Food industries engineer Jobs

<p>As a Cloud Software Engineer - Full Stack Developer, you are responsible for designing, developing, and maintaining both frontend and backend components of cloud-based applications. You will create scalable and efficient solutions that meet the needs of our users, in addition to working with modern cloud technologies, implementing features, and ensuring the overall performance, security, and usability of our applications. Design, develop, and maintain both frontend and backend components of cloud-based applications. Implement user-facing features and user interfaces that are responsive, visually appealing, and intuitive. Develop server-side logic and APIs. Design and develop cross-platform mobile applications using React Native. Ensure the performance, quality, and responsiveness of the applications. Collaborate with designers and product managers to implement user-friendly interfaces. Leverage cloud platforms (such as AWS, Azure, Google Cloud) to build, deploy, and manage applications. Implement serverless and microservices architectures for improved scalability and performance. Collaborate with UI/UX designers to ensure seamless integration of design elements and user experience. Work with product managers and other stakeholders to understand requirements and translate them into technical solutions. Design and implement databases, ensuring data integrity and optimal performance. Write and optimize database queries to retrieve and manipulate data efficiently. Implement security best practices to ensure the confidentiality, integrity, and availability of user data. Optimize application performance for speed and scalability, considering both frontend and backend aspects. Set up and manage automated deployment pipelines to ensure rapid and reliable releases. Implement testing strategies to validate the functionality and performance of the application. Identify and resolve bugs, bottlenecks, and performance issues in the application. Conduct thorough testing and debugging of the application at various stages of development. Stay up to date with emerging technologies, trends, and best practices in cloud computing and full stack development. Propose innovative solutions to enhance the architecture, scalability, and performance of applications.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Computer Science, Software Engineering, or related field (Master's preferred).</li><li>Proven experience as a Full Stack Developer or similar role, with a focus on cloud-based applications.</li><li>Experience with cloud platforms like AWS, Azure, or Google Cloud, including services like EC2, Lambda, S3, DynamoDB, etc.</li><li>Strong understanding of database design and management (SQL, NoSQL).</li><li>Familiarity with RESTful APIs, microservices architecture, and containerization (Docker, Kubernetes).</li><li>Knowledge of version control using Git and collaboration using platforms like GitHub or GitLab.</li><li>Proficiency in programming languages such as JavaScript (Node.js, React, Angular, or Vue) and backend languages (Python, Java, Ruby, etc.).</li><li>Understanding of Agile development methodologies and DevOps practices.</li><li>Excellent problem-solving skills and the ability to work effectively in a collaborative team environment.</li><li>Strong communication skills to effectively convey complex technical concepts to both technical and non-technical team members.</li><li>Proficiency in written and spoken English with outstanding abilities to communicate in person, in writing, and over the phone.</li><li>Excellent time management and organizational skills.</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Aspire Software is looking for an intermediate Full-Stack Engineer to join our team in Lebanon.<br> Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals.<br> By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.<br> Role Overview This role is a strong fit for someone whose center of gravity is backend design, API design, and system evolution.<br> You’ll help modernize and grow a cloud-based SaaS platform used in real operational environments, with the chance to shape both new features and the way existing systems are improved over time.<br> What you’ll do Design, build, and refine full stack features for a multi-tenant SaaS platform serving enterprise restaurant and catering customers.<br> Design and implement backend services and REST APIs with strong attention to clarity, maintainability, and backward compatibility.<br> Work across Java/Spring services and modern React/Node.<br>js applications as part of an evolving platform.<br> Contribute to architectural improvements and help move existing patterns toward more event-driven designs over time.<br> Write automated tests and help maintain a reliable, secure, production-ready engineering environment.<br> Author and maintain CI/CD workflows in GitHub Actions and participate in the full lifecycle from design through deployment.<br> Collaborate closely with product and engineering peers to turn real-world customer needs into thoughtful software solutions.<br> Take ownership of the features you build, with a strong focus on follow-through, product quality, and steady delivery.<br> Professional experience as a full stack engineer, with strong backend depth and comfort working across the stack.<br> Strong experience with Java, Spring Boot, and Hibernate in production systems.<br> Production experience with React and Node.<br>js. Experience designing and implementing REST APIs in real-world applications.<br> Experience working with cloud-based SaaS applications and multi-tenant product considerations.<br> Familiarity with message-based or event-driven systems.<br> Experience shipping meaningful software in e-commerce, ERP, or CRM environments; e-commerce experience is especially relevant for this role.<br> Commitment to automated testing, code quality, and secure development practices, including awareness of common web security risks.<br> Experience with CI/CD pipelines, including hands-on work with GitHub Actions or similar tooling.<br> Nice to have Experience with approval workflows, complex pricing, or enterprise order flows.<br> Exposure to POS integrations or payment gateways.<br> Experience with Azure Cosmos DB or other document databases.<br> Familiarity with observability practices and OTEL-style instrumentation.<br> Exposure to infrastructure-as-code tools, or interest in learning within an established cloud environment.<br> Experience in hospitality, restaurant, or catering software.<br></span> </div>

<p><h4>Description</h4> <p>Aspire Software is looking for an AI engineer to join our team in Lebanon.</p> <p>Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p> <h4>About the job</h4> <p>This is a builder role for someone obsessed with what agents can actually do in production. You'll design and ship autonomous AI systems that operate inside the Polygon marketplace — agents that understand jewelry listings, assist buyers and sellers, surface intelligence across decades of trade data, and automate workflows that have been manual for forty years. You won't just be wiring up LLM calls. You'll be designing agentic systems end-to-end: tool definitions, planning loops, memory, evals, guardrails, observability, and the product surfaces that put these capabilities in front of real users.</p> <h4>Key responsibilities</h4> <li>Design and build agentic systems that power core marketplace experiences — listing intelligence, semantic and multi-step search, buyer/seller assistants, trade matching, content moderation, and market analytics</li> <li>Architect tool-using agents with reliable planning, execution, and recovery</li> <li>Build the supporting infrastructure: RAG pipelines, vector search, evals, prompt management, traceability, and cost/latency monitoring</li> <li>Partner with product and design to translate agentic capabilities into UX that members actually use and trust</li> <li>Establish patterns and primitives so the rest of the engineering team can ship agent-powered features confidently</li> <li>Stay on the frontier — evaluate new models, frameworks, and techniques and bring the ones that matter into production</li> <h4>Requirements</h4> <li>3 - 5 years of experience</li> <li>Production experience building agentic systems with LLMs — not just chat wrappers, but agents that plan, use tools, and complete multi-step tasks</li> <li>Deep familiarity with at least one major LLM API (Anthropic, OpenAI, or equivalent), including tool use / function calling, structured outputs, and streaming</li> <li>Experience designing and running evals for non-deterministic systems</li> <li>Strong software engineering fundamentals — TypeScript/Python, modern web stack, API design</li> <li>Pragmatic judgment about when to use agents, when to use simpler pipelines, and when not to use AI at all</li></p><p></p>

<p><h4>Description</h4> <p>Aspire Software is looking for an AI engineer to join our team in Lebanon.</p> <p>Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p> <h4>About the job</h4> <p>This is a builder role for someone obsessed with what agents can actually do in production. You'll design and ship autonomous AI systems that operate inside the Polygon marketplace — agents that understand jewelry listings, assist buyers and sellers, surface intelligence across decades of trade data, and automate workflows that have been manual for forty years. You won't just be wiring up LLM calls. You'll be designing agentic systems end-to-end: tool definitions, planning loops, memory, evals, guardrails, observability, and the product surfaces that put these capabilities in front of real users.</p> <h4>Key responsibilities</h4> <li>Design and build agentic systems that power core marketplace experiences — listing intelligence, semantic and multi-step search, buyer/seller assistants, trade matching, content moderation, and market analytics</li> <li>Architect tool-using agents with reliable planning, execution, and recovery</li> <li>Build the supporting infrastructure: RAG pipelines, vector search, evals, prompt management, traceability, and cost/latency monitoring</li> <li>Partner with product and design to translate agentic capabilities into UX that members actually use and trust</li> <li>Establish patterns and primitives so the rest of the engineering team can ship agent-powered features confidently</li> <li>Stay on the frontier — evaluate new models, frameworks, and techniques and bring the ones that matter into production</li> <h4>Requirements</h4> <li>3 - 5 years of experience</li> <li>Production experience building agentic systems with LLMs — not just chat wrappers, but agents that plan, use tools, and complete multi-step tasks</li> <li>Deep familiarity with at least one major LLM API (Anthropic, OpenAI, or equivalent), including tool use / function calling, structured outputs, and streaming</li> <li>Experience designing and running evals for non-deterministic systems</li> <li>Strong software engineering fundamentals — TypeScript/Python, modern web stack, API design</li> <li>Pragmatic judgment about when to use agents, when to use simpler pipelines, and when not to use AI at all</li></p><p></p>

<p><h4>Description</h4> <p>Kaizen Asset Management Services is at the forefront of integrating advanced technology within the asset and property management sector. We are currently looking for a talented Full Stack Engineer to join our dynamic team remotely. In this role, you will be responsible for developing and maintaining our web applications, contributing to both front-end and back-end development while ensuring a seamless user experience.</p> <h4>Key responsibilities:</h4> <ul> <li>Design, build, and maintain efficient, reusable, and reliable code for both front-end and back-end applications.</li> <li>Collaborate with UI/UX designers to implement intuitive and responsive user interfaces that enhance user engagement.</li> <li>Develop server-side logic, define and maintain databases, and ensure high performance and responsiveness to requests from the front-end.</li> <li>Work with a variety of web technologies, frameworks, and languages, ensuring optimal architecture and functionalities.</li> <li>Participate in code reviews, contributing to team knowledge sharing and continuous improvement initiatives.</li> <li>Identify and troubleshoot performance and scalability issues, implementing solutions to enhance the user experience.</li> <li>Stay up-to-date with emerging technologies and industry trends, applying them to improve our products.</li> </ul> <h4>Requirements</h4> <p><strong>I. Education:</strong><br> Bachelor's degree in Computer Science, Software Engineering, or a related field.</p> <p><strong>II. Experience:</strong><br> Minimum of 3 years of professional experience in full-stack development.</p> <p><strong>III. Technical skills:</strong></p> <ul> <li>Proficient in front-end technologies such as HTML, CSS, and JavaScript frameworks (e.g., React, Angular, or Vue.js).</li> <li>Strong experience in back-end languages such as Node.js, Python, Ruby, or Java.</li> <li>Hands-on experience with database management systems (SQL and NoSQL, e.g., PostgreSQL, MongoDB).</li> <li>Understanding of RESTful API design and integration.</li> <li>Familiarity with version control systems, especially Git.</li> <li>Experience with cloud services (AWS, Azure, etc.) is a plus.</li> </ul> <p><strong>IV. Soft skills:</strong></p> <ul> <li>Excellent problem-solving and analytical skills.</li> <li>Strong communication skills, with the ability to articulate complex technical concepts clearly.</li> <li>Ability to work effectively in a remote team environment.</li> <li>Strong attention to detail and commitment to high-quality deliverables.</li> </ul> <p><strong>V. Preferred qualifications:</strong></p> <ul> <li>Experience in the asset management or real estate sector.</li> <li>Keen interest in agile methodologies and participation in an agile development team.</li> </ul></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Aspire Software is looking for an AI Engineer to join our team in Lebanon.<br> Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals.<br> By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.<br> About the job: This is a builder role for someone obsessed with what agents can actually do in production.<br> You'll design and ship autonomous AI systems that operate inside the Polygon marketplace — agents that understand jewelry listings, assist buyers and sellers, surface intelligence across decades of trade data, and automate workflows that have been manual for forty years.<br> You won't just be wiring up LLM calls.<br> You'll be designing agentic systems end-to-end: tool definitions, planning loops, memory, evals, guardrails, observability, and the product surfaces that put these capabilities in front of real users.<br> Key Responsibilities Design and build agentic systems that power core marketplace experiences — listing intelligence, semantic and multi-step search, buyer/seller assistants, trade matching, content moderation, and market analytics Architect tool-using agents with reliable planning, execution, and recovery Build the supporting infrastructure: RAG pipelines, vector search, evals, prompt management, traceability, and cost/latency monitoring Partner with product and design to translate agentic capabilities into UX that members actually use and trust Establish patterns and primitives so the rest of the engineering team can ship agent-powered features confidently Stay on the frontier — evaluate new models, frameworks, and techniques and bring the ones that matter into production 3 - 5 years of experience Production experience building agentic systems with LLMs — not just chat wrappers, but agents that plan, use tools, and complete multi-step tasks Deep familiarity with at least one major LLM API (Anthropic, OpenAI, or equivalent), including tool use / function calling, structured outputs, and streaming Experience designing and running evals for non-deterministic systems Strong software engineering fundamentals — TypeScript/Python, modern web stack, API design Pragmatic judgment about when to use agents, when to use simpler pipelines, and when not to use AI at all</span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p> <span><b>The Company</b></span> </p> <p>Toters is an on-demand e-commerce and delivery platform that enables customers to get anything in their city with the highest level of convenience.</p> <p>Technology is at the heart of everything we do. Our product and engineering teams work every day to build experiences that make customers lives easier while continuously improving internal systems to deliver faster and at the best cost.</p> <p>If you re excited about working in a high-growth startup environment and want to be part of a team shaping the future of how people shop in the Middle East, we d love to hear from you.<br> <br> </p> <p> <span><b>About the role</b></span> </p> <p>We re looking for a Mid-Level Android Engineer who takes ownership of delivering medium-to-large features end-to-end, from design to production. You ll make technical decisions independently, manage risks and dependencies, and ensure reliable, high-quality releases that drive team and product impact.</p> <p>You ll design scalable Android modules, write clean, maintainable, and well-tested code, and improve existing workflows through automation, tooling, and documentation. You ll collaborate closely with Product, Design, QA, and Backend teams to resolve ambiguity early and deliver features smoothly across functions.</p> <p>As a key contributor, you ll also provide informal mentorship, share knowledge through code reviews, and help onboard and guide newer engineers, reinforcing a culture of collaboration and continuous improvement.</p> <p>In this role, you will:</p> <ul> <li>Lead the delivery of medium-to-large mobile features from design to production.</li> <li>Break down requirements, estimate effort, and manage risks with minimal oversight.</li> <li>Write clean, maintainable code with strong unit and integration test coverage.</li> <li>Design and implement scalable modules aligned with team architecture standards.</li> <li>Ensure stability post-launch through proactive testing, monitoring, and debugging.</li> <li>Collaborate closely with Product, Design, QA, and Backend teams to deliver high-quality user experiences.</li> <li>Improve team efficiency through automation, tooling enhancements, and better documentation.</li> <li>Provide constructive code reviews and support peers through informal mentorship.<br> <br> </li> </ul> <p> <span><b>Key Qualifications</b></span> </p> <ul> <li>Bachelor s degree in Computer Science or a related field.</li> <li>3 5 years of professional experience in Android development.</li> <li>Strong proficiency in Kotlin and experience with Jetpack Compose and other Jetpack libraries.</li> <li>Familiarity with Dependency Injection (DI) frameworks.</li> <li>Experience designing and building Android features or modules following best practices and design patterns.<br>Understanding of mobile architecture principles, performance optimization, and scalability basics.</li> <li>Knowledge of the mobile development lifecycle, including testing and debugging.</li> <li>Experience with Git and collaborative development workflows.</li> <li>Ability to write clean, maintainable, and well-tested code.</li> <li>Good problem-solving skills and ability to work independently with minimal guidance.</li> <li>Experience with app analytics or crash reporting tools (e.g., Firebase Analytics, Crashlytics) is a plus.</li> <li>Familiarity with reactive programming (RxKotlin, Flows, etc.) is a plus.</li> <li>Strong communication and collaboration skills within a cross-functional team.<br> <br> </li> </ul> <p> <span><b>Why Toters?</b></span> </p> <ul> <li>Flexible work environment with hybrid-friendly roles.</li> <li>Opportunity to lead impactful initiatives and shape technical strategy.</li> <li>Collaborate with talented engineers while growing your career.</li> <li>Strong culture of mentorship, collaboration, and continuous learning.</li> <li>Direct impact on products used by thousands of customers every day.</li> <li>Competitive compensation package.</li> <li>Exclusive discounts on Toters orders.</li> <li>First-class medical insurance.</li> </ul></div></section>

Role Overview <br>Build production AI systems for clients. You'll design and ship agentic workflows on Claude and AWS Bedrock AgentCore, retrieval systems backed by Bedrock Knowledge Bases, and MCP-based automations that connect directly into client tool stacks (Notion, Linear, HubSpot, AWS, Google Workspace, and more). This is a hands-on build role. You will write code, deploy infrastructure, and sit in client rooms explaining why the system behaves the way it does. <br>Tasks & Responsibilities <br>Design and build applied AI systems on Claude and AWS Bedrock AgentCore: RAG pipelines backed by Bedrock Knowledge Bases, agentic workflows, and multi-tool orchestration via MCP. <br>Own delivery of AI components end-to-end: architecture, implementation, evaluation, and post-launch monitoring. <br>Integrate Claude-based agents with client infrastructure and business tools via MCP servers (HubSpot, Notion, Linear, Google Workspace). <br>Translate ambiguous client problems into scoped technical builds with clear success criteria and numbers attached. <br>Document architecture and decisions in the client's Notion record so infra details never live only in someone's head. <br>Work alongside Pre-Sales Engineers during scoping calls to validate technical feasibility before commitments are made. <br>Select and tune the right model, retrieval strategy, and Knowledge Base configuration per use case. <br>Build and maintain eval suites (offline test sets, regression checks, LLM-as-judge scoring) that catch quality drift before a client does. <br>Design agentic control flow: tool-selection logic, retry/fallback paths, and guardrails against runaway loops or unsafe tool calls. <br>Instrument production systems with logging, tracing, and cost/latency dashboards to debug a bad output from a client. <br>Write modular infrastructure as code (Terraform) for AI workloads on AWS. <br>Conduct architecture reviews on other engineers' AI builds and flag failure modes before they ship. <br>Competencies <br>Can explain to a client, in plain language, why an agent made the tool call it made <br>Comfortable debugging a production LLM failure under time pressure, not just in a notebook <br>Can wire an MCP server into an agent and debug why a tool call didn't fire <br>Education, Experience & Language <br>Master's degree in Computer Science or equivalent <br>Previous experience building and shipping production ML/AI systems <br>Fluent in English and Arabic <br>Tools & Certifications <br>Strong Python engineering; comfort with AWS <br>Practical experience with LLM application patterns: RAG, agentic tool-use via MCP, prompt engineering, evaluation design <br>Hands-on experience with AWS Bedrock AgentCore and Bedrock Knowledge Bases <br>Nice to have: AWS Certified Machine Learning Engineer – Associate, AWS Certified Generative AI Developer – Professional, AWS Certified Solutions Architect – Associate or Professional, AWS Certified Developer – Associate, AWS Certified Security – Specialty (relevant given our compliance posture) <br>To Apply visit: https://digicosolutions.bamboohr.com/careers/33

Job Location is Oman. <br> <br>To lead the preparation, coordination, and submission of competitive, technically sound, and commercially viable proposals for infrastructure and road construction projects. The Senior Proposal Engineer ensures that all proposals align with client requirements, project constraints, and company capabilities. <br> <br>Operational • Coordinate with project teams to prepare detailed, project-specific method statements for roads, drainage, utilities, and structures. <br>• Ensure constructability, execution sequencing, and methodologies are optimized for site conditions and client expectations. <br>• Suggest value engineering solutions and identify execution risks. <br>• Identify manpower, equipment, and material needs based on project scope and duration. <br>• Validate technical drawings, BOQs, and quantities for accuracy and completeness. <br>• Collaborate with planning teams to develop construction schedules and resource histograms. <br>• Prepare and review technical write-ups such as site layouts, execution strategies, construction sequences, and compliance matrices. <br>• Format and finalize engineering execution sections of the technical proposal. <br>• Participate in site visits, pre-tender meetings, and internal technical briefings. <br>• Respond to technical clarifications from clients during and post-submission. <br>• Prepare detailed cost estimates covering direct, indirect, and overhead costs. <br>• Develop unit rates using current market pricing, labor/productivity norms, and equipment utilization. <br>• Identify scope gaps or inconsistencies in tender documents and highlight commercial risks. <br>• Coordinate with the sourcing team to collect, evaluate, and integrate vendor/subcontractor quotations. <br>• Perform quotation comparisons and select competitive, compliant options for pricing. <br>• Clearly document pricing assumptions, inclusions, exclusions, and contingencies. <br>• Maintain cost records and data for future reference and post-submission clarifications. <br>• Ensure all commercial documents comply with client requirements, forms, and internal formats. <br>• Finalize commercial submission documents in coordination with the proposal and technical teams. <br>• Participate in commercial review meetings and provide justifications or clarifications as needed. <br>• Work closely with technical, sourcing, planning, and document control units to align and integrate content. <br>• Ensure submission materials (technical and commercial) are internally consistent, complete, and professionally presented. <br>• Support timely delivery of all proposal components and ensure they meet submission deadlines. <br> <br>Management & Leadership • Prioritizing the tasks of the Proposal engineers. <br>• Guiding the Proposal engineers when computing direct costs, creating bid assumptions sheet and quotations comparison sheets. <br>• Highlighting proposals major risks to the proposal unit head. <br>Health, Safety, Environment & Quality • Aware of HSE company policy. <br> <br>• Bachelor’s degree in civil engineering or equivalent, master’s degree is a Plus. <br>• Minimum 10 years’ experience out of which minimum 5 years in Estimation. <br>• Proficient in using MS Office as minimum, Estimation tools, such as CANDY or similar software

Job Location is Oman. <br> <br>To lead the preparation, coordination, and submission of competitive, technically sound, and commercially viable proposals for infrastructure and road construction projects. The Senior Proposal Engineer ensures that all proposals align with client requirements, project constraints, and company capabilities. <br> <br>Operational • Coordinate with project teams to prepare detailed, project-specific method statements for roads, drainage, utilities, and structures. <br>• Ensure constructability, execution sequencing, and methodologies are optimized for site conditions and client expectations. <br>• Suggest value engineering solutions and identify execution risks. <br>• Identify manpower, equipment, and material needs based on project scope and duration. <br>• Validate technical drawings, BOQs, and quantities for accuracy and completeness. <br>• Collaborate with planning teams to develop construction schedules and resource histograms. <br>• Prepare and review technical write-ups such as site layouts, execution strategies, construction sequences, and compliance matrices. <br>• Format and finalize engineering execution sections of the technical proposal. <br>• Participate in site visits, pre-tender meetings, and internal technical briefings. <br>• Respond to technical clarifications from clients during and post-submission. <br>• Prepare detailed cost estimates covering direct, indirect, and overhead costs. <br>• Develop unit rates using current market pricing, labor/productivity norms, and equipment utilization. <br>• Identify scope gaps or inconsistencies in tender documents and highlight commercial risks. <br>• Coordinate with the sourcing team to collect, evaluate, and integrate vendor/subcontractor quotations. <br>• Perform quotation comparisons and select competitive, compliant options for pricing. <br>• Clearly document pricing assumptions, inclusions, exclusions, and contingencies. <br>• Maintain cost records and data for future reference and post-submission clarifications. <br>• Ensure all commercial documents comply with client requirements, forms, and internal formats. <br>• Finalize commercial submission documents in coordination with the proposal and technical teams. <br>• Participate in commercial review meetings and provide justifications or clarifications as needed. <br>• Work closely with technical, sourcing, planning, and document control units to align and integrate content. <br>• Ensure submission materials (technical and commercial) are internally consistent, complete, and professionally presented. <br>• Support timely delivery of all proposal components and ensure they meet submission deadlines. <br> <br>Management & Leadership • Prioritizing the tasks of the Proposal engineers. <br>• Guiding the Proposal engineers when computing direct costs, creating bid assumptions sheet and quotations comparison sheets. <br>• Highlighting proposals major risks to the proposal unit head. <br>Health, Safety, Environment & Quality • Aware of HSE company policy. <br> <br>• Bachelor’s degree in civil engineering or equivalent, master’s degree is a Plus. <br>• Minimum 10 years’ experience out of which minimum 5 years in Estimation. <br>• Proficient in using MS Office as minimum, Estimation tools, such as CANDY or similar software

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Aspire Software is looking for a Data Scientist to join our team in Lebanon.<br> Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals.<br> By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.<br> About the job: We are looking for a Senior Machine Learning Engineer who wants to own that evolution.<br> This is not a research-only role.<br> You will frame problems, explore data, design models, build evaluation systems, investigate real customer issues, and ship production services.<br> Your work will influence real pricing decisions and measurable hotel revenue not just dashboards or internal prototypes.<br> What You'll Work On -Pricing intelligence: Advance our pricing engine using probabilistic forecasting, elasticity estimation, contextual bandits, reinforcement learning, and other appropriate optimization methods.<br> Demand forecasting: Improve booking-curve and final-occupancy forecasts, including uncertainty estimates that can inform safer pricing decisions.<br> Safe experimentation: Build historical replay, simulation, backtesting, shadow deployment, and controlled rollout capabilities to measure revenue impact before models affect customers.<br> Production ML: Turn models into reliable, tested, and observable Python services, owning the path from experimentation through deployment, monitoring, and rollback.<br> Problem-solving and customer investigations: Debug unexpected pricing, data, integration, and production behavior.<br> Trace customer-reported issues to their root cause and turn incidents into lasting improvements.<br> Data and intelligent experiences: Strengthen the reservation, occupancy, competitor-rate, PMS, and event-data pipelines behind our decisions, while contributing to AI-powered explanations and revenue-manager tools.<br> Tech Stack Python 3.<br>11, FastAPI, Pydantic, SQLAlchemy 2.<br>0, and Alembic PostgreSQL/Supabase and Redis Pandas, Polars, NumPy, and statsmodels OpenAI, Anthropic, LangChain, and LangGraph PredictHQ and multiple hotel PMS and market-data integrations AWS ECS/Fargate, SQS, EventBridge, S3, and CloudWatch Docker, GitHub Actions, Prometheus, and PostHog Experience taking machine-learning systems from problem definition through production deployment and monitoring.<br> Strong Python and SQL skills, including experience building modular, typed, tested production software—not only exploratory notebooks.<br> A solid foundation in statistics, experimentation, forecasting, and model evaluation.<br> Experience working with time-dependent, noisy, incomplete, or imperfect real-world data.<br> Strong analytical problem-solving skills and a methodical approach to ambiguous technical issues.<br> Proven ability to debug production systems, including data pipelines, APIs, asynchronous jobs, integrations, and model behavior.<br> Experience investigating customer-reported issues, identifying root causes, and communicating findings clearly to technical and non-technical stakeholders.<br> A habit of improving systems after incidents through better tests, monitoring, documentation, safeguards, or architecture.<br> The judgment to balance model sophistication with reliability, explainability, and business value.<br> Comfort working with APIs, relational databases, containers, cloud infrastructure, and CI/CD.<br> Clear communication skills and an ability to work closely with engineers, product leaders, revenue-management experts, and customer-facing teams.<br> A high level of ownership: you can turn an ambiguous business or customer problem into a practical, measurable plan and carry it through to completion.<br> Years of experience are a useful signal, but not the deciding factor.<br> We care more about what you have built, how you reason, and how you respond when models and systems meet the real world.<br> Nice to Have You do not need everything on this list: Contextual bandits, reinforcement learning, recommendation systems, bidding, or other sequential decision systems.<br> Probabilistic demand forecasting or hierarchical Bayesian modeling.<br> Pricing, revenue management, marketplaces, travel, hospitality, advertising, or e-commerce.<br> Causal inference and off-policy evaluation.<br> Model drift, data-quality monitoring, and experiment-tracking systems.<br> Multi-tenant SaaS or event-driven architectures.<br> Debugging distributed systems and third-party integrations in production.<br> LLM applications and agentic workflows.<br> AWS services such as ECS, SQS, EventBridge, S3, and CloudWatch.<br> Hospitality experience is welcome, but not required.<br> We will help you learn the domain.<br> What We Value Speed with quality — Ship fast, but ship code and models a staff engineer would approve AI-native workflow — You don't just know about AI tools, you use them daily to write, debug, and architect Ownership — Pick up a problem and drive it to completion without hand-holding Simplicity — Elegant solutions over over-engineered ones.<br> Minimal code that does the job Curiosity — Our domain (hotel revenue optimization) has real depth.<br> You're excited to learn it</span> </div>

Role Overview <br>We are expanding our operations in the Democratic Republic of Congo and looking for an exceptional mechanical engineer to join our site team. <br> <br>If you are a hands-on mechanical expert who thrives in heavy industrial environments and excels at maximizing equipment uptime, diagnosing complex mechanical failures, and optimizing machinery performance, this role is for you! You will be the technical backbone ensuring our heavy assets operate safely, efficiently, and reliably. <br> <br>Key Responsibilities <br>Equipment Reliability & Maintenance: Develop and execute comprehensive preventive and predictive maintenance programs for heavy machinery and industrial equipment to maximize operational uptime. <br> <br>Root-Cause Failure Analysis: Lead investigations into mechanical breakdowns, component failures, and system anomalies. Design and implement permanent engineering solutions to prevent recurrence. <br> <br>Technical Oversight & Spare Parts Specifications: Define technical specifications for critical spare parts, review material quality, and collaborate with procurement to ensure replacement components meet rigorous engineering standards. <br> <br>Installation & Commissioning: Oversee the installation, alignment, testing, and commissioning of new mechanical systems, hydraulic/pneumatic circuits, and heavy plant equipment. <br> <br>Workshop & Team Leadership: Guide on-site technicians and mechanical teams during complex repairs, ensuring strict adherence to safety protocols, quality standards, and standard operating procedures (SOPs). <br> <br>Role Requirements & Qualifications <br>Education: Bachelor’s degree in Mechanical Engineering or a closely related technical engineering discipline. <br> <br>Language: Proficiency in French (spoken and written) for effective on-site communication and technical oversight

We are seeking an experienced Senior Backend / Platform Engineer to join a Swiss Company for its back office in Lebanon to play a critical role in building the architectural foundation of a next-generation multi-tenant digital banking platform. <br>The ideal candidate should meet the following requirements: <br>• Bachelor’s degree in computer science, Software Engineering, Information Technology, or related discipline. <br>• Minimum 8 years of backend software engineering experience. <br>• At least 5 years of hands-on experience developing applications using Node.js, TypeScript, and NestJS (or similar enterprise frameworks). <br>• Proven experience designing and implementing large-scale multi-tenant SaaS platforms. <br>• Strong expertise in PostgreSQL, including Row-Level Security (RLS), schema design, indexing, query optimization, and performance tuning. <br>• Solid experience implementing OAuth2, OpenID Connect, JWT authentication, Single Sign-On (SSO), and Multi-Factor Authentication (MFA). <br>• Hands-on experience building and managing Docker-based applications and CI/CD pipelines. <br>• Strong understanding of cloud infrastructure, preferably Microsoft Azure. <br>• Extensive knowledge of secure software development practices, encryption technologies, secrets management, and API security. <br>• Proven experience integrating external APIs, including payment gateways, financial services, KYC providers, or similar enterprise integrations. <br>• Strong analytical thinking, problem-solving, and software architecture skills. <br>• Excellent communication skills and the ability to work collaboratively in cross-functional engineering teams. <br> <br>Preferred Qualifications <br>• Previous experience within FinTech, Digital Banking, Payments, or Banking-as-a-Service (BaaS). <br>• Experience with API Gateways, Service Meshes, Message Queues, and Event-Driven Architectures. <br>• Knowledge of distributed systems monitoring, observability, logging, and tracing. <br>• Experience participating in large-scale platform modernization or single-tenant to multi-tenant migrations. <br>• Working knowledge of React and Next.js sufficient to review frontend API contracts. <br>• Ability to understand and review software written in other programming languages such as Java, Kotlin, or C#. <br> <br>AI-Driven Engineering Experience <br>• Daily hands-on experience using AI coding assistants such as ChatGPT, GitHub Copilot, Cursor, Claude, or similar platforms. <br>• Strong prompt engineering skills with the ability to produce accurate technical specifications for AI coding agents. <br>• Experience reviewing, validating, and improving AI-generated code. <br>• A deep understanding of where AI-generated code may introduce architectural, security, or scalability risks

Company Description <br> <br> <br> <br>Manoukian E.P.QS & Construction Management is a Lebanon-based consultancy providing Cost Consultancy, Quantity Surveying, Project Management, Construction Management, Project Controls, Tender Services, Claims & Counterclaims, Employer Representation, Specifications, and BIM Services across Lebanon and regional markets. <br> <br> <br> <br>Role Description <br> <br> <br> <br>We are seeking a Senior Foreman & an experiend Site Engineer for a full-time, on-site position in Metn. The role involves supervising daily construction activities, coordinating contractors and site teams, monitoring progress, and ensuring works comply with drawings, specifications, schedules, quality, and safety requirements. <br> <br> <br> <br>Qualifications <br> <br>- Minimum 10 years of relevant experience <br>- Degree in Civil Engineering, Construction Management, or related field <br>- Strong site supervision and construction experience <br>- Ability to read and interpret construction drawings <br>- Strong coordination, leadership, and problem-solving skills <br>- Knowledge of quality and safety requirements <br>- Ability to coordinate contractors and subcontractors <br>- Available for full-time on-site work in Beirut

<p><strong>Job Description Role Overview:</strong> The Microsoft Fabric Data Engineer is responsible for designing, building, optimizing, and operating enterprise-scale data platforms on Microsoft Fabric. This role focuses on data ingestion, transformation, storage, governance, automation, and platform reliability using OneLake, Lakehouse, Data Warehouse, Data Pipelines, and Spark technologies. The position is heavily focused on Data Engineering and Platform Engineering rather than reporting and dashboard development. The successful candidate will build scalable, governed, and high-performance data solutions that support analytics, AI, operational reporting, and business intelligence initiatives across the organization. This role is primarily focused on Data Engineering, Data Platform Development, and Microsoft Fabric architecture. Candidates whose experience is primarily centered around Power BI report development, dashboard creation, or data visualization without substantial Data Engineering experience may not be a fit for this position.</p><p><strong>Key Responsibilities</strong></p><ol><li><strong>Data Engineering &amp; Platform Development</strong> Design and implement enterprise-scale Lakehouse architectures using OneLake and Delta Lake. Build and maintain robust batch, incremental, CDC, and near real-time data ingestion pipelines. Develop scalable ETL/ELT solutions using Fabric Data Pipelines, Dataflows Gen2, PySpark, and SQL. Implement and manage Medallion Architecture (Bronze, Silver, Gold). Develop reusable and metadata-driven ingestion and transformation frameworks. Integrate data from ERP systems, SAP, REST APIs, SQL Server, Dataverse, and other enterprise applications. Design and maintain enterprise data models supporting analytical and operational workloads.</li><li><strong>Fabric Engineering &amp; Optimization</strong> Develop and optimize Fabric Lakehouses and Data Warehouses. Build advanced Notebook-based transformations utilizing PySpark and Spark SQL. Implement Delta Lake capabilities including: Merge/Upsert Change Data Feed (CDF) Time Travel Schema Evolution Optimize Vacuum Design scalable storage, partitioning, and file management strategies within OneLake. Optimize Spark workloads and Data Warehouse performance.</li><li><strong>Performance, Reliability &amp; Monitoring</strong> Tune large-scale Spark and SQL workloads. Implement monitoring, alerting, and operational dashboards using Fabric Monitoring Hub and Metrics. Conduct performance testing and scalability assessments. Troubleshoot pipeline failures and platform performance bottlenecks. Define and monitor SLAs for critical data assets and pipelines. Ensure high availability and operational excellence across data workloads.</li><li><strong>DevOps &amp; Platform Automation</strong> Implement CI/CD using Fabric Git Integration and Deployment Pipelines. Build automated deployment processes across Development, Test, and Production environments. Develop automated testing frameworks for data quality, schema validation, and regression testing. Manage environment configurations, secrets, and deployment parameters. Utilize Azure DevOps or GitHub Actions to support release automation and governance. Define rollback, release management, and change control processes.</li><li><strong>Data Quality, Governance &amp; Security</strong> Implement automated data quality validation frameworks. Develop reconciliation, completeness, and consistency checks. Manage data lineage, metadata, and documentation standards. Implement sensitivity labels, access controls, auditing, and compliance requirements. Ensure adherence to organizational standards for governance, security, retention, and PII handling. Manage workspace permissions, Managed Identities, RLS, and CLS where required.</li><li><strong>Technical Leadership &amp; Collaboration</strong> Translate business requirements into scalable technical solutions. Collaborate with Data Architects, Data Analysts, Integration Engineers, and business stakeholders. Lead engineering best practices and platform standards. Mentor junior engineers and support knowledge-sharing initiatives. Produce architecture documentation and technical design specifications. Drive continuous improvement of the data platform and engineering practices.</li></ol><p><strong>Desired Candidate Profile</strong></p><h2>Qualifications and Experience:</h2><ul><li>Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field.</li><li>Minimum 5 years of experience in Data Engineering.</li><li>Minimum 2 years of hands-on experience with Microsoft Fabric, Azure Data Engineering, Databricks, or modern Lakehouse platforms.</li><li>Proven experience designing and building enterprise-grade data platforms.</li></ul><h2>Required Technical Skills</h2><ul><li>Microsoft Fabric</li><li>OneLake</li><li>Lakehouse</li><li>Delta Lake</li><li>Fabric Data Warehouse</li><li>Data Pipelines</li><li>Dataflows Gen2</li><li>Notebooks</li><li>Monitoring Hub</li><li>Deployment Pipelines</li><li>Git Integration</li><li>Data Engineering</li><li>PySpark</li><li>Spark SQL</li><li>SQL / T-SQL</li><li>ETL / ELT Development</li><li>Data Modeling</li><li>Incremental Processing</li><li>Change Data Capture (CDC)</li><li>Data Quality Frameworks</li><li>Medallion Architecture</li><li>Performance Optimization</li><li>Delta Lake Optimization</li><li>Partitioning Strategies</li><li>File Management</li><li>Query Optimization</li><li>Spark Performance Tuning</li><li>Workload Management</li><li>Integration</li><li>REST APIs</li><li>SQL Server</li><li>SAP</li><li>Azure Storage</li><li>Dataverse</li><li>Enterprise Application Integration</li><li>DevOps</li><li>Git</li><li>Azure DevOps</li><li>GitHub Actions</li><li>YAML Pipelines</li><li>CI/CD</li><li>Automated Testing</li><li>Security &amp; Governance</li><li>Row-Level Security (RLS)</li><li>Column-Level Security (CLS)</li><li>Sensitivity Labels</li><li>Managed Identities</li><li>Data Lineage</li><li>Audit and Compliance Controls</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.</p><br><p>The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner…</p><br><p><strong>What you will be doing?<br></strong>As a Data Engineer, your role involves crafting and maintaining robust data pipelines, utilising Python and SQL, to ensure efficient extraction, transformation, and loading (ETL) of data.<br></p><br><p><strong>Your responsibilities will include:</strong></p><br><ul><li>Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms.</li><li>Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions.</li><li>Cloud Services Integration: Leveraging cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions.</li><li>Machine Learning Integration: Collaborating with teams to integrate machine learning models into data pipelines for enhanced data processing.</li><li>Utilising Spark &amp;amp; Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics.</li></ul><p><strong>What we are looking for?</strong></p><br><ul><li>Proficiency in Python, SQL, and database management.</li><li>Experience with Data Pipelines ETL, Cloud Services (<strong>MS Azure, GCP preferred)</strong>, ML Modeling, Spark &amp;amp; Kafka.</li><li>Proven problem-solving skills and a solution-oriented mindset.</li><li>Excellent communication skills to collaborate effectively within teams and with stakeholders.</li><li>Strong business acumen with an interest in business-facing roles.</li><li>Adaptability and a start-up mentality to thrive in a dynamic environment.</li><li>Candidates with similar skill sets and experiences have excelled in technology firms or consultancy firms.</li><li>Successful candidates often possess Computer Science, Electronics, and Communication Engineering degrees.</li></ul> </div>

GlobeMed Group, the largest Healthcare Benefits Management company in the MENA region is looking for a Senior AI / ML Engineer who will be responsible for designing, developing, integrating, and deploying AI capabilities across GlobeMed. The role provides senior technical expertise in AI engineering, application development, while working closely with business and technical teams to deliver reliable, scalable, and secure AI capabilities aligned with organizational needs. <br> <br>Duties & Responsibilities: <br> <br> Design and develop AI capabilities, applications, and AI-enabled workflows using modern AI tools and frameworks. <br> Develop and integrate AI agents, APIs, and MCP-based capabilities where applicable. <br> Develop and maintain front-end and back-end components supporting AI applications. <br> Apply AI-assisted coding tools to improve development efficiency and code quality. <br> Evaluate and adopt emerging AI technologies, frameworks, and development practices. <br> Ensure AI solutions are designed with appropriate scalability, reliability, security, and maintainability. <br> Work with ICT teams to ensure appropriate infrastructure, networking, security, and resource requirements are addressed. <br> Monitor and optimize the technical performance and resource utilization of AI environments. <br> Lead technical testing and validation of AI solutions prior to implementation. <br> Evaluate AI solutions for accuracy, reliability, performance, usability, and scalability. <br> Identify technical and functional issues and coordinate their resolution. <br> Establish appropriate testing approaches for AI models, agents, integrations, and applications. <br> Training, evaluating, and fine-tuning ML models on historical data for predictive analysis. <br> <br>Qualifications <br> <br>Education: <br> <br> Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Information Technology, or a related technical field. <br> Relevant Master's degree or professional AI/cloud certification is an advantage. <br> <br>Experience/Knowledge: <br> <br> 3-6 years of experience in AI Platforms. <br> Strong hands-on experience developing and deploying AI applications and capabilities. <br> Strong knowledge of modern AI tools, frameworks, APIs, LLMs, and AI development practices. <br> Experience with AI agents, MCPs, and AI integrations. <br> Experience using AI coding and AI-assisted software development tools. <br> Experience working with legacy Databases using SQL. <br> Hands on code knowledge using python or other similar languages. <br> Source Control platform integration example GIT. <br> Previous experience working with microservices <br> Prior work experience with message queues and streaming platforms is a plus. <br> Knowledge of Agile methodology with prior experience on ticketing systems like jira is a plus. <br> Experience working on ML models with hands on experience using platforms like pytorch. <br> Hands on model testing, metrics evaluation, and fine tuning for ML predictive models

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>About Namou Properties Namou Properties is a growing real estate company focused on innovation, smart investment opportunities, and building data-driven systems that improve how we operate and scale.<br> About the Role We are looking for a detail-oriented Remote QA Engineer to join the team behind our internal ERP platform.<br> You will be responsible for ensuring the quality, reliability, and data integrity of a system that supports core business operations.<br> This role combines manual and automated testing, close collaboration with developers and the product team, and a strong emphasis on clear documentation and communication.<br> Key Responsibilities Design, write, and execute test cases for new features and enhancements across ERP modules Perform integration testing to validate how different modules and external systems exchange data Automate repetitive test scenarios using tools such as Selenium Write SQL queries to verify data accuracy and integrity across database tables Test backend services and RESTful APIs using tools such as Postman Document, track, and manage bugs through their full lifecycle, following the team's workflow Investigate complex system issues, isolate root causes, and communicate findings clearly to developers and stakeholders Participate in sprint planning and UAT cycles, and contribute to improving QA processes and test documentation Maintain organized, well-structured records of test cases, bug reports, and QA processes Why Join Namou Properties Fully remote role with flexibility and autonomy Opportunity to work on real ERP automation and data-driven systems that directly impact business operations Exposure to modern technologies, automation tools, AI solutions, and scalable business platforms High ownership role where your contributions will directly improve how the company operates and grows Collaborative environment with close interaction with developers, product teams, and business stakeholders Competitive compensation with opportunities for professional growth and career development 1–3 years of experience in software quality assurance or testing Understanding of core business processes (e.<br>g., inventory, supply, sales) and how they flow through ERP systems Hands-on experience with integration testing across modules and external systems Working knowledge of test automation tools such as Selenium Ability to write SQL queries to validate data accuracy and integrity Solid understanding of APIs and RESTful services, with experience using Postman or similar tools Basic scripting knowledge (e.<br>g., Python, JavaScript) to support test automation Strong analytical thinking and root-cause analysis skills Excellent written and verbal communication skills for reporting bugs and issues clearly Highly organized, with strong documentation habits for bugs, processes, and test cases Nice to Have Experience documenting and managing bugs in Jira Exposure to ERP, CRM, or other enterprise business systems</span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>EXUS is an enterprise software company, founded in 1989 with the vision to simplify risk management software.<br> EXUS launched it's Financial Suite (EFS) in 2003 with the aim to support financial entities worldwide to improve their results.<br> Today, our EXUS Financial Suite (EFS) is trusted by risk professionals in more than 52 countries worldwide ( MENA , EU , SEA ).<br> We introduce simplicity and intelligence in their business processes through technology, improving their collections performance.<br> Our people constitute the source of inspiration that drives us forward and help us fulfill our purpose of being role models for a better world .<br> This is your chance to be part of a highly motivated, diverse, and multidisciplinary team, which embraces breakthrough thinking and technology to create software that serves people.<br> We offer a creative, fun, and above all, inspiring working environment that fosters team spirit and promotes the greater good.<br> We are positive and eager to learn and explore.<br> We are committed to our vision.<br> Our shared Values: We are transparent and direct We are positive and fun, never cynical or sarcastic We are eager to learn and explore We put the greater good first We are frugal and we do not waste resources We are fanatically disciplined, we deliver on our promises We are EXUS!<br> Are you? We are currently seeking an experienced and enthusiastic Senior Software Engineer with strong technical skills in database development to join the Project Engineering Team remotely.<br> As a member of our Engineering Team, you will join an international team of highly skilled professionals that delivers global market-leading collection software and provides the best possible service to our clients worldwide.<br> If you are a results-focused engineer with not only strong technical skills but also customer focus, aspiring to work in an agile development environment, we certainly want to hear from you!<br> Responsibilities: Collaborate with the Delivery and Customer Success teams to implement, and improve the product Participate in the analysis, design, implementation, and review of product development modules Implement technical tasks for project delivery needs Work closely with the customer in order to define the best technical solutions for covering their business requirements Review and debug code At EXUS we help our people to achieve excellent results by creating a work environment that encourages individual and team success.<br> Fully remote work setup Competitive salary Inclusive work environment &amp; Well-being Program A clear induction program &amp; a mentoring buddy to help you Private health insurance Unlimited time off Privacy Notice for Job Applications: https://www.<br>exus.co.uk/en/careers/privacy-notice-f.<br>.. Bachelor's degree in ICT or Engineering At least 3 years of work experience in Database Development (Oracle, Postgress, SQL Server, etc.<br>) Customer-focused attitude with great attention to detail Always deliver on promises and respect deadlines Willingness and ability to work as part of a team Excellent communication and writing skills in English &amp; French Will be considered a plus: Master's degree in ICT or Engineering Good understanding of basic ETL principles.<br> Experience with server-side languages such as .<br>Net and Java Experience in IT Consulting or a similar field, preferably in the banking sector Web technologies and Internet protocols (XML, JSON, HTTP, TCP/IP) Client-side scripting and JavaScript frameworks Experience with Collection systems Experience with JIRA and Bitbucket Basic DBA skills Web Server familiarity (especially with IIS) **Ability to travel abroad, up to 20% annually, depending on project requirements and conditions**</span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $25 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>