وظائف مدير قسم المعجنات في لبنان

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><br></p><p><b>About the Role</b> Are you passionate about building scalable, reliable data platforms that power business decisions and customer experiences? As a Senior II Data Engineer at Toters, you'll design and build modern data infrastructure that enables reliable, real-time and batch data processing across the organization. You'll own the design and delivery of complex data pipelines, influence technical decisions within your domain, and help establish engineering best practices that improve the scalability, reliability, and maintainability of our data platform. Working closely with Software Engineers, Product Managers, Analytics, and Machine Learning teams, you'll help transform high-volume operational data into trusted, high-quality data products that drive business impact.</p><p>In this role, you will:</p><ul><li>Collaborate with cross-functional teams to understand business requirements and translate them into scalable data solutions.</li><li>Design, build, and maintain reliable batch and streaming data pipelines that support analytics, operational systems, and machine learning workloads.</li><li>Develop scalable data ingestion frameworks capable of processing high-volume event and transactional data.</li><li>Design and optimize data models that enable efficient analytics while supporting long-term maintainability.</li><li>Build resilient streaming solutions while balancing throughput, latency, reliability, and operational cost.</li><li>Develop and maintain modern data lakehouse architectures using cloud-native technologies and distributed data platforms.</li><li>Design schemas and data contracts that promote consistency, governance, and interoperability across systems.</li><li>Improve platform observability by implementing monitoring, alerting, data quality validation, and operational dashboards.</li><li>Troubleshoot production issues, participate in incident response, perform root cause analysis, and implement long-term improvements.</li><li>Optimize storage, compute, and data movement costs while maintaining platform performance and reliability.</li><li>Participate in architecture discussions and contribute to technical decisions that improve scalability and system resilience.</li><li>Create reusable frameworks, tooling, and engineering patterns that improve developer productivity and platform consistency.</li><li>Conduct thoughtful code reviews and share constructive feedback to maintain high engineering standards.</li><li>Mentor junior engineers through technical guidance, design discussions, and knowledge sharing.</li><li>Collaborate with Software Engineering, Product, Analytics, and Machine Learning teams to deliver scalable, high-quality data solutions.</li></ul><p>Key Qualifications</p><p>Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.</p><p>6+ years of experience designing and building production-grade data platforms or distributed data systems.</p><p>Strong SQL skills and deep understanding of data modeling, including dimensional modeling (facts and dimensions).</p><p>Hands-on experience building production data pipelines using distributed streaming platforms such as Apache Kafka, Amazon Kinesis, or Apache Pulsar, with experience in partitioning, consumer groups, schema management, delivery semantics, and troubleshooting production streaming systems.</p><p>Strong understanding of batch and streaming data processing concepts, including event time, processing time, windowing, stateful processing, and the trade-offs of exactly-once processing.</p><p>Proficiency in Python and/or JVM languages such as Java or Scala for building scalable data processing applications.</p><p>Experience designing and operating modern data lake or lakehouse architectures using Amazon S3 or equivalent object storage, Parquet, and open table formats such as Apache Iceberg, Delta Lake, or Apache Hudi.</p><p>Experience building cloud-native data infrastructure on AWS, Google Cloud Platform (GCP), or Microsoft Azure, including object storage, streaming and messaging services, IAM, networking, and cost optimization.</p><p>Experience working with distributed processing frameworks such as Apache Flink or similar streaming technologies.</p><p>Familiarity with analytical query engines such as ClickHouse or Trino.</p><p>Experience implementing Change Data Capture (CDC) solutions using Debezium or similar technologies.</p><p>Experience with modern data transformation frameworks such as dbt is a plus.</p><p>Familiarity with Infrastructure as Code using Terraform, containerization with Docker, and orchestration platforms such as Kubernetes is a plus.</p><p>Experience owning production systems, participating in on-call rotations, and resolving production data incidents.</p><p>Strong communication skills with the ability to document technical decisions, collaborate across teams, and mentor engineers.</p><p>Passion for building reliable, scalable, and maintainable data platforms.</p><p>Nice to Have</p><p>Experience building large-scale streaming architectures using Apache Flink.</p><p>Hands-on experience with Apache Iceberg, ClickHouse, or Trino in production environments.</p><p>Experience implementing CDC pipelines using Debezium or similar technologies.</p><p>Experience using dbt for transformation and analytics engineering workflows.</p><p>Experience with AWS data services such as MSK, S3, Glue, or Kinesis.</p><p>Experience deploying infrastructure using Terraform and Kubernetes.</p><p>Exposure to Machine Learning feature stores or Customer Data Platforms (CDPs).</p><p>Experience working in high-growth technology companies or on-demand marketplace platforms.</p><p>Why Toters?</p><p>Flexible work environment with hybrid-friendly roles.</p><p>Opportunity to work on a modern, cloud-native data platform that powers products used by thousands of customers every day.</p><p>Collaborate with talented engineers while growing your technical expertise and career.</p><p>Strong culture of mentorship, collaboration, and continuous learning.</p><p>Opportunity to solve complex engineering challenges involving streaming, distributed systems, and large-scale data processing.</p><p>Direct impact on business-critical products and engineering decisions.</p><p>Competitive compensation package.</p><p>Exclusive discounts on Toters orders.</p><p>First-class medical insurance.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.</li><li>6+ years of experience designing and building production-grade data platforms or distributed data systems.</li><li>Strong SQL skills and deep understanding of data modeling, including dimensional modeling (facts and dimensions).</li><li>Hands-on experience building production data pipelines using distributed streaming platforms such as Apache Kafka, Amazon Kinesis, or Apache Pulsar, with experience in partitioning, consumer groups, schema management, delivery semantics, and troubleshooting production streaming systems.</li><li>Strong understanding of batch and streaming data processing concepts, including event time, processing time, windowing, stateful processing, and the trade-offs of exactly-once processing.</li><li>Proficiency in Python and/or JVM languages such as Java or Scala for building scalable data processing applications.</li><li>Experience designing and operating modern data lake or lakehouse architectures using Amazon S3 or equivalent object storage, Parquet, and open table formats such as Apache Iceberg, Delta Lake, or Apache Hudi.</li><li>Experience building cloud-native data infrastructure on AWS, Google Cloud Platform (GCP), or Microsoft Azure, including object storage, streaming and messaging services, IAM, networking, and cost optimization.</li><li>Experience working with distributed processing frameworks such as Apache Flink or similar streaming technologies.</li><li>Familiarity with analytical query engines such as ClickHouse or Trino.</li><li>Experience implementing Change Data Capture (CDC) solutions using Debezium or similar technologies.</li><li>Experience with modern data transformation frameworks such as dbt is a plus.</li><li>Familiarity with Infrastructure as Code using Terraform, containerization with Docker, and orchestration platforms such as Kubernetes is a plus.</li><li>Experience owning production systems, participating in on-call rotations, and resolving production data incidents.</li><li>Strong communication skills with the ability to document technical decisions, collaborate across teams, and mentor engineers.</li><li>Passion for building reliable, scalable, and maintainable data platforms.</li><li>Experience building large-scale streaming architectures using Apache Flink.</li><li>Hands-on experience with Apache Iceberg, ClickHouse, or Trino in production environments.</li><li>Experience implementing CDC pipelines using Debezium or similar technologies.</li><li>Experience using dbt for transformation and analytics engineering workflows.</li><li>Experience with AWS data services such as MSK, S3, Glue, or Kinesis.</li><li>Experience deploying infrastructure using Terraform and Kubernetes.</li><li>Exposure to Machine Learning feature stores or Customer Data Platforms (CDPs).</li><li>Experience working in high-growth technology companies or on-demand marketplace platforms.</li></ul><p></p></section>

<p>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><p>As a Full Stack Developer you ll design, build, and maintain features across the full stack from database and back-end services through to the front-end screens our customers use every day. You ll work within a collaborative, cross-functional team to solve real technical challenges and deliver improvements that thousands of grant managers rely on across the UK and beyond. We re a remote-first company, so you ll collaborate with teammates across locations and are trusted to do your best work wherever you re based. This is a hands-on development role for someone who s ready to take ownership of features and grow their skills quickly. You ll contribute to technical discussions, learn from experienced engineers, and help raise the quality of everything we ship. Just as importantly, this is an AI-native role. We expect you to use modern AI tooling to problem-solve and deliver faster every day, while also helping us build AI capabilities directly into the Flexigrant platform. If using AI to accelerate your work is already second nature to you, you ll fit right in.</p><strong>Key responsibilities</strong><ul><li>Design, develop, and maintain robust, scalable, and secure features across the full stack</li><li>Write clean, efficient, well-documented code that adheres to best practices</li><li>Use AI tooling as a core part of your daily workflow to problem-solve, write, review, and ship code faster</li><li>Help build AI-powered features into the Flexigrant platform</li><li>Contribute to technical discussions and architectural decisions within the team</li><li>Take part in code reviews to maintain quality and share knowledge</li><li>Debug and resolve issues across the application stack</li><li>Work with the Product Owner and team to refine requirements and turn them into working software</li><li>Participate in agile ceremonies sprint planning, daily stand-ups, and retrospectives</li><li>Contribute to continuous improvement of our development processes and practices</li><li>Help support and maintain the production environment</li><li>Stay current with emerging technologies, with a particular focus on advances in AI</li></ul><p>2+ years of professional software development experience building secure, scalable applications in a fast-paced Agile environment</p><p>Strong proficiency in C# / VB.NET and the .NET stack, including .NET Core and ASP.NET (MVC / Web API)</p><p>Solid front-end skills across HTML, CSS, JavaScript and TypeScript</p><p>Experience coding responsive web applications for a range of devices and browsers</p><p>Strong relational database skills, particularly MS SQL Server and T-SQL, including schema design, data modelling, and query optimisation</p><p>Good understanding of application architecture and software design principles (SOLID, DRY, object-oriented design)</p><p>Understanding of security best practices in software development</p><p>Knowledge of RESTful API design and implementation, and service-based architecture</p><p>Experience with cloud platforms, preferably Microsoft Azure</p><p>Experience with version control systems</p><p>Understanding of CI/CD pipelines and DevOps practices</p><p>Ability to write automated tests (unit, integration, etc.)</p><p>Experience using Claude Code and/or other AI coding tools (e.g. Cursor, GitHub Copilot) as part of day-to-day development</p><p>Experience using agentic AI software development lifecycles and workflows</p><p>Ability to translate requirements from meetings and conversations into user stories or technical specs</p><p><strong>Working AI-Native</strong></p><p>AI is central to how we build, not an afterthought. This role calls for someone who is AI-native: you already reach for AI to accelerate your work, and you re excited to help embed AI deeper into both our development process and our product. We ll explore your AI fluency in the interview, so be ready to talk through and show how you work.</p><p>What AI-native means to us:</p><ul><li>You use AI coding tools such as Claude Code, Cursor, or GitHub Copilot as a natural, daily part of how you write, review, test, and ship code</li><li>You have experience with agentic AI software development lifecycles and workflows directing AI agents to plan, build, and iterate on real work, rather than using AI only for autocomplete or to answer one-off questions and queries</li><li>You know how to prompt, steer, and critically review AI output, keeping quality and security high rather than blindly accepting suggestions</li><li>You re keen to help design and build AI-powered features into the Flexigrant platform</li><li>You stay on top of a fast-moving field, continually adopting new tools and techniques that make you and the team more effective</li></ul><p>The bar here is high: we re looking for someone at least as AI-native as our strongest engineers, and ideally someone who can raise it further.</p><p><strong>Personal Characteristics</strong></p><ul><li>Strong problem-solving skills with attention to detail</li><li>Excellent written and verbal communication, able to be clear, concise, and accurate with both technical and non-technical audiences</li><li>Self-motivated, with the ability to work independently when needed</li><li>Collaborative team player who thrives in cross-functional environments</li><li>Genuine passion for learning and staying current with technology, especially AI</li><li>Pragmatic approach to development, with a focus on delivering value</li><li>Resilience and adaptability when facing technical challenges</li><li>Customer-focused mindset that considers end-user impact</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>2+ years of professional software development experience building secure, scalable applications in a fast-paced Agile environment</li><li>Strong proficiency in C# / VB.NET and the .NET stack, including .NET Core and ASP.NET (MVC / Web API)</li><li>Solid front-end skills across HTML, CSS, JavaScript and TypeScript</li><li>Experience coding responsive web applications for a range of devices and browsers</li><li>Strong relational database skills, particularly MS SQL Server and T-SQL, including schema design, data modelling, and query optimisation</li><li>Good understanding of application architecture and software design principles (SOLID, DRY, object-oriented design)</li><li>Understanding of security best practices in software development</li><li>Knowledge of RESTful API design and implementation, and service-based architecture</li><li>Experience with cloud platforms, preferably Microsoft Azure</li><li>Experience with version control systems</li><li>Understanding of CI/CD pipelines and DevOps practices</li><li>Ability to write automated tests (unit, integration, etc.)</li><li>Experience using Claude Code and/or other AI coding tools (e.g. Cursor, GitHub Copilot) as part of day-to-day development</li><li>Experience using agentic AI software development lifecycles and workflows</li><li>Ability to translate requirements from meetings and conversations into user stories or technical specs</li><li><strong>Working AI-Native</strong>: AI is central to how we build, not an afterthought. This role calls for someone who is AI-native: you already reach for AI to accelerate your work, and you re excited to help embed AI deeper into both our development process and our product. We ll explore your AI fluency in the interview, so be ready to talk through and show how you work.</li><li>What AI-native means to us:</li><ul><li>You use AI coding tools such as Claude Code, Cursor, or GitHub Copilot as a natural, daily part of how you write, review, test, and ship code</li><li>You have experience with agentic AI software development lifecycles and workflows directing AI agents to plan, build, and iterate on real work, rather than using AI only for autocomplete or to answer one-off questions and queries</li><li>You know how to prompt, steer, and critically review AI output, keeping quality and security high rather than blindly accepting suggestions</li><li>You re keen to help design and build AI-powered features into the Flexigrant platform</li><li>You stay on top of a fast-moving field, continually adopting new tools and techniques that make you and the team more effective</li></ul><li>The bar here is high: we re looking for someone at least as AI-native as our strongest engineers, and ideally someone who can raise it further.</li><li><strong>Personal Characteristics</strong></li><ul><li>Strong problem-solving skills with attention to detail</li><li>Excellent written and verbal communication, able to be clear, concise, and accurate with both technical and non-technical audiences</li><li>Self-motivated, with the ability to work independently when needed</li><li>Collaborative team player who thrives in cross-functional environments</li><li>Genuine passion for learning and staying current with technology, especially AI</li><li>Pragmatic approach to development, with a focus on delivering value</li><li>Resilience and adaptability when facing technical challenges</li><li>Customer-focused mindset that considers end-user impact</li></ul></ul>