Database Developer Jobs

<p>The role of this position is to maintain and develop the banking software environment by implementing new modules, developing or implementing software applications, providing the needed assistance and training to the end users and assist in IT projects.</p><p>Principal Accountabilities:</p><ul><li>Analyze, design and develop queries on the Bank system as well as other reports and statistics</li><li>Conduct program development on the Bank system and PCs</li><li>Provide technical support of users in software issues related to the Bank system and internally developed applications</li><li>Analyze, test and implement new or modified modules</li><li>Implement software applications in line with the bank s strategy and objectives</li><li>Participate in departmental projects at the request of the Acting IT Manager</li><li>Process personal data in compliance with applicable data protection legislation, the Data Protection Policy of the Bank as well as any other guidelines adopted by the bank in this regard from time to time.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>Qualifications and technical skills:</p><ul><li>1-2 years of experience</li><li>Asp .net (vb or csharp)</li><li>API</li><li>SQL server</li><li>Reporting tools (e.g. Tableau, SQL server BI, Crystal Report, Power BI Report Server)</li><li>Python is a plus</li><li>AI Agent is a plus</li></ul>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><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>This role sits at the center of that buildout. You'll ship near-term product features while helping us make the right architectural decisions for what's coming. We need someone who can execute and see around corners someone who understands both the product experience and the platform mechanics underneath it.</p><p>Key Responsibilities</p><ul><li>Build and ship AI features within the Ad Orbit product using our PHP/MySQL/React/Node stack with OpenAI API integration.</li><li>Extend Astro Core chatbot capabilities new read/write actions, graph generation, analysis outputs.</li><li>Help improve the external MCP connector schema, authentication, capability surface.</li><li>Own prompt engineering for product features: design, test, iterate, and document prompts as first-class product artifacts.</li><li>Build the token metering and usage tracking layer per-feature, per-customer, per-tier.</li><li>Design and implement guardrails, access controls, and rate limiting across the Astro AI platform layer.</li><li>Contribute to agent architecture decisions: tool access, memory design, token pool isolation, training data boundaries.</li><li>Monitor AI feature performance in production latency, cost, output quality, failure modes and drive improvements.</li><li>Stay current on the AI tooling landscape and bring concrete recommendations to the team.</li></ul><p>AI Product Development</p><ul><li>Hands-on experience integrating LLM APIs (OpenAI, Anthropic, or similar) into production applications used by real customers.</li><li>Prompt engineering fluency: system prompts, few-shot examples, structured outputs, tool/function calling, chain-of-thought patterns.</li><li>Understanding of token economics: cost per call, context management, model selection tradeoffs across feature types.</li><li>Experience building quality evaluation and output validation frameworks around AI features.</li><li>Awareness of AI-specific risks: hallucination, prompt injection, data leakage, output inconsistency.</li></ul><p>Platform &amp; Architecture Thinking</p><ul><li>Experience designing or contributing to metered usage systems API rate limiting, consumption tracking, billing integration.</li><li>Familiarity with designing MCP (Model Context Protocol) understanding of how LLM-native integrations differ from traditional REST.</li><li>Ability to reason about multi-tenant access controls: how AI features should behave differently across customer tiers.</li><li>Understanding of agent architecture patterns: tool registries, memory types, token pool management, task delegation.</li></ul><p>Core Stack</p><ul><li>React and Node: able to build frontend components that surface AI features, including data visualizations.</li><li>Solid PHP development experience comfortable extending a production codebase, not just greenfield.</li><li>MySQL: schema design, query optimization, and data modeling for AI feature state and usage tracking.</li><li>Typescript: used on the backend of the MCP layer</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in computer science, Information Systems, Engineering or a related field.</li><li>3+ years of experience in consulting, digital transformation, enterprise software implementation, or AI-related projects.</li><li>Strong understanding of Artificial Intelligence, Machine Learning, Generative AI, and automation concepts.</li><li>Strong presentation, communication, and stakeholder management skills.</li><li>Experience working directly with customers and senior business stakeholders.</li><li>Excellent problem-solving and analytical skills.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are looking for back end and front end senior and junior AI developers to form a team that will help develop AI solutions for our company. We plan to incorporate AI in our daily business to help our teams to expedite work and produce better quality documents.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>A relevant college degree is required.</p><p>Minimum two years of experience in developing AI solutions is required for senior developers.</p><p>Knowledge of Microsoft Ecosystem is a plus.</p><p></p></section>

<p>Aspire Software is looking for an experienced AI Engineer with strong .NET development skills to lead and deliver the company's AI initiatives while taking hands-on technical ownership of a broad portfolio of API services and web applications. The role will identify, evaluate and implement practical uses of AI across our products, internal operations and software-development processes. A key objective will be to use AI-assisted development tools to design, build, test and deliver applications at a faster pace while maintaining high standards of quality, security, performance and maintainability. This is also a hands-on .NET development role supporting our hospitality technology products,including Property Management Systems, Trust Accounting solutions, channel-manager connectivity and other third-party integrations. The successful candidate must be able to work independently, take ownership of business-critical applications and establish the company's practical approach to adopting and governing AI.</p><p><strong>Desired Candidate Profile</strong></p>We are looking for an experienced AI Engineer with strong .NET development skills to lead and deliver the company's AI initiatives while taking hands-on technical ownership of a broad portfolio of API services and web applications. The role will identify, evaluate and implement practical uses of AI across our products, internal operations and software-development processes. A key objective will be to use AI-assisted development tools to design, build, test and deliver applications at a faster pace while maintaining high standards of quality, security, performance and maintainability. This is also a hands-on .NET development role supporting our hospitality technology products,including Property Management Systems, Trust Accounting solutions, channel-manager connectivity and other third-party integrations. The successful candidate must be able to work independently, take ownership of business-critical applications and establish the company's practical approach to adopting and governing AI.

<p>A company in Fanar is hiring:</p><p>Immediate Hiring</p><p><strong>Data Entry Officer</strong></p><p>A <strong>Data Entry Officer</strong> is responsible for inputting, updating, and maintaining company data accurately in databases.</p><p><strong>Main Duties:</strong></p><ul><li><strong>Enter Data</strong> from documents, PDFs, emails into systems with 99%+ accuracy</li><li><strong>Verify &amp; Correct</strong> errors, duplicates, and inconsistencies</li><li><strong>Maintain Records</strong> and organize digital/physical files</li><li><strong>Generate Reports</strong></li><li><strong>Ensure Confidentiality</strong> of all company and client information</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>High School Diploma + 1-2 years</li><li>Proficient in MS Excel, Google Sheets, Word</li><li>Strong attention to detail + Good Arabic/English</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>The role of this position is to maintain and develop the banking software environment by implementing new modules, developing or implementing software applications, providing the needed assistance and training to the end users and assist in IT projects.</p><br><br><br><p>Principal Accountabilities:</p><br><br><br><p>Ø Analyze, design and develop queries on the Bank system as well as other reports and statistics</p><br><br><p>Ø Conduct program development on the Bank system and PCs</p><br><br><p>Ø Provide technical support of users in software issues related to the Bank system and internally developed applications</p><br><br><p>Ø Analyze, test and implement new or modified modules</p><br><br><p>Ø Implement software applications in line with the bank's strategy and objectives</p><br><br><p>Ø Participate in departmental projects at the request of the Acting IT Manager</p><br><br><br><p>Process personal data in compliance with applicable data protection legislation, the Data Protection Policy of the Bank as well as any other guidelines adopted by the bank in this regard from time to time.</p><br><br><br><p>Qualifications and technical skills:</p><br><br><br><p>Ø 1-2 years of experience</p><br><br><p>Ø Asp .net (vb or csharp)</p><br><br><p>Ø API</p><br><br><p>Ø SQL server</p><br><br><p>Ø Reporting tools (e.g. Tableau, SQL server BI, Crystal Report, Power BI Report Server)</p><br><br><p>Ø Python is a plus</p><br><br><p>Ø AI Agent is a plus</p><br><br> <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>About OLX Lebanon OLX Lebanon is the #1 marketplace for selling and buying online in Lebanon.<br> Our aim is to upgrade people’s lives by facilitating deals and identifying attractive opportunities for individuals and businesses.<br> Our broader vision is to strengthen local economies, empower small businesses and help everyone in making smarter choices for themselves, the market and the planet.<br> OLX Lebanon is proudly rooted in the local market while bringing global marketplace standards to our users.<br> Our team is driven by innovation, agility, and a deep understanding of the Lebanese consumer landscape.<br> We embrace a culture of ownership, creativity, and purpose—where every team member contributes to building smarter solutions that truly make a difference in people’s everyday lives.<br> About the role As a Data Engineer at OLX Lebanon, you will help own and evolve the company's modern data platform and ensure that trusted, timely data is available to the business.<br> You will work across the end-to-end data lifecycle: integrating operational and third-party sources, building and maintaining reliable data pipelines, modelling data for analytics, supporting business intelligence, and operating the platform in production.<br> The role is suited to an experienced engineer who can work independently and take meaningful ownership of a production data environment.<br> Own, operate, and continuously improve OLX Lebanon's production data platform and its core ingestion, transformation, and serving workflows.<br> Design, build, maintain, and troubleshoot reliable batch and incremental data pipelines from operational databases, APIs, cloud storage, and third-party systems.<br> Develop and maintain scalable warehouse models across raw, staging, intermediate, dimensional, and reporting layers.<br> Develop, optimize, and review SQL and Python used for ingestion, transformation, reconciliation, automation, and operational tooling.<br> Build and maintain transformation-as-code workflows using dbt or comparable modern data transformation frameworks.<br> Implement robust production patterns including idempotent processing, retries, schema evolution, scheduling/orchestration, monitoring, alerting, and failure recovery.<br> Ensure data quality and accuracy through automated tests, source-to-target reconciliation, freshness checks, and clear operational controls.<br> Own and support cloud data warehouse workloads, including performance, access, reliability, and cost optimisation.<br> Work with object storage and cloud services used for data ingestion and platform operations, particularly AWS/S3 and related services.<br> Support Power BI and the analytics layer by providing well-modelled, documented, performant datasets and by helping build or troubleshoot reports when required.<br> Partner closely with OLX Data Team as they own business requirements, metric interpretation, and an increasing share of Power BI dashboard development.<br> Collaborate with product, engineering, marketing, growth, finance, advertising, and other business teams through the analytics team where appropriate.<br> Apply strong software-engineering practices including Git-based version control, code review, testing, documentation, deployment discipline, and reusable design.<br> Maintain appropriate data access, privacy, security, and governance controls for sensitive and business-critical data.<br> Document pipelines, models, dependencies, operational procedures, and architecture so that the platform can be supported by more than one engineer.<br> A fast-paced, high-performing team.<br> Learning &amp; Development opportunities.<br> #LebanonOLX Hold a Bachelor’s degree in a relevant field or equivalent professional experience.<br> Approximately 4+ years of relevant data engineering experience for mid-senior candidates; Senior candidates should demonstrate deeper independent ownership rather than relying on years alone.<br> Hands-on experience building and operating production ETL/ELT pipelines and cloud-based analytical data platforms.<br> Strong experience with at least one modern cloud data warehouse or lakehouse platform such as Snowflake, Amazon Redshift, Azure Synapse, Google BigQuery, Databricks, or equivalent.<br> Strong hands-on SQL and Python experience.<br> Familiar with dimensional modelling, analytical warehouse design, and working with large-scale datasets.<br> Understanding of dbt is strongly preferred; equivalent transformation-as-code approaches or strong SQL modelling understanding is acceptable.<br> Understanding of cloud infrastructure and object storage concepts.<br> Comfortable with BI and analytics workflows; familiarity with Power BI is a plus.<br> Excellent SQL and strong Python engineering skills.<br> Ability to diagnose production data issues independently across ingestion, transformation, warehouse, and BI layers.<br> Strong Git, code review, testing, documentation, and software-engineering practices.<br> Ability to balance reliability, performance, maintainability, and cloud cost.<br> Ability to communicate technical issues clearly to analysts, engineers, managers, and non-technical stakeholders.<br> Strong written and verbal English.<br> Show attention to detail, analytical thinking, and a continuous learning mindset.<br> Be driven, self-motivated, and able to handle pressure in a fast-paced environment.<br> Live the team values: Simpler.<br> Better. Faster.</span> </div>

<p><b>External mission</b>s</p><p>You will be working on all the steps of Data Management solutions implementation</p><p>You will take part in the design and the definition of the solutions’ architecture</p><p>You will implement the solution and define its operating rules</p><p>You will take part in creating models in collaboration with functional consultants</p><p>You will be in charge of suggesting, studying and validating technical solutions</p><p>You will assist the client in the set up and administration of the solution in its cloud or on-premises environment, while setting up methodologies and DEVOPS processes</p><p><br></p><p>R&amp;D and internal missions</p><p>You will take part in the design and development of software components that will be incremented into market tools</p><p>You will take part in technical knowledge capitalization (speed up development, improve maintainability, smoothen reuse)</p><p>You will have to test solutions from new software editors in new scopes in order to build up our new offers</p><p>Depending on your career path wishes and desires, you will have the opportunity to move towards a position of a confirmed technical data engineer.</p><p>We guarantee a team development process and the implementation of a personalized follow-up for your career progress. We will be keen to provide you with an appropriate framework to help you evolve with serenity.</p><p><br></p><p><b>Skills required</b></p><p><b>Development: g</b>ood grasp of JAVA/J2EE environments</p><p>Databases: SQL Server, Oracle, , PostgreSQL, Hadoop/Spark/Amazon EMR/ Dynamo DB</p><p>Methodology: continuous integration and release management in an iterative and agile way (Jira/Maven/Bamboo/TFS/Jenkins)</p><p>A previous experience related to one of our offers (MDM, Meta data, Data Integration and Data Preparation) would be a great advantage</p><p><b>Required profile</b></p><p>Master’s degree or equivalent</p><p>Freshly graduated with good knowledge in these fields: (or looking for a paid internship or an end of year project)</p><p>A previous experience related to one of our offers (MDM, Meta data, Data Integration and Data Preparation) would be a great advantage</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Job Overview The Data Quality Engineer will ensure the accuracy, consistency, and reliability of data across the Microsoft Fabric Data Warehouse, its integrations, and connected services. The role focuses on testing and validating data pipelines, event-driven processes, and Azure-based integrations such as Logic Apps and Service Bus. The engineer will collaborate closely with data engineers, architects, and business units to maintain high-quality, trustworthy data for analytics and reporting. Key Responsibilities Design, develop, and execute data quality and validation tests for Microsoft Fabric Data Warehouse objects (tables, views, semantic models). Validate ETL/ELT pipelines, including Fabric Dataflows and integrated source systems, for accuracy and completeness. Test and monitor event-driven data processes, including Azure Service Bus messages, queues, and topics. Validate Azure Logic Apps workflows and integrations that move or transform data between systems. Perform end-to-end testing of data ingestion, transformations, and delivery to downstream consumers or BI systems. Develop and maintain automated data quality checks, reconciliation scripts, and test frameworks. Identify, analyze, and report data quality issues, including root cause analysis and impact assessment. Collaborate with Data Engineers, BI teams, and business units to define data quality rules, metrics, and acceptance criteria. Monitor data quality KPIs, implement controls to prevent defects, and ensure reliability in production pipelines. Document test cases, workflows, data quality rules, and testing outcomes clearly for technical and business stakeholders. Familiarity with unit testing, automated data validation, and integration testing tools such as dbt, Great Expectations, tSQLt, pytest, Azure Logic Apps testing, and Service Bus testing scripts. Perform unit testing and validation of Azure Logic Apps workflows and Service Bus message flows. Develop and maintain automated data quality checks and integration tests using tools such as dbt, Great Expectations, or custom scripts. Validate and test API endpoints and integration workflows using tools such as Postman to ensure data is accurately transmitted between systems. Perform end-to-end testing of event-driven processes and service integrations using Postman and automated scripts.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>We are looking for entrepreneurs, techies, passionate, eager to learn, humble, with a positive attitude and a high level of integrity People. Flexible and willing to take challenges, work and live in coffee-producing countries, People who want to build expertise and a career in the coffee business and are ready to go the extra mile.</p><p>Required Skills &amp; Qualifications</p><ul><li>Strong experience in data quality testing and validation for data warehouses or large-scale analytics platforms.</li><li>Hands-on experience with Microsoft Fabric (Data Warehouse, Lakehouse, Pipelines, Dataflows).</li><li>Proficiency in SQL and experience validating ETL/ELT pipelines.</li><li>Experience with event-driven architectures and Azure integrations: Azure Service Bus (queues, topics, subscriptions) Azure Logic Apps for workflow automation</li><li>Experience testing data integrations across multiple source systems.</li><li>Familiarity with data quality concepts: completeness, accuracy, consistency, timeliness, uniqueness.</li><li>Experience with automation and scripting (Python, PySpark, PowerShell).</li><li>Understanding of data modeling concepts: star schema, snowflake, fact and dimension tables.</li><li>Strong analytical, problem-solving, and troubleshooting skills.</li><li>Excellent documentation and communication skills.</li><li>Familiarity with unit testing, automated data validation, and integration testing tools such as dbt, Great Expectations, tSQLt, pytest, Postman, Azure Logic Apps testing, and Service Bus testing scripts .</li></ul><p>Preferred / Nice to Have:</p><ul><li>Experience with data quality frameworks (e.g., Great Expectations).</li><li>Knowledge of Azure Data Factory, Synapse Analytics, and OneLake.</li><li>Familiarity with CI/CD pipelines for data platforms.</li><li>Understanding of data governance, metadata management, and auditing standards.</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> About the job Data Security &amp; Compliance Team Lead <p><strong>Company Overview:</strong></p><br> <p>Our client is a global Microsoft Cloud Solutions Partner delivering digital transformation, cybersecurity, data and managed services. The group is headquartered across the UAE (Dubai), with its largest and most technical team based in Lebanon, operations established in London over the past two years, and early-stage market entry underway in the US.</p><br> <p><strong>Job Summary:</strong> </p><br> <p>Our client is&nbsp;seeking a skilled Data Security &amp; Compliance Specialist to lead the implementation of data security, classification, retention, and governance policies using Microsoft Purview for customers across the MEA region. The ideal candidate will have at least 4 years of focused experience in the data security field, including a minimum of 2 years of hands-on experience with Microsoft Purview, specifically in Data Loss Prevention, Data Classification, Cloud Access Security Broker, and governance capabilities such as retention policies, Insider Risk Management, and Records Management.   </p><br> <p>This role involves overseeing at least one team member, with potential for expanded leadership responsibilities. Strong expertise in Microsoft Purview is required, and experience with third-party data security solutions is highly valued, making this an excellent opportunity for professionals with a diverse security background. Familiarity with MDM &amp; MAM solutions, particularly Microsoft Intune, as well as conditional access policies is a plus. This position offers a dynamic environment with opportunities for growth and leadership in the data security domain. </p><br> <p><strong>Key Responsibilities</strong>:</p><br> <p><strong>1. Data Security &amp; Governance Implementation:</strong></p><br> <ul><li> Design, implement, and optimize data security solutions using Microsoft Purview or other leading DLP and data governance tools.</li><li>Develop and enforce DLP, Insider Risk Management, DSPM for AI and CASB policies to prevent unauthorized data access and ensure compliance.</li><li>Implement data classification and labelling strategies to enhance data protection.</li><li>Define and manage data retention policies in alignment with regulatory and business requirements.</li><li>Deploy and manage AIP on-premises scanner to classify and protect on-premises data.</li><li>Integrate CASB with on-premises firewalls to strengthen security controls and enhance visibility into both cloud and on-premises environments.</li><li>Lead the implementation and configuration of Microsoft Priva and Microsoft Purview Data Map.</li><li>Ensure compliance with industry regulations such as GDPR, NCA, and ISO 27001.</li><li>Support Data Security Posture Management (DSPM) initiatives by assessing risks, monitoring data flows, and optimizing security policies to enhance data visibility, governance, and protection.</li><li>Build templates and automation for Data Security &amp; Governance Implementation, ensuring consistency and efficiency in deployments.</li><li>Automate policy deployments and security configurations using available methods such as PowerShell, APIs, and Microsoft Security &amp; Compliance tools.</li><li>Deploy MDM, MAM, and Conditional Access policies to address security gaps and enhance access controls.</li><li>Oversee the implementation of security-related projects, from initial scoping to post-deployment support, ensuring timely and budget-compliant execution.</li><li>Develop High-Level Designs (HLD) and Low-Level Designs (LLD) for project implementation, assess customer environments, and create RFIs and IRLs as needed.</li></ul> <p><strong>2. Monitoring, Incident Response, and Optimization:</strong></p><br> <ul><li> Monitor and respond to data security incidents, ensuring proper investigation and resolution.</li><li>Analyze data security risks and implement best practices to mitigate threats.</li><li>Optimize security policies and controls based on evolving business needs.</li></ul> <p><strong>3. Team Supervision &amp; Cross-Functional Collaboration:</strong></p><br> <ul><li> Supervise at least two team members, with potential for increased leadership responsibilities.</li><li>Work closely with cross-functional teams and customers to align security policies with business objectives and ensure seamless implementation.</li><li>Collaborate with stakeholders to continuously enhance security posture and governance policies in response to evolving business needs.</li><li>Deliver end-user and administrator workshops to ensure proper understanding and adoption of data security, classification, governance policies, and compliance tools.</li></ul> <p><strong>4. Documentation &amp; Project Support:</strong></p><br> <ul><li> Contribute to Scope of Work (SOW) and project scoping, defining clear deliverables and implementation roadmaps.</li><li>Develop and maintain implementation documentation, end-user guides, and administrative manuals to support technology adoption.</li><li>Ensure the availability and functionality of a technical test environment for internal testing and experimentation with new technologies, coordinating maintenance, updates, and enhancements as needed.</li></ul> <p><strong>Qualifications &amp; Experience:</strong></p><br> <p><strong>Education:</strong></p><br> <ul><li> Bachelor's degree in computer science, Information Technology, Cybersecurity, or a related field. </li></ul> <p><strong>Experience:</strong></p><br> <ul><li> Minimum of 4 years of experience in implementing data security, compliance, and governance solutions, with a strong focus on Microsoft Purview.</li><li>At least 2 years in a supervisory role, overseeing the implementation and delivery of data protection and compliance initiatives.</li><li>Hands-on experience implementing Microsoft Purview Information Protection solutions, including DLP, data classification, retention policies, and regulatory compliance.</li><li>Experience implementing data governance, risk management, and regulatory compliance requirements aligned with frameworks such as GDPR, NCA, and ISO 27001.</li><li>Extensive experience working with Microsoft Purview Compliance Portal, Insider Risk Management, eDiscovery, and Audit.</li><li>Experience with Microsoft Purview Data Loss Prevention (DLP) policies across Microsoft 365 services, including Teams, SharePoint, OneDrive, and Exchange Online.</li><li>Strong understanding of Microsoft Information Protection (MIP)for labeling, encryption, and rights management.</li><li>Familiarity with Microsoft Defender for Cloud Apps for data security monitoring and threat detection.</li><li>Knowledge of Microsoft Intune for Mobile Device Management (MDM) &amp; Mobile Application Management (MAM)and how it integrates with Conditional Access policies for secure access control.</li><li>Ability to effectively communicate data protection strategies, compliance requirements, and risk management policies to both technical and non-technical stakeholders.</li></ul> <p><strong>Certifications</strong>:</p><br> <p><strong>Required Certifications:</strong></p><br> <ul><li> GIAC Certified Data Protection or an equivalent certification.</li><li>Vendor certifications in DLP, Data Classification, Litigation Holds, or governance tools.</li><li>Preferred Certifications as below:</li><li>Microsoft Certified: Information Protection Administrator Associate (SC-400)</li><li>Cybersecurity Architect Expert (SC-100)</li></ul> <p><strong>Skills:</strong></p><br> <ul><li> Strong leadership and team management capabilities.</li><li>Excellent project management skills.</li><li>Knowledge in security solution design and architecture.</li><li>Proficiency in data security tools such as DLP, Data Classification, and CASB.</li><li>Strong analytical and problem-solving abilities, with attention to detail and the ability to work under pressure.</li><li>Effective communication and customer engagement skills.</li><li>Thorough understanding of quality assurance practices and methodologies.</li><li>Hands-on experience in implementing Microsoft Purview solutions.</li><li>Proven experience in configuring and troubleshooting security solutions.</li><li>Commitment to staying updated with emerging data security trends, risks, technologies, and best practices to enhance protection and compliance.</li></ul> <br> <br> </div>

<p>Join our team as a Data Analyst/Scientist to turn complex datasets into clear, actionable insights that drive measurable business improvements. You'll partner with stakeholders to design analyses, build predictive models, and deliver automated reporting that supports day-to-day and strategic decision-making.</p><p>Job Purpose The purpose of this role is to analyze data, build reliable data pipelines and predictive models, and communicate results through dashboards and stakeholder-ready reporting improving KPIs through data-driven recommendations with measurable impact.</p><p>Job Duties and Responsibilities</p><ul><li>SQL</li><li>Python (pandas, scikit-learn)</li><li>Data visualization (Tableau/Power BI)</li><li>ETL data pipelines</li><li>Statistics and experimentation (A/B testing)</li><li>Analytical thinking</li><li>Problem-solving</li><li>Attention to detail</li><li>Ownership and continuous improvement</li><li>Stakeholder communication</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>SQL</li><li>Python (pandas, scikit-learn)</li><li>Data visualization (Tableau/Power BI)</li><li>Statistics and experimentation (A/B testing)</li><li>ETL data pipelines</li><li>Analytical thinking</li><li>Problem-solving</li><li>Stakeholder communication</li><li>Attention to detail</li><li>Ownership and continuous improvement</li></ul>

We are looking for an experienced and detail-oriented Data Analyst to join our team in Dora. The successful candidate will be responsible for analyzing business data, preparing reports, identifying trends, and providing actionable insights to support better decision-making across the company. <br> <br>Key Responsibilities <br>Collect, clean, validate, and analyze data from various sources. <br>Prepare accurate and timely reports, dashboards, and performance analyses. <br>Identify trends, patterns, and opportunities through data analysis. <br>Monitor key performance indicators (KPIs) and provide regular updates to management. <br>Work closely with different departments to understand their data and reporting needs. <br>Translate business requirements into meaningful analytical reports and insights. <br>Ensure data accuracy, consistency, and integrity. <br>Automate and improve existing reporting and data-analysis processes. <br>Present findings and recommendations clearly to both technical and non-technical stakeholders. <br>Requirements <br>Bachelor’s degree in Data Analytics, Business, Statistics, Computer Science, Mathematics, Economics, or a related field. <br>2+ years of proven experience as a Data Analyst or in a similar analytical role. <br>Strong proficiency in Microsoft Excel, including PivotTables, formulas, and data analysis. <br>Experience with SQL and databases. <br>Experience with data visualization tools such as Power BI, Tableau, or similar is an advantage. <br>Strong analytical and problem-solving skills. <br>Excellent attention to detail and accuracy. <br>Ability to communicate complex data clearly and effectively. <br>Ability to manage multiple priorities and meet deadlines. <br>Fluency in English; Arabic is a plus

• Analyze large volumes of trading, financial, and operational data. <br>• Prepare, maintain, and improve Excel-based reports, analysis, and dashboards. <br>• Monitor trading activity and identify trends, anomalies, discrepancies, and unusual patterns. <br>• Perform statistical and quantitative analysis to support trading and management decisions. <br>• Produce daily, weekly, and ad-hoc reports for the Trading Department and management. <br>• Validate data for accuracy, consistency, and completeness. <br>• Reconcile and investigate differences between datasets and trading records. <br>• Develop and improve spreadsheets, formulas, models, and analytical tools. <br>• Support traders and management with data-driven insights and analysis. <br>• Help automate repetitive reporting and data-analysis processes where possible. <br>• Work with multiple data sources and maintain accurate and reliable datasets. <br>• Assist with performance analysis and other quantitative projects within the trading environment. <br>• Respond quickly and accurately to ad-hoc analytical requests in a high-volume environment

<p>We are looking for a reliable and detail-oriented Data Operations Officer to join our team. The ideal candidate will be responsible for monitoring daily system operations, maintaining accurate data, generating reports, and ensuring data quality. This role requires strong analytical skills and the ability to work accurately in a fast-paced environment.</p><p><strong>Key Responsibilities</strong></p><ul><li>Monitor daily system activities and ensure data is accurate and up to date.</li><li>Review and validate data to identify and correct any discrepancies.</li><li>Generate daily and monthly operational reports.</li><li>Analyze data and provide insights to support business decisions.</li><li>Coordinate with different departments to resolve data-related issues.</li><li>Maintain data integrity and follow company data management procedures.</li><li>Assist in improving operational processes and reporting efficiency.</li><li>Perform other data-related tasks as assigned.</li></ul><p><strong>Desired Candidate Profile</strong></p><p><strong>Qualifications</strong></p><ul><li>Bachelor's degree in Accounting, Auditing, Business Administration, Management Information Systems (MIS), Data Analytics, or a related field.</li><li>1 3 years of experience or more in data operations, reporting, accounting, auditing, or a similar role.</li><li>Strong knowledge of Microsoft Excel.</li><li>Good analytical and problem-solving skills.</li><li>High attention to detail and accuracy.</li><li>Good communication and organizational skills.</li><li>Ability to manage multiple tasks and meet deadlines.</li></ul><p><strong>How to Apply</strong></p><p>If you are detail-oriented, enjoy working with data, and are passionate about improving operational efficiency, we encourage you to apply by submitting your CV &amp; Cover letter.</p>

Job Summary <br>We are looking for a reliable and detail-oriented Data Operations Officer to join our team. The ideal candidate will be responsible for monitoring daily system operations, maintaining accurate data, generating reports, and ensuring data quality. This role requires strong analytical skills and the ability to work accurately in a fast-paced environment. <br> <br> <br> <br>Key Responsibilities <br>Monitor daily system activities and ensure data is accurate and up to date. <br>Review and validate data to identify and correct any discrepancies. <br>Generate daily and monthly operational reports. <br>Analyze data and provide insights to support business decisions. <br>Coordinate with different departments to resolve data-related issues. <br>Maintain data integrity and follow company data management procedures. <br>Assist in improving operational processes and reporting efficiency. <br>Perform other data-related tasks as assigned. <br> <br> <br>Qualifications <br>Bachelor's degree in Accounting, Auditing, Business Administration, Management Information Systems (MIS), Data Analytics, or a related field. <br>1–3 years of experience or more in data operations, reporting, accounting, auditing, or a similar role. <br>Strong knowledge of Microsoft Excel. <br>Good analytical and problem-solving skills. <br>High attention to detail and accuracy. <br>Good communication and organizational skills. <br>Ability to manage multiple tasks and meet deadlines. <br> <br> <br>How to Apply <br>If you are detail-oriented, enjoy working with data, and are passionate about improving operational efficiency, we encourage you to apply by submitting your CV & Cover letter

Job Summary <br>We are looking for a reliable and detail-oriented Data Operations Officer to join our team. The ideal candidate will be responsible for monitoring daily system operations, maintaining accurate data, generating reports, and ensuring data quality. This role requires strong analytical skills and the ability to work accurately in a fast-paced environment. <br> <br> <br> <br>Key Responsibilities <br>Monitor daily system activities and ensure data is accurate and up to date. <br>Review and validate data to identify and correct any discrepancies. <br>Generate daily and monthly operational reports. <br>Analyze data and provide insights to support business decisions. <br>Coordinate with different departments to resolve data-related issues. <br>Maintain data integrity and follow company data management procedures. <br>Assist in improving operational processes and reporting efficiency. <br>Perform other data-related tasks as assigned. <br> <br> <br>Qualifications <br>Bachelor's degree in Accounting, Auditing, Business Administration, Management Information Systems (MIS), Data Analytics, or a related field. <br>1–3 years of experience or more in data operations, reporting, accounting, auditing, or a similar role. <br>Strong knowledge of Microsoft Excel. <br>Good analytical and problem-solving skills. <br>High attention to detail and accuracy. <br>Good communication and organizational skills. <br>Ability to manage multiple tasks and meet deadlines. <br> <br> <br>How to Apply? <br>If you are detail-oriented, enjoy working with data, and are passionate about improving operational efficiency, we encourage you to apply by submitting your CV & Cover letter

Job Summary <br>We are looking for a reliable and detail-oriented Data Operations Officer to join our team. The ideal candidate will be responsible for monitoring daily system operations, maintaining accurate data, generating reports, and ensuring data quality. This role requires strong analytical skills and the ability to work accurately in a fast-paced environment. <br> <br> <br> <br>Key Responsibilities <br>Monitor daily system activities and ensure data is accurate and up to date. <br>Review and validate data to identify and correct any discrepancies. <br>Generate daily and monthly operational reports. <br>Analyze data and provide insights to support business decisions. <br>Coordinate with different departments to resolve data-related issues. <br>Maintain data integrity and follow company data management procedures. <br>Assist in improving operational processes and reporting efficiency. <br>Perform other data-related tasks as assigned. <br> <br> <br>Qualifications <br>Bachelor's degree in Accounting, Auditing, Business Administration, Management Information Systems (MIS), Data Analytics, or a related field. <br>1–3 years of experience or more in data operations, reporting, accounting, auditing, or a similar role. <br>Strong knowledge of Microsoft Excel. <br>Good analytical and problem-solving skills. <br>High attention to detail and accuracy. <br>Good communication and organizational skills. <br>Ability to manage multiple tasks and meet deadlines. <br> <br> <br>How to Apply? <br> <br>If you are detail-oriented, enjoy working with data, and are passionate about improving operational efficiency, we encourage you to apply by submitting your CV & Cover letter

Key Requirements: <br> <br>Proven experience in data analysis and building detailed reports. <br>Strong proficiency in data visualization and handling large datasets. <br>Strong analytical and problem-solving skills

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Result of Service<br>1- Reviewed and improved solar PV datasets for all project countries. 2- Updated solar PV datasets and GIS layers that integrate additional socio-economic datasets. 3- Geospatial analytical products, including thematic maps, statistical summaries, dashboards, and spatial analyses. 4- Inputs into the existing toolkit and platform covering all data processing, validation methodologies, assumptions, statistical procedures, and GIS workflows. 5- Comprehensive final technical report and presentation summarizing the methodology applied, improvements made to the datasets, analytical findings, limitations, and recommendations for future updates.<br> Work Location<br>Remotely<br> Expected duration<br>2 months<br> Duties and Responsibilities<br>Background The United Nations Economic and Social Commission for Western Asia (ESCWA) is implementing a project on “Improved mapping and monitoring of solar energy access for enhanced climate policy action and socio-economic resilience in ESCWA member States”. The project aims to enhance the capacities of government officials and policymakers working in statistics, energy, and GIS-active research centres on using digital and geospatial tools to map and monitor solar energy data, review data snapshots and baselines, and generate KPIs to strengthen data-driven analysis and improve evidence-based policymaking for climate action and socio-economic resilience. Objective The GIS and renewable energy data analyst would review the existing data sets on detected solar photovoltaic (PV) systems in Djibouti, Jordan, Lebanon, Syria, and Yemen; apply statistical analysis methods to improve the accuracy of the data sets; and add socio-economic GIS layers to the existing data sets to strengthen data-driven analysis and improve evidence-based policymaking for climate action and socio-economic resilience. Duties and responsibilities Under the overall supervision of the Leader of the Climate Change and Natural Resources Sustainability Cluster, the analyst will report directly to the Project Coordinator and be responsible for the following overall duties linked to the outcomes and outputs of the project document, namely: a) Review and assess the existing geospatial datasets of detected solar PV systems in Djibouti, Jordan, Lebanon, Syria, and Yemen to identify inconsistencies, data gaps, duplicates, quality issues, and potential sources of uncertainty. b) Conduct a comprehensive review of the existing solar PV geospatial datasets, including an assessment of data quality, completeness, spatial accuracy, attribute consistency, metadata availability, and reliability. c) Prepare a comprehensive final technical report and presentation summarizing the methodology applied, improvements made to the datasets, analytical findings, limitations, and recommendations for future updates.<br> Qualifications/special skills<br>A master’s degree in statistics, mathematics, GIS or related field is required. A first-level university degree with two additional years of relevant work experience may be accepted in lieu of the advanced university degree. All candidates must submit a copy of the required educational degree. Incomplete applications will not be reviewed. A minimum of five years of experience working on data analytics related to energy or renewable energy is required. Demonstrated professional experience working on energy datasets is required.<br> Languages<br>English and French are the working languages of the United Nations Secretariat; and Arabic is a working language of ESCWA. For this position, fluency in English. Knowledge of Arabic is desirable. Note: "Fluency" equals a rating of 'fluent' in all four areas (speak, read, write, and understand) and "Knowledge of" equals a rating of 'confident' in two of the four areas.<br> Additional Information<br>Not available.<br> No Fee<br>THE UNITED NATIONS DOES NOT CHARGE A FEE AT ANY STAGE OF THE RECRUITMENT PROCESS (APPLICATION, INTERVIEW MEETING, PROCESSING, OR TRAINING). THE UNITED NATIONS DOES NOT CONCERN ITSELF WITH INFORMATION ON APPLICANTS’ BANK ACCOUNTS.<br><br><br> </div>

<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>