Senior Data Engineer

We are seeking an experienced Senior Data Engineer to design, build, and maintain scalable, secure, and high-performance enterprise data solutions across Microsoft Data Technologies and Modern Lakehouse platforms. The role focuses on developing batch and real-time data pipelines, implementing data warehouse and lakehouse architectures, ensuring data quality and governance, and supporting analytics, reporting, AI, and machine learning initiatives. Requirements • Bachelor's degree or Diploma in Information Technology, Software Engineering, or related field. • Minimum 10 years of experience in Data Engineering, ETL/ELT development, and SQL-based data solutions. • Minimum 3 years of hands-on experience with Apache Spark or equivalent distributed processing platforms. • Proven experience supporting Enterprise Data Warehouses (DWH), Lakehouse platforms, Analytics, or AI environments. • Experience with Microsoft Data Platform technologies. • Experience with CI/CD, source control, automated testing, and deployment processes. • Experience with Power BI or other enterprise reporting platforms. • Microsoft SQL Server or relevant Data Engineering certifications are preferred. • Fluent in English and Arabic. Technical Skills Expert Level • ETL/ELT Design & Development • SSIS • Apache Spark • Microsoft SQL Server • Advanced T-SQL • Database Administration • SQL Performance Tuning Advanced to Expert • Data Warehouse & Lakehouse Architecture • Relational & Dimensional Data Modeling • Apache Iceberg • Data Governance & Data Quality Frameworks • Great Expectations • DataHub Advanced • Apache Airflow • Apache Flink • CDC & Incremental Processing • Apache NiFi • n8n • APIs & Webhooks • Trino • SSAS • Power BI • Apache Superset • MinIO • LakeFS • Apache Polaris • Apache Ranger • RBAC & Security Management Soft Skills • Strong problem-solving and root-cause analysis capabilities. • Ability to manage complex workloads and competing priorities. • Excellent stakeholder management and communication skills. • Business-oriented mindset with strong analytical thinking. • Team collaboration, mentoring, and knowledge-sharing abilities. • High attention to quality, governance, integrity, and confidentiality. Benefits Senior-level position reporting directly to the Head of Data & Analytics. Opportunity to work on enterprise-scale Data Warehouse and Lakehouse platforms. Exposure to modern Data Engineering ecosystem including: • Apache Spark • Apache Flink • Apache Airflow • Apache Iceberg • Trino • DataHub • Great Expectations Involvement in AI/ML enablement and advanced analytics initiatives. Opportunity to influence enterprise data architecture and governance practices. Cross-functional collaboration with Data, BI, Product, Infrastructure, and Business teams. Leadership and mentoring responsibilities. Exposure to cloud-native and modern data platform technologies.

Bachelor's degree or Diploma in Information Technology, Software Engineering, or related field. Minimum 10 years of experience in Data Engineering, ETL/ELT development, and SQL-based data solutions. Minimum 3 years of hands-on experience with Apache Spark or equivalent distributed processing platforms. Proven experience supporting Enterprise Data Warehouses (DWH), Lakehouse platforms, Analytics, or AI environments. Experience with Microsoft Data Platform technologies. Experience with CI/CD, source control, automated testing, and deployment processes. Experience with Power BI or other enterprise reporting platforms. Microsoft SQL Server or relevant Data Engineering certifications are preferred. Fluent in English and Arabic.