Job Purpose:

- To design and maintain batch data pipelines, drive data strategy, and enhance data architecture & best practices.

- This role requires deep expertise in core banking, retail, digital, marketing, risk, and compliance systems across multiple regions (UAE, Egypt, Pakistan, etc.

- The function spans Enterprise Data Lake, Azure Data Lake, BI, Advanced Analytics, and Real-time Streaming platforms.

- Responsibilities include developing on-prem & cloud data solutions, managing change releases & resources, and delivering critical data insights for strategic decision-making, regulatory compliance, and operational efficiency.

Key result Areas:

- Data Engineering & Architecture: Design, develop, and maintain scalable real-time & batch data pipelines to support increasing data demands.

- Data Domains & Governance: Establish data domains across banking products and lay the foundation for Data Mesh architecture while ensuring data security, governance, and compliance.

- Data Platform Management: Oversee ETL processes, data modelling, integration, orchestration, and automation for seamless data operations.

- Collaboration & Business Alignment: Work with analysts, data scientists, and business teams to improve data models, enhance accessibility, and enable data-driven decision-making.

- Production Support & Monitoring: Provide L2/L3 support, debug data issues, and ensure high availability & quality of production data.

- Risk & Compliance: Implement risk controls, audit reviews, RCSA, and maintain compliance with data privacy regulations through access controls, encryption, and masking.

- Performance Optimization & Scalability: Identify and mitigate bottlenecks, forecast storage & processing needs, and ensure a scalable data infrastructure.

- Incident & Change Management: Coordinate with incident teams, change management boards, and vendors to ensure timely resolutions, approvals, and production deployments.

- Innovation & Best Practices: Stay updated on industry trends, implement emerging technologies, and continuously improve data engineering processes.

Knowledge, Skills and Experience:

- Data Engineering & Architecture: Design, develop, and maintain scalable real-time & batch data pipelines to support increasing data demands.

- Data Domains & Governance: Establish data domains across banking products and lay the foundation for Data Mesh architecture while ensuring data security, governance, and compliance.

- Data Platform Management: Oversee ETL processes, data modelling, integration, orchestration, and automation for seamless data operations.

- Collaboration & Business Alignment: Work with analysts, data scientists, and business teams to improve data models, enhance accessibility, and enable data-driven decision-making.

- Production Support & Monitoring: Provide L2/L3 support, debug data issues, and ensure high availability & quality of production data.

- Risk & Compliance: Implement risk controls, audit reviews, RCSA, and maintain compliance with data privacy regulations through access controls, encryption, and masking.

- Performance Optimization & Scalability: Identify and mitigate bottlenecks, forecast storage & processing needs, and ensure a scalable data infrastructure.

- Incident & Change Management: Coordinate with incident teams, change management boards, and vendors to ensure timely resolutions, approvals, and production deployments.

- Innovation & Best Practices: Stay updated on industry trends, implement emerging technologies, and continuously improve data engineering processes.