Director, Data Engineering

About the role

The Director leads the data engineering squad in Data Enablement for AI, setting engineering and modelling standards and building enterprise data products consumed by ML and AI teams. The role stays hands-on in SQL and Python, owns the datamart and data product roadmap with Product Owners, partners with Data Platforms, Architecture, Data Science and Governance teams, and turns ML outputs into business intelligence, with a strong focus on Corporate and SME Banking data.

Key responsibilities

• Set data engineering standards, medallion design patterns and delivery practices that enable scalable, reusable data products across Group Digital & AI.
• Design, build and optimise complex SQL on Amazon Redshift and Microsoft SQL Server (stored procedures, views, materialised views, functions) and Python pipelines on AWS.
• Deliver feature-ready datasets for ML and AI teams and turn model outputs into business intelligence for Corporate and SME Banking.
• Define dimensional modelling standards (star schema, SCDs) and conformed enterprise models that integrate multiple data sources at enterprise function level.
• Partner with Data Platforms and Architecture teams on AWS services, orchestration and CI/CD to deliver performant, secure and cost-efficient data products.
• Embed data quality checks, lineage, access controls and documentation to meet data governance standards and CBUAE regulatory requirements.
• Lead, hire and mentor the data engineering squad, run code reviews, drive delivery performance and promote agile ways of working.

Required profile

• 15+ years of experience in Data Engineering and Data Warehousing.
• Solid industry experience in banking, working with Corporate and SME Banking data.
• Proven experience leading a data engineering team or squad.
• Bachelor's degree in Computer Science, Engineering, Information Technology or a related discipline; Master's degree preferred.

Required skills

• Hands-on experience with AWS and Amazon Redshift.
• Experience delivering medallion-based data products and datamarts for ML and AI consumption.
• AWS certification (Data Engineer or Solutions Architect) preferred.