Senior Manager, Data Engineering

About the role

The Senior Manager, Data Engineering leads the hands-on design and delivery of enterprise data products, turning raw Bronze-layer data into cleansed, conformed Silver and Gold-layer datamarts used by ML and AI teams to build AI products. The role works closely with Data Platforms, Data Science and business stakeholders across Corporate and SME Banking to deliver high-quality, governed and performant data assets, and uses ML outputs to create business intelligence.

Key responsibilities

• Lead end-to-end delivery of data products, moving raw Bronze-layer data through Silver layers to Gold-layer datamarts consumed by ML and AI teams.
• Build and optimise complex SQL on Amazon Redshift and Microsoft SQL Server (stored procedures, views, materialised views, functions) and Python pipelines, with strong performance tuning.
• Design Silver and Gold data models using dimensional modelling, star schemas and slowly changing dimensions across multiple enterprise data sources.
• Partner with Data Platforms, Architecture and Data Science teams to build scalable data products on AWS (S3, Glue, Lambda, Step Functions, Athena, Lake Formation, SageMaker).
• Embed data quality checks, lineage, access controls and monitoring in line with ADCB data governance standards and CBUAE regulatory requirements.
• Provide technical leadership to the squad, review code, set engineering standards and mentor data engineers, supervising up to two engineers where required.

Required profile

• 10+ years of experience in data engineering and data warehousing.
• Extensive experience in banking, working with Corporate Banking and SME Banking data.
• Experience delivering medallion-based data products and datamarts for ML and AI consumption.
• Experience leading technical delivery and mentoring data engineers.
• Bachelor's degree in Computer Science, Engineering, Information Technology or a related discipline.

Required skills

• Hands-on experience with AWS and Amazon Redshift.
• AWS certification (Data Engineer or Solutions Architect) preferred.