شرح موقعیت
Senior Manager - Data Engineering is responsible for leading the hands-on design and delivery of enterprise data products, transforming raw Bronze-layer data into cleansed, conformed Silver and Gold-layer datamarts that the ML and AI teams consume 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 actionable business intelligence. Job Overview: Data Product & Datamart Delivery: Lead end-to-end delivery of data products, taking raw Bronze-layer data through cleansed, conformed Silver layers into Gold-layer datamarts consumed by ML and AI teams. Advanced SQL & Python Engineering: Build and optimise complex SQL on Amazon Redshift and Microsoft SQL Server (stored procedures, views, materialized views, functions) and Python pipelines, with strong performance tuning. ML & AI Enablement: Deliver Gold-layer datasets that enable ML and AI product development and use ML outputs to create business intelligence for Corporate and SME Banking. Data Modelling & Design: Design Silver and Gold data models using dimensional modelling, star schemas and slowly changing dimensions across multiple enterprise data sources. Platform & Cross-functional Collaboration: 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). Data Quality, Governance & Controls: Embed data quality checks, lineage, access controls and monitoring in line with ADCB data governance standards and CBUAE regulatory requirements. Technical Leadership & Mentoring: Provide technical leadership to the squad, review code, set engineering standards and mentor data engineers, supervising up to two engineers where required. Required: 10+ years of experience in data engineering and data warehousing. Extensive experience in banking, working with Corporate Banking and SME Banking data. Hands-on experience with AWS and Amazon Redshift. 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 related discipline. AWS Certification (Data Engineer or Solutions Architect) preferred. Desired Skills and Experience