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Director, Data Engineering

Robert Walters
Abu Dhabi, UAE
Full-time
Director
Onsite
Discovered 4 days ago
Data engineering and data warehousingSQLPythonAmazon RedshiftAWSMicrosoft SQL Server

Full Job Posting

Role overview

Director leading the Data Enablement for AI data engineering squad.

Builds enterprise data products for ML and AI teams, with a strong focus on Corporate and SME Banking data.

The role remains hands-on in SQL and Python and owns the data mart and data product roadmap with Product Owners.

Responsibilities

  • Set data engineering standards, medallion design patterns, and delivery practices for scalable, reusable data products.
  • Design, build, and optimize complex SQL in Amazon Redshift and Microsoft SQL Server, including stored procedures, views, materialized views, and functions.
  • Build Python pipelines on AWS and deliver feature-ready datasets for ML and AI teams.
  • Use model outputs to create business intelligence for Corporate and SME Banking.
  • Define dimensional modelling standards, star schemas, SCDs, and conformed enterprise models.
  • Partner with Data Platforms and Architecture on AWS services, orchestration, and CI/CD.
  • Embed data quality checks, lineage, access controls, and documentation for governance and CBUAE compliance.
  • Lead, hire, and mentor the squad; conduct code reviews and drive delivery performance and agile practices.

Qualifications and experience

  • At least 15 years of data engineering and data warehousing experience.
  • Banking industry experience working with Corporate and SME Banking data.
  • Hands-on AWS and Amazon Redshift experience.
  • Proven experience leading a data engineering team or squad.
  • Experience delivering medallion-based data products and data marts for ML and AI consumption.
  • Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related discipline; a Master’s degree is preferred.
  • AWS Data Engineer or Solutions Architect certification is preferred.

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