Data Engineer
Role details
Job location
Tech stack
Job description
We are seeking a detail-oriented senior data engineer to support the implementation of our Data and AI Governance initiatives that reports into the Enterprise Data and AI Services (EDAS) team. This role will play a key part in supporting the team of governance processes, audits, managing risks and ensuring data privacy in close collaboration with the Security, Legal and Privacy teams. The post holder will also contribute to the Implementation, integration, development and maintenance of relevant governance, MDM and lineage tools.
The ideal candidate will have a strong foundation in data engineering and report configurations in a modern landscape and a keen interest in expanding their expertise in governance, audit, and privacy. This role offers the opportunity to gain hands-on experience in applying policies, standards, and guidelines to ensure effective and compliant data and AI practices., As a Senior Data Engineer on the Governance Team, you will play a critical role in designing, implementing, and maintaining secure, compliant, and well-governed data systems. You'll collaborate across technical and non-technical teams to ensure data is managed responsibly throughout its lifecycle, aligned with regulatory standards and organizational policies.
Requirements
- Working knowledge of data architecture and implementation of governed data solutions using Microsoft Purview, Azure, Databricks, Python, DevOps, Unity Catalogue, Data Factory, and RDBMSs. Experience with metadata management, lineage tracking, and automation tools for governance workflows.
- Experience in designing and maintaining end-to-end data architectures, including OLTP and OLAP models, ETL pipelines, data lakes, orchestration frameworks, and reporting platforms. Exposure to CI/CD pipelines and monitoring practices in data engineering.
- Ability to apply best practices in data lifecycle management, covering ingestion, transformation, reporting, archival, and decommissioning. Familiarity with data quality frameworks and secure data handling protocols.
- Good understanding or strong interest in supporting data governance programs using frameworks like DAMA DMBOK and internal governance strategies. Experience implementing governance controls in regulated sectors such as banking, reinsurance, or insurance.
- Ability to ensure secure data management by applying information security principles and working with relevant technology stacks, including data encryption and key vault management. Strong understanding of data privacy regulations and international standards.
- Ability to collaborate on audit and risk management efforts, supporting governance tools (e.g., Microsoft Purview) and engaging stakeholders across legal, technology platform leads, compliance, and business units. Experience in cross-functional stakeholder engagement and risk mitigation planning.
- Experience in documenting 'as-is' data landscapes and governance processes in clear, accessible language for both technical and non-technical audiences. Strong technical writing skills and ability to translate complex systems into usable documentation.
- Ability to provide guidance to engineers in designing 'to-be' workflows, supporting implementation and change management across teams. Experience leading technical design workshops and facilitating adoption of governance practices.
- Contribution to AI governance initiatives, ensuring alignment with international standards and emerging regulations. Preferred: Knowledge of ethical AI principles and governance frameworks for machine learning systems.
