Senior Data Engineer - Data and AI Governance

Senior Data Engineer - Data and AI Governance

Gen Re – City Of London, England, United Kingdom

General Re Corporation, a subsidiary of Berkshire Hathaway Inc., is a holding company for global reinsurance and related operations, with more than 2,000 employees worldwide. It owns General Reinsurance Corporation and General Reinsurance AG, which conducts business as Gen Re.

Gen Re delivers reinsurance solutions to the Life/Health and Property/Casualty insurance industries. Represented in all major reinsurance markets through a network of 37 offices, we have earned superior financial strength ratings from each of the major rating agencies.

Main Purpose of the Role

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.

Key Responsibilities

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.

Qualifications & Experience

• 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.

Closing Date: 15 December 2025

Our Address

Corn Exchange
55 Mark Lane
London

It is the continuing policy of the Gen Re Group to afford Equal Opportunity to qualified individuals without regard to race, color, sex (including childbirth or related medical conditions), religion, national origin or citizenship, sexual orientation, gender identity, or any characteristic protected by applicable law. In addition, Gen Re provides reasonable accommodation for qualified individuals with disabilities in accordance with the Americans with Disabilities Act.

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