Senior Data Governance Engineer

You'll be part of the Data Management Product Team, where you, together with your colleagues, will enable people across Ørsted to easily, securely, and reliably generate value from data.

As a team, we achieve this through a combination of commercial off-the-shelf (COTS) products, governance frameworks, and internally developed automation and tooling.

You'll play an important role in:

• driving Ørsted's adoption of the enterprise data catalogue by ensuring datasets are consistently documented with clear business definitions, ownership, lineage, and usage guidance
• accelerating data product onboarding by streamlining how teams register, document, and publish their data products, reducing manual effort and improving consistency across the organisation
• enabling AI-ready data products by ensuring metadata provides the context, business meaning, quality indicators, and governance information required for both people and AI systems to safely consume data
• configuring, maintaining, and troubleshooting metadata ingestion, integrations, and automation between the data catalogue and enterprise platforms
• providing responsive and user-focused support to data producers and consumers, helping colleagues navigate catalogue, onboarding, and integration challenges through clear communication and continuous improvement of processes and self-service capabilities
• connecting stakeholders across the organisation by collaborating closely with engineers, architects, product teams, and governance functions to align priorities, ways of working, and outcomes.

To succeed in the role, you:

• have experience with data governance and metadata management practices, such as business glossaries, data classification, stewardship models, and standards that help drive adoption and trust in data.
• have exposure to enterprise data catalogues (e.g., Collate, DataHub, Collibra, Atlan, Informatica, AWS Glue), including metadata ingestion, lineage, catalogue configuration, and supporting both data producers and consumers.
• have strong problem-solving and collaboration skills, with the ability to work effectively across engineers, architects, product teams, and governance stakeholders to resolve challenges and continuously improve services.
• have experience building integrations, automations, or onboarding workflows using Python, REST APIs, or similar technologies, with the ability to translate governance and metadata requirements into scalable and maintainable solutions.
• are familiar with DevOps and CI/CD practices (e.g., GitHub, GitHub Actions) and an appreciation for applying engineering discipline to catalogue configuration, ingestion pipelines, and automation.
• have knowledge of cloud platforms such as Azure and/or AWS and experience deploying, operating, and troubleshooting containerized applications using Docker and Kubernetes (e.g., AKS or EKS).