Data Governance & Platform Engineer d/f/m

Data Governance & Platform Engineer

To start as soon as possible, full‑time / part‑time, permanent.

As the Technical Owner Mesh, you build and operate systems that make data products discoverable, high‑quality, lineage‑traced, and access‑controlled, turning governance and classification policy into enforced, automated controls in the platform.

About The Role

• Build and evolve the enterprise data‑quality framework, including automated data contracts, validation rules, quality controls, and pipeline quality gates, with proactive monitoring and alerting.
• Implement end‑to‑end lineage and metadata automation across the lakehouse and catalogue (Unity Catalog, Microsoft Purview), so lineage is captured automatically, not maintained by hand.
• Drive data access control and classification as code, leveraging fine‑grained security, masking, tagging, and identity‑based governance.
• Automate the data‑product lifecycle: templates, CI/CD for data products, catalogue registration, and the technical checks that certify a product as compliant before publish.
• Implement classification and sharing rules technically (open‑by‑default internally, masking/restriction for contractual and personal data), in partnership with Cyber and Data Protection.
• Instrument adoption and quality telemetry (usage, freshness, quality scores) so shareability and the reuse‑credit model run on real data.
• Support domain teams with the tooling and reference implementations to stand up compliant data products quickly.

Requirements and Experience

• University degree (or equivalent) in Computer Science, Computer Engineering, Information Technology or a related field.
• Hands‑on experience designing Data pipelines and Data mesh in a regulated, decentralised environment.
• Strong knowledge of data engineering: Python and advanced SQL, Spark, pipeline/orchestration tooling (Airflow, dbt or equivalent), CI/CD and Ia C.
• Deep Databricks/Unity Catalog skills: governance features, access control, lineage, tagging; plus Microsoft Purview or an equivalent catalogue/lineage stack.
• Expertise in Data‑quality engineering (data contracts, validation frameworks) and observability.
• Knowledge of access control and security engineering: RBAC/ABAC, row/column‑level security, masking, encryption and key handling, identity integration (Entra ID).
• Understanding of GDPR, data classification and KRITIS translated into technical controls (policy‑as‑code mindset).
• Architecture literacy sufficient to partner closely with the Lead Data Architect; pragmatic and delivery‑focused.
• Your Benefits
• Independent work on exciting and responsible tasks.
• Close collaboration in a motivated team with an open feedback culture that promotes personal and professional development.
• Insights into a global energy company.
• Hybrid working and flexible working time models.
• Free access to the Health Center, modern open workspaces, free parking, e‑charging stations and much more.
• Structured and digitised pre‑ and onboarding process supported by the web‑based app RWE+You.

We value diversity and therefore welcome all applications – regardless of gender, disability, nationality, ethnic and social origin, religion/belief, age, sexual orientation, and identity.

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