Data Engineer

At a glance

Location

United Kingdom

Work setting

Onshore

Rotation

Not stated

Industry

Wind energy

Employer

Shown after sign-in

About the role

Data Engineer for a major offshore wind project in the United Kingdom. Responsibilities include designing and implementing scalable ingestion pipelines from multiple source systems and internal business data sources, ensuring reliable and automated data flows into the Bronze layer of the Medallion architecture, working within the client's security framework to establish compliant connectivity to operational data sources, building and maintaining Silver and Gold layer transformations in Databricks using Python and SQL, and onboarding datasets into Unity Catalog with proper governance, lineage, and discoverability. The role also involves supporting the ML/Data Scientist with clean, structured datasets for anomaly detection and asset performance modelling, contributing to technical documentation, staying current on Databricks and Azure platform developments, and supporting the Digital & AI Strategy Manager in assessing the feasibility of new data source integrations. Experience includes a master's degree in a relevant technical field, professional certifications in Azure and Databricks preferred, background in energy systems or offshore wind a plus, 4-7 years of cloud data engineering experience, production pipelines on Databricks and Azure, Medallion architecture, REST API ingestion and business systems integration, contractor or project-based delivery, exposure to OT/SCADA environments or energy sector data, and collaboration with data science teams.

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