Data Engineer
SKILLS
FULL DESCRIPTION
Data Engineer
[Employer hidden — view at passion-project.co.uk]
United Kingdom
Sector: Offshore Wind
Post date: 24 April, 2026
Contact email: [contact hidden]
Job Details
Data Engineer for a major offshore wind project in The United Kingdom
Responsibilities
- Design and implement scalable ingestion pipelines from multiple source systems including and internal business data sources.
- Ensure reliable, automated, and monitored data flows into the Bronze layer of the Medallion architecture.
- Work within clients existing security framework to establish compliant connectivity to operational data sources.
- Build and maintain Silver and Gold layer transformations in Databricks using Python and SQL.
- Onboard datasets into Unity Catalog, ensuring proper governance, lineage, and discoverability.
- Support the ML/Data Scientist in preparing clean, structured datasets for anomaly detection and asset performance modelling.
- Contribute to technical documentation and ensure pipelines are maintainable and transferable.
- Stay current on Databricks and Azure platform developments relevant to the stack.
- Support the Digital & AI Strategy Manager in assessing feasibility of new data source integrations as the roadmap evolves.
Experience
- Master’s degree in Computer Science, Data Engineering, Software Engineering, or a related technical field.
- Professional certifications in Azure, Databricks preferred
- Training or background in energy systems, renewable energy, offshore wind or BESS technologies is a strong plus.
- 4-7 years of hands-on data engineering experience in a cloud environment.
- Demonstrated experience delivering production pipelines on Databricks and Azure (ADLS Gen2, ADF or equivalent).
- Proven ability to implement Medallion architecture or equivalent layered data modelling patterns.
- Experience with REST API ingestion and integration of business systems (ERP, finance tools).
- Experience in a contractor or project-based delivery model preferred.
- Exposure to OT/SCADA environments or energy sector data.
- Exposure to MLOps workflows or collaboration with data science teams.
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Key Contact
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Rossana Mascagnini
Associate Consultant, Offshore Wind Contract
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