Data Engineer

🔒 Confidential Employer
Posted 27 April 2026
LOCATION
United Kingdom
TYPE
Contract
LEVEL
Associate
CATEGORY
Offshore Wind
This employer holds a UK Home Office sponsor license — sponsorship for this specific role is at the employer’s discretion

SKILLS

Data Engineering Cloud Environment Databricks Azure Python SQL Medallion architecture REST API

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

Questions about this role? Connect with our expert renewable energy consultant to discuss.

Global

Rossana Mascagnini

Associate Consultant, Offshore Wind Contract

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