Senior Data Engineer

2 weeks ago


Glasgow, Glasgow City, United Kingdom Sentinel Full time
Job Description

Senior Data Engineer (Azure / Data Lake / Databricks / Data Factory / SQL Data Warehouse / SQL Database)

A leading energy company in the low-carbon sector is looking for a Senior Data Engineer.

Base Location: Flexible, with a preference for key Scottish sites including Perth, Aberdeen, or Inverness. Glasgow, Edinburgh, Portsmouth and Reading are also possible.

Working Pattern: Permanent | Full Time | Hybrid (1 day at the office per week)

What is the Role?

As a Senior Data Engineer, you'll develop and optimize data pipelines on the Microsoft data stack, particularly the new Fabric data platform. You'll collaborate with data architects, developers, and stakeholders to drive data-driven decision-making. Reporting to the Lead Data Engineer, you'll be part of a team delivering innovative data solutions across the business.

Key Responsibilities:

  • Design and implement sophisticated data models and pipelines.
  • Collaborate with data management teams to uphold data governance and security standards.
  • Optimize data solutions using Azure, ensuring robust testing and deployment.
  • Foster continuous improvement and innovation in data engineering.
  • Translate complex business requirements into scalable data solutions.

What Do I Need?

  • Professional-level technical computing, analysis, design, and development skills.
  • Experience with Azure cloud technologies for analytics solutions.
  • Proficiency with Azure resources like Data Factory, Databricks, Data Lake, SQL Database, and SQL Data Warehouse.
  • Senior-level experience in data engineering, including designing data models, ETL pipelines, and conducting testing/QA.
  • Experience with Azure DevOps, including best practices in source control, CI/CD, and change control.

Why Join Us?

  • A range of benefits to support your family, finances, and well-being.
  • A financial performance-related bonus.

Ready to make an impact? Apply now not to miss an opportunity.



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