• London/Hybrid (2 days per week)
  • £60,000

Data Engineer | Python | Energy Industry 

We are partnered with an energy industry organisation working on a key project to modernise the UK energy market. They are seeking a Data Engineer to join the team and contribute to a cutting-edge platform for analytics and machine learning. They are looking for a skilled data engineer with experience in Databricks, Spark, and Python, who can deliver high-impact data products. This role offers the opportunity to work alongside an exciting, collaborative team with a clear roadmap for growth and the chance to collaborate across the wider technology teams.

What you’ll be doing:

  • Design and Optimise pipelines in Python
  • Collaborate with analysts and scientists
  • Deliver high impact products
  • Power advanced analytics and machine learning across the UK energy market

What we’re looking for:

  • Experience with Azure cloud data lakes and services (Data Factory, Synapse, Databricks).
  • Skilled in ETL/ELT pipeline development and big data tools (Spark, Hadoop, Kafka).
  • Strong Python/PySpark programming and advanced SQL with query optimisation.
  • Experience with relational, NoSQL, and graph databases.
  • Familiar with CI/CD, version control, and infrastructure as code (Terraform).
  • Strong analytical skills with large structured and unstructured datasets.

Package Details:

  • £60,000 per annum
  • Discretionary annual incentive scheme
  • Life insurance
  • London, hybrid (2 days in the office per week)
  • Private dental and medical
  • Gym and cycle to work scheme
  • Clear career progression opportunities

** Unfortunately, due to the volume of applications, not all submissions will receive feedback

 

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