At a Glance
- Tasks: Build and maintain data pipelines for the energy supply business using Python and SQL.
- Company: Established energy business in London with a hybrid work model.
- Benefits: Competitive salary, clear ownership of projects, and career growth opportunities.
- Other info: Collaborative environment with opportunities to work closely with engineers and stakeholders.
- Why this job: Make a real impact in the energy sector while developing your data engineering skills.
- Qualifications: Strong Python and SQL skills, experience with data pipelines, and a passion for energy systems.
Our client, a well-established energy business in London, is hiring a Senior Data Engineer to support the next phase of their growth. The role is based in Mayfair and operates on a hybrid basis, with three office days and two remote days per week.
Role Purpose: We are looking for an engineer who is responsible for building, maintaining, and evolving the data pipelines and models that underpin our supply business. This includes ingestion, transformation, validation, and exposure of data used by trading, optimisation, operations, and reporting. The role exists to provide clear ownership of the supply data stack, reduce operational and analytical friction, and allow traders, analysts, and optimisation engineers to rely on high-quality, well-understood data without constant ad-hoc intervention.
Key Responsibilities:
- Own the Energy Supply Data Stack.
- Take end-to-end ownership of data pipelines supporting the supply business.
- Ensure data is accurate, timely, and fit for both operational and analytical use in our pipelines.
- Build and Maintain Robust Data Pipelines.
- Ingest data from internal systems, market sources, and third-party providers.
- Implement transformations, validations, and reconciliation logic using Python and SQL.
- Proactively identify and resolve data quality issues.
- Collaborate Across Engineering and the Business.
- Work closely with engineers to ensure data systems integrate with trading and optimization platforms.
- Support the broader engineering team by owning supply-domain data complexity.
- Contribute to improving standards and tooling across the data platform.
- Develop a Deep Domain Expertise in Energy Supply and UK Markets.
- Build a strong, working understanding of the UK energy supply industry, including market structures, products, and commercial drivers.
- Maintain familiarity with UK electricity and gas market mechanics, settlement processes, and key regulatory frameworks.
- Translate regulatory, commercial, and operational requirements into robust data models and pipelines.
What We're Looking For:
- Strong Python and SQL skills in data engineering contexts.
- Experience building and maintaining production data pipelines.
- Experience working with SQL and data-engineering environments such as Databricks or Spark.
- Ability to work closely with non-engineering stakeholders and translate business needs into data models.
- Desire to become an expert in all facets of the energy systems in which they participate, from behind-the-meter asset optimisation to retail energy supply.
- Experience in energy supply, trading, or market-facing data systems.
- Exposure to regulated or operationally critical data environments.
- Familiarity with CHP, generation assets, or flexibility markets.
What You'll Get:
- Clear ownership of a critical part of the business's technical foundation.
- The opportunity to turn ad-hoc, manual data work into robust systems.
- A position with long-term scope: as the company and product grow, so does your impact, responsibility, and career trajectory.
London Employment Type: Permanent
Energy Data Engineer (f/m/d) in London employer: MFK Recruitment
As a leading workplace equipment supplier, this award-winning organisation offers a dynamic and supportive work culture that prioritises innovation and customer satisfaction. Employees benefit from competitive salaries, a bonus structure, and the flexibility of remote work, alongside opportunities for professional growth and development within a thriving B2B market. The company's commitment to employee well-being and success makes it an excellent employer for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Energy Data Engineer (f/m/d) in London
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Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at MFK Recruitment
✨Brush Up on Your Statistics
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
