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For Companies At a Glance
- Tasks: Build and maintain data pipelines for the energy supply business.
- Company: Established energy company in London with a hybrid work model.
- Benefits: Competitive salary, career growth, and collaboration with trading teams.
- Why this job: Make a real impact in the energy sector while developing your data engineering skills.
- Qualifications: Strong Python and SQL skills; experience in data engineering.
- Other info: Opportunity to become an expert in the UK energy market.
The predicted salary is between 36000 - 60000 £ per year.
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. This position would sit within both the supply-side of our business and the broader technology department, meaning this role also includes engaging with the technology strategy of our client as a whole.
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.
- Collaborate with supply managers to deliver insights and serve as a first point of contact.
- 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 optimisation 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.
Nice to Have
- 4+ years of related experience.
- 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.
- Close collaboration with trading, optimisation, and operations teams.
- A position with long-term scope: as the company and product grow, so does your impact, responsibility, and career trajectory.
Senior Data Engineer employer: Rkotours
Contact Detail:
Rkotours Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the energy sector, especially those working in data roles. Attend industry events or webinars, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving Python and SQL. This can be a game-changer during interviews, as it gives potential employers a tangible sense of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your data engineering concepts. Practice coding challenges related to data pipelines and SQL queries. We recommend using platforms that simulate real interview scenarios to get comfortable with the format.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Senior Data Engineer role. Highlight your Python and SQL skills, and any experience with data pipelines. We want to see how your background fits into our energy supply business!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data engineering and the energy sector. Let us know why you’re excited about this role and how you can contribute to our team.
Showcase Relevant Experience: When detailing your experience, focus on projects that demonstrate your ability to build and maintain data pipelines. If you've worked with Databricks or Spark, make sure to mention it – we love seeing that expertise!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Rkotours
✨Know Your Data Inside Out
Make sure you have a solid understanding of data engineering principles, especially in Python and SQL. Brush up on your knowledge of data pipelines and how they support business operations, particularly in the energy sector. Being able to discuss specific examples from your past experience will show that you’re not just familiar with the concepts but can apply them effectively.
✨Understand the Energy Market
Familiarise yourself with the UK energy supply industry, including market structures and regulatory frameworks. This knowledge will help you translate business needs into effective data models. During the interview, don’t hesitate to share insights or ask questions about their current data challenges in the energy market.
✨Showcase Your Collaboration Skills
This role requires working closely with non-engineering stakeholders. Prepare examples of how you've successfully collaborated with different teams in the past. Highlight your ability to communicate complex data concepts in a way that’s understandable to those outside of engineering.
✨Prepare for Technical Questions
Expect technical questions related to building and maintaining data pipelines. Be ready to discuss your experience with tools like Databricks or Spark. Practising coding problems or SQL queries beforehand can give you the confidence to tackle any technical assessments during the interview.
