Talentedge
Energy Analytics Engineer

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We are supporting an international energy business with the appointment of an Energy Analytics Engineer / Data & Automation Analyst within their Commercial Finance function in London.
This is an opportunity for a technically strong data, analytics, or software professional to join a growing energy business and work at the intersection of data, technology, and commercial decision-making.
The role will work closely with Trading, Quantitative Analytics, Technology, Data Architecture, and Commercial Finance, developing analytical tools, automated data flows, and applications that improve how the business manages and understands its commercial activity.
The business operates across GB power, gas, and carbon markets, with exposure to CCGT, BESS, Energy Management Services, and a range of increasingly sophisticated trading arrangements. There is significant scope to shape the role and its technology landscape. You’ll be working on a combination of automation, data engineering, analytical applications, reporting, and commercial tools, with the opportunity to contribute to projects well beyond a single function.
The Role
The Energy Analytics Engineer will help develop and enhance the analytical capability supporting the wider commercial organization.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
You’ll be involved in areas such as:
- Building Python-based applications and automated data pipelines
- Working with large, complex, and time-series datasets
- Developing dashboards, analytical tools, and reporting applications
- Automating calculations, reconciliations, and commercial processes
- Building data integrations between internal systems, external market data, and the Aligne ETRM
- Developing automated controls and analytical solutions that improve data quality and commercial visibility
- Identifying opportunities to replace manual or spreadsheet-based processes with scalable technology
- Working closely with Trading and Quantitative Analytics on data-driven projects
- Supporting the development of commercial analytics across areas such as settlements, P&L, credit, and collateral
- Working with Technology and Data Architecture to develop robust, production-quality solutions
- Contributing to the continual development of the company's wider data and analytics capability
The role offers exposure to a broad range of commercial and technical challenges, with the opportunity to develop a strong understanding of energy markets, trading activity, and the data infrastructure that supports them.


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What they’re looking for
This could suit someone coming from a variety of technical or analytical backgrounds.
Relevant experience could include data engineering, data science, software engineering, quantitative analytics, energy analytics, commercial analytics, or digital transformation.
Energy experience is useful but not essential. The business is particularly interested in people who are technically capable, commercially curious, and enjoy solving complex problems through data and automation.
You’ll ideally bring:
- 2+ years’ experience in data, automation, software development, analytics, or a similar environment
- Strong Python skills
- Experience with SQL, databases, and large datasets
- Experience building analytical applications, automated processes, or dashboards
- Experience working with APIs and data integrations
- Familiarity with Git, testing, and modern software development practices
- Strong analytical and problem-solving skills
- The ability to translate complex data into practical business solutions
- Strong communication skills and the ability to work across technical and commercial teams
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