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Job Title: Senior Data Engineer
Duration: 6 Months
Location: Reading
Description: As the Senior Data Engineer within Energy Markets you will be responsible for designing, building, managing, and optimizing data pipelines and the data model used by our Data Scientists and Traders. Working closely with Data Management teams on governance and security as well as business stakeholders around projects and IT teams to deliver these data pipelines and models effectively into production. This role will focus on python development on the Databricks and Streamlit platforms to deliver operational tools and process efficiencies.
As part of your role you will:
- Architect, create, improve, and operationalise integrated and reusable data pipelines, tools, and processes. Measuring performance, efficiency, and robustness of data provision and best practice process approaches.
- Deliver commercial value through working with key business stakeholders, IT experts, and subject-matter experts and high-quality analytics and data science solutions.
- Understand that solutions and developments need to fit with the long-term Data Strategy for the analytics platform.
- Explore the opportunities presented by using the latest advances in technology and tools alongside contributing to ensure an appropriate operational model exists to support solutions in production.
- Promote a better understanding of data and analytics across business stakeholders.
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.
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No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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- Possesses outstanding communication skills and encourages collaboration across EM. Building strong relationships throughout the business is crucial to preserving the trust and respect necessary for the team to continue offering support and guidance.
- Strong communication and stakeholder management skills, with the ability to lead cross-functional projects and drive adoption of data quality practices.
- Promote and champion the exceptional work being accomplished.
You will need to have:
- Extensive experience in programming/query language skills including Python/PySpark and SQL.
- Data engineering experience - via data preparation, transformation & conversion to allow for rapid processing of system data across a number of different formats & structures.
- Experience in Databricks, Azure, ADF, Streamlit, or alternatives.
- Excellent technical computing, analysis, design, and development skills to a proven professional level.
- Good understanding of data streaming concepts with experience designing, analyzing (not essential).
- A good understanding of data modelling, ELT design patterns, data governance, and security best practices.
- A problem-solving mindset, curiosity, and adaptability — able to operate as a generalist across multiple data domains.
- A strong background in delivering using cloud-based Microsoft Azure Data and Analytics capabilities, Microsoft DevOps, and Agile delivery.
- Experience with designing, building, and operating analytics solutions using Azure cloud technologies.
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