Cititec
Data Engineer

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We’re partnering with a leading global energy trading business that is continuing to invest heavily in its data and technology capabilities. They are looking for a Data Engineer to join a growing Data Science & Technology team, helping build the data platforms and pipelines that support commercial decision-making across global energy markets.
This is a great opportunity for a Data Engineer who enjoys working on meaningful data problems, building scalable solutions, and seeing the direct impact of the technology they create.
The Opportunity
You’ll play a key role in improving how data is collected, managed and delivered across the business.
- Working closely with engineers, data scientists and commercial stakeholders, you’ll help build reliable data solutions that enable better analytics, forecasting and decision-making.
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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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
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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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
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.
This is not a reporting-focused role, you’ll be working on the engineering behind the data, including:
- Building and improving data pipelines and ingestion processes.
- Designing and optimising data models and architectures.
- Working with large, complex datasets.
- Improving data quality, accuracy and accessibility.
- Supporting the development of modern data platforms.
- Partnering with business teams to understand requirements and deliver solutions.
You’ll ideally have:
- 3+ years of commercial Data Engineering experience.
- Strong SQL skills and experience working with relational databases.
- Hands-on Python experience for data processing and automation.
- Experience building ETL/ELT pipelines.
- Experience with data modelling and data architecture.
- Exposure to modern cloud data platforms, ideally Snowflake.


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Experience within energy, commodities, finance or another data-intensive environment would be beneficial but is not essential.
Benefits
- Work on data platforms that directly support commercial and trading decisions.
- Join a technology function investing heavily in data, analytics and AI.
- Build solutions used by teams across a global business.
- Work with modern data technologies and large-scale datasets.
- Have genuine ownership and visibility over the work you deliver.
If you’re a Data Engineer looking for a role where your work has real business impact, this is an opportunity worth exploring.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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