EET Fuels
Data Engineering Graduate

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Location: Stanlow Manufacturing Complex, Ellesmere Port
Employment Type: Site Based Full Time Role, 5 days per week, Monday-Friday
Start Date: December 2026 (2 Year Fixed Term)
Competitive Salary Starting at £30,000 per annum
10% salary uplift following a successful annual performance review, each year while on the graduate program
10% Company Contribution Pension
25 days of holiday, increasing with service
Private Medical Insurance
Additional Flex Benefits, Including Holiday Purchase
Access to the Employee Assistance Programme with exclusive discounts
Free secure on-site car parking
About Us
EET Fuels is transforming one of the UK’s most important energy hubs into a low-carbon, digitally driven operation — combining large-scale decarbonisation with ambitious technology modernisation. With major investment flowing into carbon-capture, hydrogen fuel switching and smart refinery systems, the company is shifting from traditional operations to a future where data, automation and secure digital infrastructure sit at the heart of how energy is produced. For graduates, this means joining a team where digital innovation is at the core of the transformation. From building secure, modern IT platforms to strengthening cybersecurity across a complex industrial environment, early-career talent gets the chance to work on high-impact challenges that matter to the UK’s energy future. It’s a place to learn fast, contribute immediately and help shape a digitally intelligent, low-carbon energy future.
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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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.
Participants lead by doing, gaining invaluable real-world experience through challenging projects alongside mentors and subject matter experts. Throughout the program, you will engage in diverse assignments such as project and product management, data analytics, IT operations, software development, Digital Engineering, Cybersecurity projects and audits and more.
About The Role
You will bring expertise in Data Engineering, AI and Automation to:
- Work closely with engineering, IT, operations, and functional teams to deliver scalable and sustainable digital transformation projects.
- Design, develop, and maintain data infrastructure.
- Support the development and maintenance of AI-powered tools that integrate data from multiple sources, visualize insights through interactive applications (e.g., Power BI), and automate presentation generation.
- Use Python and relevant libraries to build, test, and deploy tools.
- Work on data governance and assist with data preparation tasks, including cleaning, transformation, and feature extraction, to ensure data is structured and ready for analysis and visualization.
- Implement data governance practices, including data access controls, role-level security, and data lineage documentation.


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About You
Our ideal candidate will be a graduate with a degree in Data Engineering / AI or related fields (such as Computer Science).
- Strong analytical thinking and problem-solving abilities.
- A passion for how technology can drive business success.
What We Offer:
- A structured development programme with technical training.
- Hands-on experience in impactful projects.
- Opportunities to grow your skills and shape the future of our business.
Application Deadline: 12th October 2026. Please note, the application deadline is subject to change and may close earlier depending on application volumes.
Please note, we work with a carefully selected set of recruitment agencies, and we are not looking to add to the current preferred suppliers list. We are unable to accept representations from agencies that are not on that preferred supplier list.
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