Data Engineering Graduate

EET Fuels; Ellesmere Port; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading energy company in Ellesmere Port is looking for a graduate to join their Data Engineering role. This position involves working on digital transformation projects, utilizing Python and data governance practices. The ideal candidate should possess a degree in Data Engineering or related fields and demonstrate strong analytical and problem-solving skills. The role offers a structured development program and opportunities for career growth.

Benefits

Competitive salary starting at £30,000

10% salary uplift after performance reviews

10% Company Contribution Pension

25 days of holiday

Private Medical Insurance

Access to Employee Assistance Programme

Free secure on-site car parking

Qualifications

• Graduate with relevant degree.
• Strong analytical thinking and problem-solving skills.
• Passion for technology driving business success.

Responsibilities

• Deliver scalable and sustainable digital transformation projects.
• Design, develop, and maintain data infrastructure.
• Support development of AI-powered tools.
• Use Python for tool development.
• Implement data governance practices.

Skills

Data Engineering

AI

Automation

Analytical thinking

Problem-solving

Education

Degree in Data Engineering / AI or related fields

Tools

Python

Power BI

Job description

Location: Stanlow Manufacturing Complex, Ellesmere Port

Employment Type: Site Based Full Time Role 5 days per week Monday-Friday

Start Date: October 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.

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, visualise 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 visualisation.
• Implement data governance practices, including data access controls, role‑level security, and data lineage documentation.

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: Thursday 15th January 2026. Please note, the application deadline is subject to change and may close earlier depending on application volumes.