Graduate Data Engineer

Reward; Belfast City District; Hybrid; GBP 25,000 - 35,000; Full time

Benefits offered by this job

Hybrid working

Mentorship

Training opportunities

Pension

Wellbeing app

Discounts

Company events

Life insurance cover

Income protection

Tech allowances

Job summary

Reward, part of the Rezolve Ai Group, is hiring a Graduate Data Engineer to help build and maintain data platforms and pipelines. You will work with cloud technologies, data warehousing, and databases while developing technical skills in a supportive environment.

This role suits recent graduates in Computer Science, Data Science, or related fields who are eager to learn and grow within a data-enabled tech organisation.

Qualifications

• Degree in Computer Science, Data Science, Software Engineering, Mathematics, Statistics, Physics, or related field.
• Strong analytical and problem‑solving skills with an interest in data.
• Basic understanding of Cloud technologies and Python.
• Experience with Python, Java, or similar through projects or placements.
• Understanding of data structures, databases or software development principles.
• Strong communication and collaboration skills.
• Eagerness to learn new technologies and manage priorities.

Responsibilities

• Support the development and maintenance of data pipelines and integration processes.
• Assist in managing and maintaining databases to ensure data is accurate, secure, and accessible.
• Work with cloud-based technologies and tools within AWS to support data storage and processing.
• Collaborate with Data, Product, Engineering, and Operations teams to understand data requirements and business needs.
• Help develop and maintain data models, documentation, and reporting structures.
• Monitor data quality and investigate issues to ensure reliable data.
• Support automation of manual data processes and contribute to continuous improvement.
• Learn and apply best practices in data engineering, data governance and security.
• Participate in code reviews, technical discussions, and knowledge-sharing sessions.
• Contribute to projects that improve data platform scalability and efficiency.

Skills

Python

Java

Cloud

Data pipelines

SQL

Analytical thinking

Teamwork

Communication

Education

Relevant degree in Computer Science / Data Science / Software Engineering / Mathematics / Statistics / Physics

Tools

AWS

Job description

Reward, part of the Rezolve Ai Group, is transforming the way people, banks, brands and retailers connect through everyday commerce.

Operating across 15+ markets throughout the UK, Europe, the Middle East and Asia, Reward sits at the intersection of banking and commerce, connecting financial institutions and retailers through technology, transaction intelligence and digital engagement.

Our platform helps banks deliver more relevant and rewarding experiences to millions of customers, while enabling brands and retailers to reach valuable audiences, drive measurable sales and build lasting loyalty.

Since our beginnings, we’ve had a simple mission: to make everyday spending more rewarding. To date, we’ve returned billions in cashback to consumers and continue to innovate how people engage with brands through their everyday spending.

In 2026, Reward became part of Rezolve Ai, a global AI-powered commerce and payments technology company. Together, we’re combining Reward’s transaction intelligence, customer engagement capabilities and commerce network with Rezolve Ai’s technology to create smarter, more personalised journeys from discovery and engagement through to transaction and loyalty.

This is an exciting time to join Reward. We’re an established, growing business with the technology, partnerships and expertise to make a real impact, combined with the ambition and opportunity that comes from being part of a global AI commerce organisation.

Our people are at the heart of that journey. We’re proud to be Great Place to Work® certified and recognised among the UK’s Best Workplaces™ Top 50 for 2026, reflecting a culture built around trust, inclusion, collaboration and putting people first.

We’re shaping the next generation of commerce and customer engagement - and we’re looking for people who want to help us build it.

Role Summary

We're looking for a curious and motivated Graduate Data Engineer to join our growing data team. This is an exciting opportunity for someone at the start of their career who is passionate about data, technology, and problem-solving.

As a Graduate Data Engineer, you'll work alongside experienced engineers, analysts, and data scientists to help build and maintain the data platforms and pipelines that power business decision-making. You'll gain hands‑on experience with cloud technologies, data warehousing, database management, and data processing while developing your technical skills in a supportive environment.

This role is ideal for a recent graduate in Computer Science, Data Science, Software Engineering, Mathematics, Physics, or a related discipline who is eager to learn and build a career in data engineering.

Role Requirements

• Recent graduate, or due to graduate soon, with a degree in Computer Science, Data Science, Software Engineering, Mathematics, Statistics, Physics, or a related field.
• Strong analytical and problem‑solving skills with a genuine interest in working with data.
• Basic understanding of Cloud technologies/python.
• Exposure to programming languages such as Python, Java, or similar through university projects, placements, or personal projects.
• Understanding of data structures, databases, or software development principles.
• Strong communication skills and the ability to work collaboratively within a team.
• Eagerness to learn new technologies and develop technical expertise.
• Ability to manage priorities and adapt to a fast‑paced environment.

Whilst not essential, any experience with the following would be advantageous:

• AWS or other cloud platforms.
• Data warehousing concepts and analytics platforms.
• ETL/ELT tools or data integration projects.
• Python for data processing and automation.
• Git or version control tools.
• Personal, academic, or internship projects involving data engineering, analytics, or software development.

Job Responsibilities

• Support the development and maintenance of data pipelines and integration processes.
• Assist in managing and maintaining databases to ensure data is accurate, secure, and accessible.
• Work with cloud-based technologies and tools within AWS to support data storage and processing.
• Collaborate with Data, Product, Engineering, and Operations teams to understand data requirements and business needs.
• Help develop and maintain data models, documentation, and reporting structures.
• Monitor data quality and investigate issues to ensure reliable and trustworthy data.
• Support the automation of manual data processes and contribute to continuous improvement initiatives.
• Learn and apply best practices in data engineering, data governance, and security.
• Participate in code reviews, technical discussions, and knowledge-sharing sessions.
• Contribute to projects that improve the scalability and efficiency of the organisation's data platform.

What You'll Gain

• Structured onboarding and mentorship from experienced Data Engineers.
• Hands‑on experience with modern cloud and data technologies.
• Exposure to real‑world data engineering projects at scale.
• Opportunities for professional development and technical training.
• A clear progression path within Data Engineering and the wider technology organisation.

Why Reward?

This is an exciting time to join Reward as we continue to grow as part of the Rezolve Ai Group. You'll have the opportunity to work in a fast moving, technology led environment, collaborate with talented people across our international business and make a tangible impact in your role.

You'll have the opportunity to learn, grow and shape how we work, while being part of a culture that values collaboration, inclusion, curiosity and getting things done.

• Ability to buy and sell holiday days as well as the ability to bank days (tenure dependant)
• Flexible working options: we are operating a hybrid working model with 3 days a week from the office
• Pension: Hargreaves Lansdown up to 6% matched contribution
• Generous family friendly cover
• Income protection
• Critical illness cover
• Life insurance cover
• Optical cover
• Yulife app for access to employee wellbeing and discounts
• Perks at Work, cashback/discount shopping site
• Salary sacrifice program which includes cycle to work scheme, electric car scheme and season ticket loans
• Company events i.e. Christmas party, all-company event and other social/hosted events during the year (we have an active social committee!)
• Team socials

At Reward, we are committed to creating an inclusive and diverse workplace where everyone is valued, respected and given the opportunity to thrive.

We are an equal opportunities employer and welcome applications from candidates of all backgrounds, experiences and perspectives. Recruitment and employment decisions are based on skills, experience, capability and potential, and we do not discriminate on the basis of any protected characteristic.

We are committed to ensuring our recruitment process is fair, accessible and inclusive. We will consider reasonable adjustments for candidates who require additional support during the recruitment and selection process.

We believe that diversity of thought, background and experience strengthens our teams and helps us build a better Reward.