Data Product Engineering Lead

About Reward
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 are looking for an experienced Data Product Engineering Lead to drive the design, delivery and evolution of data products across banking and retail domains. You will lead a team of 4-5 data engineers, define technical strategy, ensure delivery of scalable AWS-based data platforms, and champion governance, quality and AI innovation.

Required Skills

• 8+ years Data Engineering experience.
• Leadership experience managing engineering teams.
• Strong data governance and quality mindset.
• Advanced SQL, DBT and Python skills.
• Terraform and IaC experience.
• Banking and Retail domain knowledge.
• Minimum 5 years hands-on experience working with terabyte-scale databases and high-volume data systems
• Expertise in Microsoft SQL Server (SSRS, SSIS, SSAS)
• Proficiency in AWS Cloud services (EC2, DBT, S3, RDS, Glue)
• Experience with Terraform for IaC and automation
• Ability to translate non-technical requirements into technical solutions
• Strong documentation skills
• Advanced MS Excel (complex formulas, PowerPivot, VBA)
• Python experience for data wrangling and automation
• Worked with various cloud technologies
• Experience with BI tools (Power BI, Tableau)
• Familiarity with AWS governance frameworks and compliance standards
• Domain expertise in retail, banking, CRM, loyalty programs, or digital marketing
• Degree in a quantitative field (Computer Science, Engineering, Mathematics, etc.)
• Experience with AI and Generative AI solutions.
• Experience with Databricks or Snowflake.
• Knowledge of Data Product and Data Mesh principles.

• Lead design and delivery of enterprise data products for banking and retail.
• Manage and mentor a team of 4-5 Data Engineers.
• Define technical vision, architecture and roadmap for data products.
• Provide best technical and product-led approaches for solution delivery.
• Implement scalable AWS data platforms and pipelines.
• Drive governance, data quality, security and compliance standards.
• Collaborate with business stakeholders and architects.
• Introduce AI, Generative AI and Machine Learning capabilities into the Data Engineering team.
• Design, build and maintain Airflow orechestration for batch and near-real-time pipelines (ingestion, transformation, ML feature and reporting workflows.
• Lead technical reviews and engineering standards.
• Provide QA and peer review support for team deliverables
• Produce clear, structured documentation for processes and solutions

About You

• You thrive in a collaborative environment—working with data scientists, engineers, and architects to deliver innovative solutions
• You live and breathe clean, efficient SQL
• You have great attention to detail and high standards for code quality
• You have strong analytical and organizational skills
• You approach problems with a proactive and positive attitude
• You keep an active interest in emerging technologies
• You’re a people person and enjoy team interactions and socials

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.

• Annual Leave: 25 days + bank holidays
• 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
• Private healthcare - Bupa
• Income protection
• Critical illness cover
• Life insurance cover
• Dental cover
• Optical cover
• Yulife app for access to employee wellbeing and discounts
• Perks at Work, cashback/discount shopping site
• Employee referral scheme
• 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

Equal Opportunities
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.