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About Reward
Founded in 2001, Reward is an industry leader transforming the world of customer engagement and commerce media. Operating in 15 countries across Europe, Middle East and Asia, Reward’s cloud-based API platform integrates content, advertising, and commerce to deliver exceptional experiences for consumers resulting in increased customer engagement, retention, and overall satisfaction.
Reward’s Loyalty-tech platform is behind many award-winning bank loyalty programmes seen today from brands such as Visa, NatWest Group, Barclays, and First Abu Dhabi Bank to name a few. Reward also works with the world’s largest retailers such as McDonald’s, eBay, Deliveroo and Amazon.
Our leading commerce media platform fuses purchase insights with loyalty-tech, offering an unparalleled edge in digital advertising and performance marketing for retailers. Leveraging rich data and insights, the Reward platform provides a comprehensive view of consumer behaviour, empowering retailers to target marketing messages more effectively, resulting in independently verified sales uplift and long-term customer lifetime value.
Beyond bridging the gap between content and commerce, Reward is a purpose driven business. Our mission is to make everyday spending more rewarding. During the last 5 years, Reward has proudly given back more than $1billion in cashback rewards to consumers world-wide.
Most recently, Reward’s rapid growth was recognised in The Independent’s E2E Tech 100 list of the fastest-growing tech scale-ups in the UK. Reward, in conjunction with partners NatWest Group, were awarded the Industry Achievement Award 2023 at the prestigious Card and Payments Awards. In 2026, Reward was also recognised as a Great Place to Work UK, ranking #41, and was named on Great Place to Work UK’s Best Workplaces for Development™ List, placing #37 in our first year of entry.
Role Summary
Working within the Insight Solutions group, the Insights Tech Lead is a hands-on technical leader responsible for identifying, designing and delivering innovative analytical products that improve the efficiency, scalability and quality of Reward's insight capability.
Operating at the intersection of Insight Solutions, Analytical Engineering, Data Engineering, Software Engineering and Data Product, the role rapidly develops proof-of-concept applications, automation and configurable analytical solutions that solve real business problems. Successful solutions are embedded within the Insight team to deliver immediate value before being transitioned into long-term business platforms through collaboration with Engineering and Product teams.
The Consumer Insights Tech Lead combines strong engineering expertise with commercial understanding to accelerate innovation, reduce manual effort, standardise analytical processes and enable Reward to deliver best-in-class client insight at scale.
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Experience
- Significant experience in Analytics Engineering, Data Engineering, Business Intelligence, Software Engineering or a similar technical discipline.
- Proven experience developing enterprise analytical solutions, automation and reusable technical products.
- Demonstrable experience delivering proof-of-concept applications from ideas through validation and adoption.
- Experience working across multidisciplinary teams including Insight, Engineering, Product and Commercial functions.
- Experience identifying opportunities to improve operational efficiency through technology and automation.
- Experience working with AI technologies to accelerate software development and business capability is highly desirable.
Skills & Competencies
Essential
- Expert Python development for data, analytics and automation.
- Advanced SQL (Amazon Redshift, T-SQL) and data modelling.
- Expert Power BI development, including semantic models and Power BI Service administration.
- Experience building scalable data products and analytics solutions.
- Strong software engineering practices (OOP, testing, Git, documentation).
- Experience with Docker, AWS and/or Google Cloud Platform.
- Experience integrating REST APIs and multiple data sources.
- Understanding of modern analytics engineering and scalable solution architecture.
- Experience developing AI applications using Large Language Models (LLMs), including prompt engineering, RAG, vector databases, embeddings and commercial AI platforms (e.g. OpenAI, AWS Bedrock).
- Knowledge of traditional machine learning techniques, including tree-based models (e.g. Random Forest, CatBoost), feature engineering techniques such as TF-IDF, and experience evaluating and deploying AI/ML solutions in commercial environments.
- Excellent problem-solving, communication and stakeholder management skills.
Desirable
- Experience developing internal developer tools or self-service analytical products.
- Experience with CI/CD pipelines.
- Experience with modern JavaScript frameworks such as React.
- Experience working within agile product or engineering teams.
- Experience mentoring technical colleagues and promoting engineering best practices.
- Passion for evaluating emerging technologies and identifying opportunities to improve Reward's analytical capability.
Outlook
- Naturally curious with a passion for emerging technology and innovation.
- Pragmatic, delivery-focused and comfortable working with ambiguity.
- Commercially minded with a focus on solving real business problems.
- Collaborative and approachable, with a desire to enable others through technology.
- Passionate about continuous improvement, automation and building scalable solutions.
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Responsibilities
- Identify opportunities to improve Reward's analytical capability through automation, configurable solutions and innovative technical products.
- Design, build and validate proof-of-concept applications and data products that solve business and commercial challenges.
- Rapidly prototype new analytical capabilities using modern engineering techniques, cloud technologies and AI tooling.
- Work closely with Insight Solutions to embed successful solutions into analyst workflows and maximize business benefits.
- Partners with Engineering and Data Product teams to transition successful proof-of-concepts into scalable production solutions.
- Champion the adoption of AI, automation and modern engineering practices across the Insight function.
- Reduce manual effort by developing reusable frameworks, configurable analytical products and scalable automation.
- Translate business requirements into robust technical solutions that improve the quality, consistency and speed of insight delivery.
- Ensure all technical solutions meet high standards of accuracy, maintainability, usability and performance.
- Evaluate emerging technologies and identify opportunities to enhance Reward's analytical capability and internal tooling.
- Promote engineering best practice, technical documentation and knowledge sharing across teams.
- Act as the technical authority within Insight Solutions, providing guidance on solution architecture, AI adoption and engineering approaches while collaborating closely with Engineering and Data Product teams.
Benefits
- Annual Leave: 25 days + bank holidays
- Company holiday: 3 additional days off between Christmas & New Years
- 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
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