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.
Their 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. Their 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 E2ETech100 list of fastest growing tech scale-ups in the UK. Reward, in conjunction with partners NatWest Group, was also awarded the Industry Achievement Award 2023 at the prestigious Card and Payments Awards.
Role Summary
We are looking for an experienced Senior Data Engineer to design, build, and optimize large-scale data solutions. You will work closely with Data Scientists, Software Engineers, and Solution Architects, as well as business stakeholders, to deliver robust, scalable data pipelines and reporting solutions. This role is pivotal in shaping the future of our data products and ensuring data-driven decision-making across the organization.
Requirements
* Minimum 5 years hands-on experience working with terabyte-scale databases and high-volume data systems
* Strong understanding of data engineering principles, including:
* Data modeling (logical & physical), normalization, denormalization
* ETL design and orchestration
* Performance optimization and scalability
* Data quality, governance, and security
* Expertise in Microsoft SQL Server (SSRS, SSIS, SSAS)
* Proficiency in AWS Cloud services (EC2, 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.)
Responsibilities
* Lead the design and implementation of ETL pipelines and data lakes in AWS for scalable and efficient data access
* Collaborate with Data Scientists, Software Engineers, and Architects to integrate data solutions into analytics and applications
* Develop and optimize data architectures for terabyte-scale relational and distributed systems
* Implement Infrastructure as Code (IaC) using Terraform for automated deployments
* Ensure data governance, security, and compliance across all environments
* Translate business requirements into technical specifications and actionable solutions
* Drive performance tuning, indexing strategies, and query optimization for high-volume datasets
* Automate workflows and enforce best practices for data quality and lineage tracking
* Provide QA and peer review support for team deliverables
* Produce clear, structured documentation for processes and solutions
Benefits
* 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
* Employee share scheme
* 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
* Volunteering program
* 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