About RewardFounded 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 SummaryWe 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.RequirementsMinimum 5 years hands-on experience working with terabyte-scale databases and high-volume data systemsStrong understanding of data engineering principles, including:Data modeling (logical & physical), normalization, denormalizationETL design and orchestrationPerformance optimization and scalabilityData quality, governance, and securityExpertise in Microsoft SQL Server (SSRS, SSIS, SSAS)Proficiency in AWS Cloud services (EC2, S3, RDS, Glue)Experience with Terraform for IaC and automationAbility to translate non-technical requirements into technical solutionsStrong documentation skillsAdvanced MS Excel (complex formulas, PowerPivot, VBA)Python experience for data wrangling and automationWorked with various cloud technologiesExperience with BI tools (Power BI, Tableau)Familiarity with AWS governance frameworks and compliance standardsDomain expertise in retail, banking, CRM, loyalty programs, or digital marketingDegree in a quantitative field (Computer Science, Engineering, Mathematics, etc.)ResponsibilitiesLead the design and implementation of ETL pipelines and data lakes in AWS for scalable and efficient data accessCollaborate with Data Scientists, Software Engineers, and Architects to integrate data solutions into analytics and applicationsDevelop and optimize data architectures for terabyte-scale relational and distributed systemsImplement Infrastructure as Code (IaC) using Terraform for automated deploymentsEnsure data governance, security, and compliance across all environmentsTranslate business requirements into technical specifications and actionable solutionsDrive performance tuning, indexing strategies, and query optimization for high-volume datasetsAutomate workflows and enforce best practices for data quality and lineage trackingProvide QA and peer review support for team deliverablesProduce clear, structured documentation for processes and solutionsBenefitsAnnual Leave: 25 days + bank holidaysAbility 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 officePension: Hargreaves Lansdown – up to 6% matched contributionEmployee share schemeGenerous family friendly coverPrivate healthcare - BupaIncome protectionCritical illness coverLife insurance coverDental coverOptical coverYulife app for access to employee wellbeing and discountsPerks at Work, cashback/discount shopping siteEmployee referral schemeSalary sacrifice program which includes cycle to work scheme, electric car scheme and season ticket loansVolunteering programCompany events i.e. Christmas party, all-company event and other social/hosted events during the year (we have an active social committee!)Team socials