Data Quality & Governance Engineer

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 seeking a Data Quality drive root‑cause analysis and preventative fixes. Implement and maintain column‑level lineage across batch and streaming pipelines. Enrich metadata (technical, business, operational) and integrate with data catalog and business glossary . Ensure lineage visibility for auditors, stewards, and data product owners. Governance drive adoption with product teams. Mentor engineers/analysts on best practices in DQ, lineage, and governance‑by‑design. Publish dashboards and scorecards for data product quality; present progress to leadership. Requirements 5+ years in Data Engineering, Data Quality, or Data Governance roles with production systems. Strong SQL and hands‑on experience with one or more: Spark/Databricks, dbt, Airflow/Databricks Workflows, Kafka/Kinesis, Python. Experience implementing data quality frameworks and observability (e.g., Great Expectations, Soda, Monte Carlo, Databricks DQ, BigQuery DQ, OpenLineage). Practical knowledge of catalogs/lineage tools (e.g., Collibra, Alation, Purview, DataHub, Atlan). Understanding of governance frameworks (data classification, glossary, stewardship, ownership, access controls). Solid grasp of privacy anticipates audit and compliance needs. Collaboration: Works cross‑functionally with platform, analytics, InfoSec, and Legal. The Benefits Ability to buy and sell holiday days as well as the ability to bank days (tenure dependent) Flexible working options: we are operating a hybrid working model with 3 days a week from the office Pension: Hargreaves Lansdown – 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!) #J-18808-Ljbffr