Data Engineer

This is a hybrid role. As a Data Engineer , you will be responsible for designing and building scalable, resilient data solutions that power analytics, marketing effectiveness measurement, and decision-making across Entain's industry-leading digital brands. You'll work at the heart of our data ecosystem, creating the platforms and datasets that enable teams to generate insights, optimise performance, and drive commercial growth. Reporting to the Data Engineering Manager , you will be part of the Group Analytics Data Engineering Team , who build and maintain the data products and infrastructure that support analytics, econometric modelling, marketing optimisation, and regulatory reporting across the business. Working closely with analysts, data scientists, econometricians, and marketing stakeholders, you'll help deliver robust data solutions that improve budget allocation, campaign performance, operational efficiency, and customer outcomes. Data and Analytics play a transformational role in how we create value today and shape our future. We have a bold ambition to become a world-class data and analytics organisation, helping our teams make smarter decisions and deliver better outcomes for our customers. This is an exciting opportunity to join a team that combines deep technical expertise with real business impact, working on large-scale data challenges that directly influence how we invest, grow, and innovate. If you're passionate about building high-quality data products and want to help shape the future of data-driven decision-making at Entain, we'd love to hear from you. Could this be your next challenge? You Will: • Design, build and maintain scalable data pipelines, transforming complex internal and external data into reliable, business-ready data products. • Develop and enhance data quality frameworks, monitoring and validation processes to ensure accurate, timely and trusted data. • Partner with business, marketing and technology teams to translate requirements into effective data solutions and challenge assumptions where needed. • Contribute to solution architecture and technical design, owning delivery from discovery through to implementation and ongoing support. • Collaborate with central data, platform and engineering teams to ensure alignment with enterprise standards and strategic objectives. • Drive continuous improvement across processes, datasets and tools, increasing efficiency, reliability and business value. • Communicate technical concepts and recommendations clearly to both technical and non-technical stakeholders, including senior leaders. • Champion engineering best practices in testing, observability, documentation and maintainability to deliver scalable, resilient solutions. • Evaluate new data sources, technologies and approaches to expand analytical capabilities and shape the future data landscape. • Thrive in a fast-paced environment, helping define requirements and deliver pragmatic solutions where processes and ownership models are evolving.