Entain is a leading global sports betting and gaming company. This hybrid Data Engineer role in Gibraltar focuses on designing and building scalable, resilient data pipelines and data products that support analytics, marketing effectiveness measurement, and business decision-making across Entain’s digital brands. You will report to the Data Engineering Manager and join the Group Analytics Data Engineering Team, developing the platforms and datasets that enable analysts, data scientists, econometricians and marketing stakeholders to generate insights, optimise performance and drive commercial growth. This role involves transforming complex internal and external data into trusted, business-ready assets, improving data quality, and ensuring alignment with enterprise standards.

Key responsibilities: - Design, build and maintain scalable data pipelines transforming data into reliable data products - Develop data quality frameworks, monitoring and validation processes - Partner with business, marketing and technology teams to translate requirements into solutions - Contribute to solution architecture and own delivery from discovery to implementation - Collaborate with central data, platform and engineering teams - Drive continuous improvement across processes, datasets and tools - Communicate technical concepts clearly to technical and non-technical stakeholders - Champion engineering best practices in testing, observability, documentation and maintainability - Evaluate new data sources, technologies and approaches to expand analytics capabilities - Thrive in a fast-

Entain is a leading global sports betting and gaming company. This hybrid Data Engineer role in Gibraltar focuses on designing and building scalable, resilient data pipelines and data products that support analytics, marketing effectiveness measurement, and business decision-making across Entain’s digital brands. You will report to the Data Engineering Manager and join the Group Analytics Data Engineering Team, developing the platforms and datasets that enable analysts, data scientists, econometricians and marketing stakeholders to generate insights, optimise performance and drive commercial growth. This role involves transforming complex internal and external data into trusted, business-ready assets, improving data quality, and ensuring alignment with enterprise standards.

Key responsibilities: - Design, build and maintain scalable data pipelines transforming data into reliable data products - Develop data quality frameworks, monitoring and validation processes - Partner with business, marketing and technology teams to translate requirements into solutions - Contribute to solution architecture and own delivery from discovery to implementation - Collaborate with central data, platform and engineering teams - Drive continuous improvement across processes, datasets and tools - Communicate technical concepts clearly to technical and non-technical stakeholders - Champion engineering best practices in testing, observability, documentation and maintainability - Evaluate new data sources, technologies and approaches to expand analytics capabilities - Thrive in a fast-