Data & Analytics Engineer

This is a hybrid role within the Data & Analytics department, reporting to the Head of Data & Analytics. The Data & Analytics Engineer provides technical leadership across the data platform, defining engineering standards and architecture whilst delivering complex data solutions. The role involves leading technical direction and delivery across multiple teams and domains, and collaborating with engineering, analytics and product teams.

• Lead the implementation of scalable data architectures and pipelines across the platform.
• Lead the technical direction for data engineering, ensuring solutions are performant, maintainable and cost-efficient.
• Shape engineering standards, patterns and best practices, including modelling, CI/CD, DataOps and testing.
• Lead the delivery of complex, cross-domain data programmes, working across multiple teams.
• Partner with senior partners to translate needs into technical data solutions and platform capabilities, and work with analytics teams to ensure data is accessible, well-structured and fit for analytical use.
• Improve platform performance, cost optimisation (FinOps) and scalability, and resolve systemic data issues to improve reliability across the platform.
• Champion data governance, security and compliance within engineering practices, ensuring data is handled following organisational standards for security, access control and regulatory compliance.
• Act as a technical mentor, supporting the development of engineers across the team, and contribute to code reviews, design reviews and technical decision-making forums.
• Influence tooling, frameworks and approaches to improve engineering capability, and collaborate across engineering, analytics and product teams to deliver integrated, high-quality data solutions.
• Stay informed on industry trends and latest technologies, bringing relevant innovation into the organisation.

• Expertise in data engineering, including data pipelines, modelling and platform architecture.
• Advanced SQL and programming capability (e.g. Python, R).
• Experience designing scalable, production-grade data systems implementing best practices around data processing on an industrial scale.
• Experience with cloud data platforms (e.g. Snowflake, Databricks) and other cloud technologies such as Amazon Web Services, Google Cloud Platform and Azure.
• Experience defining and implementing engineering standards, frameworks and best practices, including Software Data Life Cycle (SDLC), CI/CD and QA frameworks.
• Knowledge of CI/CD, orchestration and DataOps principles.
• Ability to think outside the box to unblock yourself and other members of the squad when challenges arise.
• Demonstrate a high level of skillfulness about your work, the end experience of the customer and effect on overall product.
• Ability to adapt to new technologies and technical challenges, working in a dynamic and agile organisation.
• Always suggest ideas and make changes to lead more value from the daily role, or improve the customer journey.
• Optimise performance, cost and reliability in data platforms to keep costs to a minimum whilst delivering as performant as possible.
• Experience with data governance, security and compliance, with the ability to embed these in engineering practices.

• A regular bonus and great pension.
• 25 days annual leave and all bank holidays.
• Extra paid leave, including wellbeing and development days.
• Life assurance and Income Protection.
• Private healthcare and wellbeing support.
• A stake in our success through our ShareSave scheme.

Entain is a leading, global sports betting and gaming company and a FTSE company with iconic brands including Ladbrokes, Coral, BetMGM, Eurobet and bwin.