Data & Analytics Engineer

As a Data & Analytics Engineer at Entain, you will shape and lead scalable data architectures and pipelines across the platform. You’ll set engineering standards, drive data solutions, and partner with senior teams to deliver cross-domain programs. You’ll optimize performance, cost, governance, and security while mentoring engineers. This role sits at the intersection of data, analytics, and product, offering scope to influence platform capabilities and innovative data practices.

• regular bonus
• pension
• 25 days annual leave
• wellbeing and development days
• life assurance
• income protection

• Lead implementation of scalable data architectures and pipelines
• Define engineering standards, patterns, and best practices (modelling, CI/CD, DataOps, testing)
• Lead delivery of complex, cross-domain data programs across teams
• Partner with senior stakeholders to translate needs into technical data solutions
• Ensure data is accessible, well-structured and fit for analytics
• Improve platform performance, cost optimisation (FinOps) and scalability
• Champion data governance, security, and compliance in engineering practices
• Provide technical mentorship and support engineering development
• Contribute to code reviews, design reviews, and technical decision forums
• Influence tooling, frameworks, and approaches to enhance engineering capability
• Collaborate with engineering, analytics, and product teams to deliver integrated data solutions
• Stay informed on industry trends and bring relevant innovations

• Expertise in data engineering, including pipelines, modelling, and platform architecture
• Advanced SQL and programming capability (Python, R)
• Experience designing scalable production-grade data systems
• Experience with cloud data platforms (Snowflake, Databricks) and cloud tech (AWS, GCP, Azure)
• Experience defining engineering standards, SDLC, CI/CD, QA frameworks
• Knowledge of CI/CD, orchestration, and DataOps
• Ability to unblock challenges and think outside the box
• High skill in delivering good customer-focused end-to-end experiences
• Adaptability to a dynamic, agile environment
• Proactive ideas to derive more value and improve customer journey
• Experience with data governance, security, and compliance

• Collaborative and cross-functional teamwork
• Creative problem-solving
• Proactive idea generation
• SQL
• Python
• R