7 hours ago
London, United KingdomSenior
Responsibilities
- Lead implementation of scalable data architectures and pipelines across the data platform.
- Set the technical direction for data engineering and ensure solutions are performant, maintainable, reliable, and cost-efficient.
- Define engineering standards, architecture, patterns, frameworks, and best practices for modelling, delivery, testing, and DataOps.
- Lead complex, cross-domain data programs and collaborate across multiple teams.
- Translate organizational needs into technical data solutions and platform capabilities.
- Work with analytics teams to make data accessible, well-structured, and fit for analytical use.
- Improve platform performance, scalability, reliability, and cost optimization.
- Champion data governance, security, access control, and regulatory compliance within engineering practices.
- Mentor engineers and contribute to code reviews, design reviews, and technical decision-making forums.
- Influence tooling, frameworks, and engineering approaches while collaborating with engineering, analytics, and product teams.
Requirements
- Expertise in data engineering, including data pipelines, data modelling, and platform architecture.
- Advanced SQL and programming capability in languages such as Python or R.
- Experience designing scalable, production-grade data systems and applying data-processing best practices at industrial scale.
- Experience with cloud data platforms such as Snowflake and Databricks, and cloud technologies including Amazon Web Services, Google Cloud Platform, and Azure.
- Experience defining and implementing engineering standards, frameworks, and best practices, including SDLC, CI/CD, and QA frameworks.
- Knowledge of CI/CD, orchestration, and DataOps principles.
- Ability to optimize data-platform performance, cost, and reliability.
- Experience embedding data governance, security, and compliance into engineering practices.
- Ability to adapt to new technologies, address technical challenges, and improve customer and product outcomes.
Benefits
- Hybrid work arrangement.
- Regular bonus and pension.
- 25 days of annual leave plus bank holidays.
- Additional paid wellbeing and development days.
- Life assurance and income protection.
- Private healthcare and wellbeing support.
- ShareSave scheme participation.
- Reasonable adjustments and support throughout the recruitment process.
Tech Stack
Categories
Data Engineering
About Entain
Entain is a London-headquartered, LSE-listed FTSE 100 sports betting and gaming group. It operates online sportsbooks, casino, poker and bingo, and runs retail betting shops, under brands including Ladbrokes, Coral, bwin, and a U.S. joint venture, BetMGM, with MGM Resorts. Revenue comes from consumer wagering across regulated markets, supported by proprietary technology platforms.