1 month ago
London, United KingdomMid Level
Responsibilities
- Design and implement scalable data architectures and systems.
- Develop and maintain ETL pipelines using distributed event stores and stream-processing platforms.
- Manage data storage, backup, and recovery mechanisms.
- Write SQL queries and develop Python code for data transformation and analytics.
- Design optimized data models and relational database systems.
- Implement data security and privacy practices.
- Debug and optimize failing or slow data pipelines and queries.
- Perform systems integration involving networking, data migrations, and API integration and design.
- Document systems and maintain logging and reproducibility.
- Interface with clients and end users to understand project guidance and deliverables.
- Communicate technical concepts to non-technical stakeholders and collaborate with cross-functional teams.
Requirements
- Proficiency in clean, efficient, and maintainable SQL and Python, particularly for data transformation and analytics.
- At least two years of experience working with and designing relational databases.
- At least one year of experience implementing data pipelines on Kafka or an equivalent distributed event store and stream-processing platform.
- At least one year of systems integration experience involving networking, data migrations, and API integration and design.
- At least two years of experience working with AWS S3, Athena, ECS, CloudFormation, Lambda, and CloudWatch.
- Understanding of data modeling concepts and the ability to design models optimized for different use cases.
- Ability to troubleshoot and optimize complex data pipelines and queries.
- Excellent presentation, documentation, time management, and communication skills, with the ability to work collaboratively and autonomously.
- Familiarity with Power BI, Apache Superset, or similar analytics visualization tools is desirable.
- Familiarity with distributed systems such as Spark and Kafka is desirable.
- A side project demonstrating solution architecture from start to finish is desirable.
- A passion for sports is desirable.
Benefits
- Competitive salary, with the posting noting that compensation depends on role and location.
- Generous group bonus scheme.
- Hybrid working.
- Private medical insurance.
- Pension scheme matched to 6%.
- Ability to buy and sell holiday.
- Free subscription to the Unmind wellbeing app.
- Entain & Enhance days.
- Sharesave scheme.
- Inclusive and supportive workplace with recruitment adjustments or accommodations available upon request.
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.