Data Engineer
The purpose of the Data Engineer is to implement and maintain data infrastructure that facilitates data-driven decision making, innovation and operational efficiency while ensuring that the data pipeline is secure, reliable, and scalable. The role holder will build and maintain high-performance data systems that are foundational to driving business growth and success.
- Designing and implementing scalable data architectures and systems.
- Developing and maintaining ETL (Extract, Transform, Load) pipelines.
- Managing data storage, backup, and recovery mechanisms.
- Writing SQL queries to extract data for analysis.
- Developing and implementing data security and privacy.
- Interfacing with clients and end users to receive guidance on projects and deliverables.
- Proficient in writing clean, efficient, and maintainable SQL and Python code, particularly for data transformation and analytics use cases (required).
- Understanding of data modelling concepts and be able to design data models that are optimised for different user cases (required).
- Familiarity with SQL and experience (2+ year) working with and designing relational databases (required).
- Experience (1+ year) implementing data pipelines that run on Kafka or equivalent distributed event store and stream processing platforms (required).
- Ability to debug and optimize failing or slow data pipelines and queries (required).
- Systems integration experience (1+ years): networking, data migrations, API integration and design (required).
- Enthusiasm for clean systems, including documentation, logging, and reproducibility (required).
- Experience (2+ year) working with AWS S3, Athena, ECS, Cloud Formation, Lambdas & Cloudwatch (required).
- Excellent presentation, documentation, time management, communication skills with the ability to work collaboratively and autonomously (required).
- Strong problem-solving skills with a pragmatic and analytical outlook (required).
- Familiar with analytics tools such as Power BI, Apache Superset, or similar for building interactive and impactful visualizations (nice-to-have).
- Familiarity with distributed systems (e.g., Spark, Kafka) and how they support scalable analytics solutions (nice-to-have).
- Passion for TDD (nice-to-have).
- A love of sports (nice-to-have).
- Able to troubleshoot complex problems that arise during the Data Engineering process and be able to find effective solutions (nice-to-have).
- Communicate complex technical concepts to non-technical stakeholders and be able to work effectively with cross functional teams (nice-to-have).
- A side project that illustrates the individual has thought about solution architecture from start to finish (nice-to-have).
- Generous group bonus scheme
- Hybrid working
- Private medical insurance
- Pension Scheme - matched to 6%
- Ability to buy and sell holiday
- Free subscription to wellbeing app Unmind
- Entain & Enhance days
- Sharesave Scheme
Entain is one of the world's largest sports betting and gaming entertainment groups and a FTSE 100 company. Formed when GVC Holdings rebranded as Entain in December 2020, its brands trace their history back to the 1880s and include bwin, Coral, Foxy, Gala, Ladbrokes and partypoker. Through its joint venture with MGM Resorts International, it powers BetMGM in the United States with its proprietary technology. Headquartered in London, Entain employs over 30,000 people with offices across 19 countries.