At a Glance
- Tasks: Build and maintain data systems that drive innovation and operational efficiency.
- Company: Join Angstrom Sports, a pioneer in sports pricing and risk systems.
- Benefits: Competitive salary, hybrid working, private medical insurance, and generous bonuses.
- Other info: Be part of an inclusive community that celebrates individuality and supports your growth.
- Why this job: Make an impact in the exciting world of sports betting with cutting-edge technology.
- Qualifications: Proficient in SQL and Python, with experience in data pipelines and AWS.
The predicted salary is between 60750 - 74250 £ per year.
This role is for Angstrom Sports, a proprietary sports pricing and product provider, building intricate, simulation driven pricing and risk systems to support the success of key sports brands across the Entain group. Founded in 2018 and having established itself as a pioneer in player-level, play-by-play simulations and forecasting, Angstrom was acquired by Entain in 2023. Today, we are responsible for delivering the group’s most advanced pricing and risk capabilities with a focus on the US market. We’re committed to building the next generation of sports betting products - sports-first, recreationally-focused, and designed to make betting more engaging, more intelligent, and more fun.
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
Qualifications
Essential:
- Proficient in writing clean, efficient, and maintainable SQL and Python code, particularly for data transformation and analytics use cases
- Understanding of data modelling concepts and be able to design data models that are optimised for different user cases
- Familiarity with SQL and experience (2+ years) working with and designing relational databases
- Experience (1+ year) implementing data pipelines that run on Kafka or equivalent distributed event store and stream processing platforms
- Ability to debug and optimize failing or slow data pipelines and queries
- Systems integration experience (1+ years): networking, data migrations, API integration and design
- Experience (2+ years) working with AWS S3, Athena, ECS, Cloud Formation, Lambdas & Cloudwatch
Desirable:
- Familiar with analytics tools such as Power BI, Apache Superset, or similar for building interactive and impactful visualizations
- Familiarity with distributed systems (e.g., Spark, Kafka) and how they support scalable analytics solutions
- Passion for TDD
- A love of sports
- Able to troubleshoot complex problems that arise during the Data Engineering process and be able to find effective solutions
- A side project that illustrates the individual has thought about solution architecture from start to finish
Additional Information
At Entain, we know that signing top players requires a great starting package, and plenty of support to inspire peak performance. Join us, and a competitive salary is just the beginning.
- 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
Join a winning team of talented people and be a part of an inclusive and supporting community where everyone is celebrated for being themselves. Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us.
Data Engineer (AWS, SQL) employer: Entain
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StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (AWS, SQL)
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We think you need these skills to ace Data Engineer (AWS, SQL)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
