Junior Data Engineer

Angstrom is 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 operate as a semi-autonomous division, 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.

We're proud to be a high-performing, low-ego team where brilliant people are empowered and people work to become brilliant. While we're ambitious and delivery-driven, we take real pride in how we operate and the health of our independent culture, underpinned by mutual trust and respect.

The purpose of the analytics engineer is to design, build, and optimize data models and analytics workflows that enable accurate, timely, and actionable insights across the business. This role bridges the gap between data engineering and analytics, ensuring that data is transformed into well-structured, reliable datasets for reporting, visualization, and advanced analytics. The role holder will focus on creating scalable, maintainable solutions that empower stakeholders to make data-driven decisions efficiently. 

The key responsibilities will include:

• Design and implement data models optimized for analytics and reporting use cases. 
• Develop and maintain ELT/ETL pipelines to transform raw data into curated datasets. 
• Collaborate with analysts and data scientists to understand requirements and deliver high-quality data products. 
• Optimize SQL queries and workflows for performance and scalability. 
• Ensure data quality, consistency, and governance across all analytics layers. 
• Implement best practices for documentation, testing, and reproducibility in analytics workflows. 
• Work with cloud-based tools and services (e.g., AWS S3, Athena, ECS, CloudFormation, Lambdas, CloudWatch) to support analytics infrastructure. 
• Contribute to the development of dashboards and self-service analytics tools. 

Essential:   

• Competent in SQL and Python for data transformation and analytics. 
• Understanding of data modelling concepts (e.g., star schema, dimensional modelling). 
• Experience (1+ year) working with relational databases and designing optimized schemas. 
• Ability to debug and optimize slow queries and inefficient workflows. 
• Familiarity with cloud-based data platforms and services (AWS preferred). 
• Excellent communication skills for collaborating with technical and non-technical stakeholders. 
• Strong problem-solving and analytical mindset. 

Desirable:   

• Experience with BI tools (e.g., Power BI, Plotly/Dash) for visualization. 
• Experience in frontend development – React/Javascript 
• Experience in structuring APIs – Django, Flask, FastAPI 
• Familiarity with distributed systems (e.g., Spark, Kafka) for large-scale analytics. 
• Knowledge of testing practices (e.g., TDD) in data workflows. 
• Passion for clean, well-documented systems and reproducibility. 
• Side projects demonstrating end-to-end analytics solution design.

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.

Depending on your role and location, you can expect to receive benefits like:

• 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.