Senior Data Engineer

Entain; London; Hybrid; GBP 100,000 - 125,000; Full time

Job summary

A sports data analytics company is seeking a Senior Data Engineer to design and maintain data transformation workflows and develop insightful dashboards. This role requires strong SQL and Python skills, experience with data modeling and analytics tools like Power BI. Join a collaborative team dedicated to delivering innovative analytics solutions, with competitive salary and benefits including hybrid working.

Benefits

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

Qualifications

• Proficient in writing clean, efficient SQL and Python code.
• Strong understanding of data modeling concepts.
• Proficient in building interactive visualizations using Power BI.

Responsibilities

• Design and maintain data transformation pipelines.
• Develop insightful dashboards and reports.
• Collaborate with stakeholders to translate needs into solutions.
• Ensure data quality and consistency.

Skills

SQL programming

Python programming

Data modeling

Power BI

Data visualization

Data pipeline management

Cloud platforms (AWS, Azure, GCP)

API integration

Tools

Apache Airflow

Plotly/Dash

Distributed systems (Spark, Kafka)

Job description

This job is brought to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board.

Company Description

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.

Job Description

The purpose of this role is to design, build, and maintain scalable and efficient data transformation workflows that empower the business with actionable insights and impactful visualisations. This role bridges the gap between data engineering and business intelligence by owning the transformation layer and enabling clear, trusted, and timely analytics across the organisation. The successful candidate will have a strong grasp of modern data modelling practices, analytics tooling, and interactive dashboard development in Power BI and Plotly/Dash.

The key responsibilities of the Senior Data Engineer will include:

• Designing and maintaining robust data transformation pipelines (ELT) using SQL, Apache Airflow, or similar tools • Building and optimizing data models that power dashboards and analytical tools
• Developing clear, insightful, and interactive dashboards and reports using Power BI and Plotly/Dash
• Collaborating closely with stakeholders to understand reporting needs and translate them into analytical solutions
• Ensuring high data quality, consistency, and documentation across business-critical datasets
• Managing the semantic layer and ensuring data definitions are aligned across teams
• Contributing to architecture and platform design decisions, especially regarding the analytics layer
• Driving adoption of best practices in analytics engineering, including version control, testing, and CI/CD for analytics code • Mentoring and coaching junior analytics and data engineers
• Acting as a data evangelist across the company, promoting a self-serve data culture through training and enablement

Qualifications

• Proficient in writing clean, efficient, and maintainable SQL and Python code, particularly for data transformation and analytics use cases
• Strong understanding of data modeling concepts, including star/snowflake schemas and designing models optimized for reporting and dashboarding
• Proficient in analytics tools such as Power BI, Plotly/Dash, or similar for building interactive and impactful visualizations
• Deep experience with modern ELT workflows and transformation tools (e.g., dbt, custom SQL models, etc.) Strong ability to debug and optimize slow or failing data pipelines and queries
• Familiarity with distributed systems (e.g., Spark, Kafka) and how they support scalable analytics solutions Experience designing and integrating with APIs and handling system integrations, including data migrations and networked data sources
• Practical experience with cloud platforms such as AWS, Azure, or GCP, and building scalable, secure data architectures
• Commitment to clean systems and documentation, including logging, reproducibility, and data quality tracking Strong communication and stakeholder engagement skills, with the ability to translate data needs into technical solutions
• Ability to define and implement data quality checks, profiling rules, and reconciliation processes.

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.

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.