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.
