Data Engineer

The Data Engineer will design and build scalable, resilient data solutions that power analytics, marketing effectiveness measurement, and decision-making across Entain's digital brands. Reporting to the Data Engineering Manager, the role sits within the Group Analytics Data Engineering Team, which builds and maintains data products and infrastructure for analytics, econometric modelling, marketing optimisation, and regulatory reporting. The role works closely with analysts, data scientists, econometricians, and marketing stakeholders to deliver solutions that improve budget allocation, campaign performance, operational efficiency, and customer outcomes.

• Design, build and maintain scalable data pipelines, transforming complex internal and external data into reliable, business-ready data products.
• Develop and enhance data quality frameworks, monitoring and validation processes to ensure accurate, timely and trusted data.
• Partner with business, marketing and technology teams to translate requirements into effective data solutions and challenge assumptions where needed.
• Contribute to solution architecture and technical design, owning delivery from discovery through to implementation and ongoing support.
• Collaborate with central data, platform and engineering teams to ensure alignment with enterprise standards and strategic objectives.
• Drive continuous improvement across processes, datasets and tools, increasing efficiency, reliability and business value.
• Communicate technical concepts and recommendations clearly to both technical and non-technical stakeholders, including senior leaders.
• Champion engineering best practices in testing, observability, documentation and maintainability to deliver scalable, resilient solutions.
• Evaluate new data sources, technologies and approaches to expand analytical capabilities and shape the future data landscape.
• Help define requirements and deliver pragmatic solutions in a fast-paced environment where processes and ownership models are evolving.

• Strong experience building and maintaining data pipelines using SQL, Python, or similar technologies.
• Experience with modern cloud data platforms, including Snowflake or alternatives such as Databricks, Redshift, Synapse, BigQuery, or Azure Data Lake.
• Experience developing cloud-based solutions using AWS, Azure, or GCP.
• Familiarity with data transformation and ELT frameworks, such as dbt.
• Experience implementing data quality, testing, monitoring, and observability solutions, using tools such as Monte Carlo.
• Experience with workflow orchestration tools such as Prefect, Airflow, Dagster, or Azure Data Factory.
• Understanding of event-driven architectures, distributed data processing, and large-scale data platforms.
• Experience with source control and CI/CD practices using GitLab, GitHub, or Azure DevOps.
• Familiarity with containerisation technologies such as Docker or Podman, and Infrastructure-as-Code tools such as Terraform.
• Strong understanding of data modelling, warehousing, and analytics engineering best practices.

• Experience with Snowflake is preferred, although Databricks, Redshift, Synapse, BigQuery, and Azure Data Lake are accepted alternatives.
• AWS is the preferred cloud provider, with equivalent Azure or GCP experience accepted.
• Experience with dbt is preferred.
• Prefect is the preferred workflow orchestration tool, with Airflow, Dagster, or Azure Data Factory as alternatives.
• GitLab is preferred for source control and CI/CD, with GitHub or Azure DevOps as alternatives.

• Hybrid role.

• A regular bonus and a great pension.
• 25 days annual leave plus local public holidays.
• Extra paid leave, including wellbeing and development days.
• Life assurance and Income Protection.
• Private healthcare and wellbeing support.
• A stake in the company's success through the ShareSave scheme.

Entain is a leading global sports betting and gaming company and a FTSE company with iconic brands including Ladbrokes, Coral, BetMGM, Eurobet and bwin.