Data Engineer
Core
Design and build scalable, resilient data pipelines and platforms that power analytics, marketing effectiveness measurement, and decision-making for Entain's digital brands.
Role type
Senior Data Engineer
Builds
Scalable data pipelines, data quality frameworks, and business-ready data products
Domain
Sports betting and gaming / Cloud Data Engineering
Deliverable
production ML models
Required skills
SQL, Python, Cloud data platforms (Snowflake, Databricks, Redshift, Synapse, BigQuery, Azure Data Lake), AWS, ELT frameworks (dbt), Data quality monitoring (Monte Carlo), Workflow orchestration (Prefect, Airflow, Dagster, Azure Data Factory), Event-driven architectures, CI/CD (GitLab, GitHub, Azure DevOps), Containerization (Docker, Podman), Infrastructure-as-Code (Terraform), Data modelling
Preferred skills
Stakeholder management, Technical communication
Technologies
Snowflake, Databricks, Redshift, Synapse, BigQuery, Azure Data Lake, AWS, dbt, Monte Carlo, Prefect, Airflow, Dagster, Azure Data Factory, GitLab, GitHub, Azure DevOps, Docker, Podman, Terraform
Responsibilities
Design and maintain scalable data pipelines; Develop data quality frameworks and monitoring processes; Partner with business and tech teams to translate requirements; Contribute to solution architecture and technical design; Collaborate with central data and engineering teams; Drive continuous improvement in processes and tools
Seniority
Senior, hands-on IC
