11 hours ago
London, United KingdomSenior
Responsibilities
- Design, build, and maintain scalable data pipelines that transform internal and external data into reliable data products.
- Develop data quality frameworks, monitoring, validation, testing, and observability processes.
- Translate business and stakeholder requirements into effective data solutions and challenge assumptions where appropriate.
- Contribute to solution architecture and technical design, owning delivery from discovery through implementation and ongoing support.
- Collaborate with central data, platform, and engineering teams to align with enterprise standards and strategic objectives.
- Drive continuous improvement across data processes, datasets, and tools to improve efficiency, reliability, and business value.
- Communicate technical concepts and recommendations to technical and non-technical stakeholders, including senior leaders.
- Evaluate new data sources, technologies, and approaches to expand analytical capabilities and shape the data landscape.
Requirements
- Strong experience building and maintaining data pipelines using SQL, Python, or similar technologies.
- Experience with modern cloud data platforms, ideally Snowflake, or alternatives including Databricks, Redshift, Synapse, BigQuery, or Azure Data Lake.
- Experience developing cloud-based solutions, preferably with AWS or equivalent experience in Azure or GCP.
- Familiarity with data transformation and ELT frameworks, ideally dbt.
- Experience implementing data quality, testing, monitoring, and observability solutions, including tools such as Monte Carlo.
- Experience with workflow orchestration tools, preferably Prefect, or alternatives including 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 tools such as 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.
- Excellent stakeholder management and communication skills, with the ability to translate business requirements into scalable technical solutions.
Benefits
- Hybrid work arrangement.
- Regular bonus and pension.
- 25 days of annual leave plus bank holidays.
- Additional paid leave, including wellbeing and development days.
- Life assurance and income protection.
- Private healthcare and wellbeing support.
- ShareSave scheme providing a stake in the company’s success.
- Reasonable adjustments and support throughout the recruitment process.
Tech Stack
Categories
Data Engineering
About Entain
Entain is a London-headquartered, LSE-listed FTSE 100 sports betting and gaming group. It operates online sportsbooks, casino, poker and bingo, and runs retail betting shops, under brands including Ladbrokes, Coral, bwin, and a U.S. joint venture, BetMGM, with MGM Resorts. Revenue comes from consumer wagering across regulated markets, supported by proprietary technology platforms.