Data Engineer — Hybrid: Build Scalable Data Pipelines

Entain Italia; United Kingdom; Hybrid; GBP 65,000 - 98,000; Full time

Benefits offered by this job

Bonus

Pension

Private healthcare

Wellbeing support

ShareSave

Annual leave 25 days

Job summary

Entain is seeking a Data Engineer for a hybrid role to design and build scalable, resilient data solutions powering analytics, marketing effectiveness, and decision-making across Entain's digital brands.

You will join the Group Analytics Data Engineering Team, reporting to the Data Engineering Manager, and collaborate with analysts, data scientists, and marketing stakeholders to deliver robust data products that enable smarter decisions and growth.

Qualifications

• Strong experience building and maintaining data pipelines using SQL, Python, or similar technologies.
• Experience with modern cloud data platforms, ideally Snowflake, or alternatives such as Databricks, Redshift, Synapse, BigQuery, or Azure Data Lake.
• Experience developing cloud-based solutions, with AWS preferred, 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, with tools such as Monte Carlo.
• Experience with workflow orchestration tools, preferably Prefect, or alternatives such as 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, ideally 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.

Responsibilities

• 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.
• Thrive in a fast-paced environment, helping define requirements and deliver pragmatic solutions where processes and ownership models are evolving.

Skills

SQL

Python

Cloud data platforms

AWS

dbt

Data quality & observability

Workflow orchestration

CI/CD

Docker/Containerisation

Terraform

Data modelling & warehousing

Tools

Snowflake

Databricks

Redshift

Synapse

BigQuery

Azure Data Lake

GitLab

GitHub

Azure DevOps

Docker

Job description

Entain is seeking a Data Engineer for a hybrid role to design and build scalable, resilient data solutions powering analytics, marketing effectiveness, and decision-making across Entain's digital brands.

You will join the Group Analytics Data Engineering Team, reporting to the Data Engineering Manager, and collaborate with analysts, data scientists, and marketing stakeholders to deliver robust data products that enable smarter decisions and growth.