Data Engineer

Entain · Lisbon, Lisbon District, Portugal

  • Junior
  • Full-time
  • Posted 2026-11-11
  • Confirmed live on 12 November 2026

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Job description

Job Description
This is a hybrid role. As a Data Engineer, you will be responsible for designing and building scalable, resilient data solutions that power analytics, reporting, and decision-making across Entain's industry-leading digital brands. You'll work at the heart of our data ecosystem, creating the platforms and datasets that enable teams to generate insights, optimise performance, and drive commercial growth.
Reporting to the Data Engineering Manager, you will be part of the Group Analytics Data Science Team, who build and maintain the data products and infrastructure that support analytics, operations optimization, safer gambling, and regulatory reporting across the business. Working closely with analysts, data scientists, and senior stakeholders, you'll help deliver robust data solutions that improve analytics, operational efficiency and customer protection and.
Data and Analytics play a transformational role in how we create value today and shape our future. We have a bold ambition to become a world-class data and analytics organisation, helping our teams make smarter decisions and deliver better outcomes for our customers. This is an exciting opportunity to join a team that combines deep technical expertise with real business impact, working on large-scale data challenges that directly influence how we invest, grow, and innovate. If you're passionate about building high-quality data products and want to help shape the future of data-driven decision-making at Entain, we'd love to hear from you. Could this be your next challenge?
Salary range starting from 45,000 EUR

You Will:

• 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, senior stakeholders 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.

Qualifications
You Have:

• 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.

• Excellent stakeholder management and communication skills, with the ability to translate business requirements into scalable technical solutions.

Additional Information
Benefits
At Entain, we know that signing top players requires a great starting package, and plenty of support to inspire you. Join us, and a great compensation package is just the beginning. You can expect to receive benefits like:

• A regular bonus and great pension.

• €9.60 food vouchers per day.

• 25 days annual leave

• Extra paid leave, including wellbeing and development days.

• Private healthcare and wellbeing support.

• A stake in our success through our ShareSave scheme.
How we use Artificial Intelligence (AI) in recruitment
We may use approved AI tools to make recruitment simpler and more efficient, while keeping people at the heart of what we do. These tools support our teams and give them more time to focus on you.
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