Additionalinformation

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:

• Group Bonus Plan.
• €100 monthly food vouchers.
• Transport and utilities support.
• 25 days' annual leave plus local public holidays.
• 5 additional paid days off for volunteering, learning and Game Day in December.
• Hybrid working with 2+ office days per week, plus fully remote working across August from anywhere in Bulgaria.
• ShareSave scheme.
• Life assurance and income protection.

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.

Fairness, transparency and trust

Our recruiters and hiring managers oversee how we use AI and remain responsible for hiring decisions. These tools support administrative aspects of the recruitment process, giving our teams more time to focus on you We're open about its use and handle your information following our Job Applicant Privacy Notice. AI supports our decisions, it doesn't make them.

Equal Opportunities.

If you need any reasonable adjustments at any stage of the recruitment process, please contact us and we'll support you.

We're committed to creating a diverse, equitable and inclusive workplace where everyone feels valued, respected and able to be themselves.

We're an equal opportunities employer. We welcome applications from everyone and we do not discriminate based on age, disability, gender or gender reassignment, pregnancy or maternity, race, religion or belief, sexual orientation, marriage/civil partnership, or any other basis.

We comply with all applicable recruitment regulations and employment laws in the jurisdictions where we operate, ensuring ethical and compliant hiring practices globally.

#LI-Hybrid

Companydescription

Company Description

About Entain

There's nothing like a career at Entain. We're a leading, global sports betting and gaming company and we're upping the excitement and increasing player safety. We're a FTSE company with iconic brands including Ladbrokes, Coral, BetMGM, Eurobet and bwin, and we have an energy that drives us to perform at the height of our potential. Whether you're an engineer, marketer or retail specialist, a career here is a complete game changer.

Jobdescription

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?

The starting salary for this position is 50,000 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