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Data Engineer

Sofia, Sofia-Capital, Bulgaria

Actively hiring, first seen by us 4 hours ago
Pay
Multiple pay statements — pay source
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:
Group Bonus Plan. €100 monthly food vouchers. Transport and utilities support.
Read the full posting
Work setting
Working pattern needs review — work setting source
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.
Work setup in the employer’s posting: On-site
From the employer’s posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll work on

Full posting
  • 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.

From the employer’s posting
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.

What you’ll bring

All qualifications

Core experience

  • 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.
Qualification wording
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.

Benefits in the posting

Full benefits wording
  • Group Bonus Plan.
  • 25 days' annual leave plus local public holidays.
  • Life assurance and income protection.
  • 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.
  • Company Description

From the employer’s posting.

About Entain

There's nothing like a career at Entain.

In the employer’s words · Read in context

Apply at Entain

Posting record

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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 11, 2026today
Recorded sightings
1

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 0

Early. Similar jobs usually come down between day 6 and day 55.

At Entain, jobs usually come down by about day 7.

From 12,976 similar postings that came down, and 67 of Entain’s. Coming down is not always a hire.

Entain is hiring

8 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Engineer hiring is picking up
  • Takes jobs down quickly
  • 50% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • AWS
  • Azure
  • BigQuery
  • Databricks
  • dbt
  • Docker
  • GCP
  • Prefect
  • Redshift
  • Snowflake
  • Terraform
  • Airflow
  • Dagster
Where the posting names them
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 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.
- 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.
- 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.
- 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.
- 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 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.

Your next step

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Has Entain posted this job before?

Yes. We’ve followed 5 other Data Engineer jobs there since September 2026. One came down after 8 days. 4 are still up.

  1. LondonStill up after 42 days, first seen Sep 30
  2. LondonCame down after 8 days, first seen Nov 3
  3. GibraltarStill up after 0 days, first seen Nov 11
  4. LisbonStill up after 0 days, first seen Nov 11
  5. LondonStill up after 0 days, first seen Nov 11
  6. This jobUp 0 days so far, first seen Nov 11

Large employers often post one title for several teams, so these can be separate openings.

Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 834, the most 1,323, and the latest week had 1,323.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

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

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

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.

Source details

View original posting ↗

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Source excerpts

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Pay
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:
More source context
Group Bonus Plan. €100 monthly food vouchers. Transport and utilities support.
Location & working pattern

Sofia, Sofia-Capital, Bulgaria

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.
More source context
- 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.

More relevant text appears in the full description.

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No clear work-authorization passage found. Eligibility is unconfirmed.

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