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Early. Similar jobs usually come down between day 6 and day 55.
At Entain, jobs usually come down by about day 7.
From 12,958 similar postings that came down, and 67 of Entain’s. Coming down is not always a hire.
Sofia, Sofia-Capital, Bulgaria
Actively hiring, first seen by us 2 hours agoData 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
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-siteFrom the employer’s posting
Employment type in the employer’s posting: Full-timeFrom the employer’s 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.
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.
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.
From the employer’s posting.
There's nothing like a career at Entain.
In the employer’s words · Read in context
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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 12,958 similar postings that came down, and 67 of Entain’s. Coming down is not always a hire.
8 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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.
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.
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Yes. We’ve followed 5 other Data Engineer jobs there since September 2026. One came down after 8 days. 4 are still up.
Large employers often post one title for several teams, so these can be separate openings.
New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
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.
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.
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.
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:
You Have:
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:
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.
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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.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
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.
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.
- 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.
No clear work-authorization passage found. Eligibility is unconfirmed.