Stoke-on-Trent, England, United Kingdom
Likely evergreen, first seen by us todayWork 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
Build automated pipelines to ingest, transform and load regulatory data
Migrate legacy SQL Server reporting solutions to BigQuery
Implement validation checks, monitoring and alerting for submission accuracy
Develop and maintain regulatory submission systems on SQL Server and BigQuery
Run QA to confirm solutions are accurate, performant and regulation-aligned
Building automated pipelines for ingesting, transforming and loading regulatory data.
Supporting the migration of legacy reporting solutions to BigQuery through data modelling and technical delivery.
Implementing validation checks, monitoring and alerting to protect submission accuracy and reliability.
Developing and maintaining regulatory data submission systems across on-premise SQL Server and GCP BigQuery platforms.
Conducting QA to confirm solutions are accurate, performant and aligned to regulatory requirements.
Experience of building ETL or ELT data pipelines.
Familiarity with SQL Server in support of legacy systems.
Experience with Infrastructure as Code, such as Terraform.
Likely evergreenReposted 2 times since Sep 9, 2026. A role that keeps coming back is often kept open to collect applications rather than to fill one seat.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
Day 0
Early. Similar jobs usually come down between day 6 and day 54.
At Bet365 Group, jobs usually come down by about day 20.
From 11,032 similar postings that came down, and 55 of Bet365 Group’s. Coming down is not always a hire.
17 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.
The Regulatory Data team within Data Engineering builds and maintains near real-time and batch reporting systems that support regulatory submissions and third-party reporting. This role focuses on transforming complex internal data models into regulator-ready outputs, with a strong emphasis on accuracy, traceability and performance. You will support the migration of legacy SQL Server solutions to GCP, while helping to design and deliver new cloud-native reporting systems in BigQuery. The work spans data modelling, pipeline development, validation and automation, with AI-assisted development also playing a part in improving consistency and reducing manual effort. Qualifications
- Strong Google BigQuery experience. - Advanced SQL development skills, including complex queries, stored procedures and performance tuning. - Working knowledge of GCP services such as Cloud Storage, Cloud Functions, Pub/Sub or Cloud Composer.
- Exposure to orchestration tooling for scheduled and dependency-driven workloads. - Familiarity with SQL Server in support of legacy systems. - Experience with Infrastructure as Code, such as Terraform.
Additional Information - Developing and maintaining regulatory data submission systems across on-premise SQL Server and GCP BigQuery platforms. - Building automated pipelines for ingesting, transforming and loading regulatory data.
Qualifications - Strong Google BigQuery experience. - Advanced SQL development skills, including complex queries, stored procedures and performance tuning.
- Building automated pipelines for ingesting, transforming and loading regulatory data. - Supporting the migration of legacy reporting solutions to BigQuery through data modelling and technical delivery. - Implementing validation checks, monitoring and alerting to protect submission accuracy and reliability.
- Advanced SQL development skills, including complex queries, stored procedures and performance tuning. - Working knowledge of GCP services such as Cloud Storage, Cloud Functions, Pub/Sub or Cloud Composer. - Experience of building ETL or ELT data pipelines.
- Familiarity with SQL Server in support of legacy systems. - Experience with Infrastructure as Code, such as Terraform. - Exposure to CI/CD pipelines and version control tools such as Git and GitLab.
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Yes. We’ve followed 5 other Regulatory Data Developer (GCP) jobs there since September 2026. 4 came down, usually after about 28 days. One is still up.
If this one keeps the same pace, it may come down around December 2.
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 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 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.
As a Regulatory Data Developer, you will shape the reporting systems that keep our regulatory data accurate, timely and ready for change.
The Regulatory Data team within Data Engineering builds and maintains near real-time and batch reporting systems that support regulatory submissions and third-party reporting. This role focuses on transforming complex internal data models into regulator-ready outputs, with a strong emphasis on accuracy, traceability and performance.
You will support the migration of legacy SQL Server solutions to GCP, while helping to design and deliver new cloud-native reporting systems in BigQuery. The work spans data modelling, pipeline development, validation and automation, with AI-assisted development also playing a part in improving consistency and reducing manual effort.
By applying to us you are agreeing to share your Personal Data in accordance with our Recruitment Privacy Notice - https://www.bet365careers.com/privacy-policy
At bet365, we're committed to creating an environment where everyone feels welcome, respected and valued. Where all individuals can grow and develop, regardless of their background. We're Never Ordinary, and we're always striving to be better. If you need any adjustments or accommodations to the recruitment process, at either application or interview, please don’t hesitate to reach out.
We’re one of the world’s leading online gambling companies, revolutionising the industry since 2000. Founded by Denise Coates CBE, we now employ over 10,000 people and serve over 120 million customers in 26 languages.
We empower our employees to push boundaries and explore new ideas, cultivating a culture that celebrates and rewards creativity. This offers employees a wealth of growth opportunities, giving them the opportunity to make a real impact in the world of online gambling. As a forward-thinking company, we’re breaking new ground in software innovation too, redefining what’s possible for our global worldwide.
Our focus on In-Play betting has solidified our market-leading position, featuring more than 1.38 million In-Play sporting events a year. With over 750 concurrent sporting fixtures at peak and more live sports streamed than anyone else in Europe (750,000), we handle over 6 million HTTP requests daily and process more than 1.5 million bets per hour at peak.
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Stoke-on-Trent, England, United Kingdom
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