Stoke-on-Trent, England, United Kingdom
Live, first seen by us 24 days agoEmployment type in the employer’s posting: Full-timeFrom the employer’s posting
Modernise legacy SQL Server reporting solutions into cloud-native GCP architectures
Build resilient ETL and ELT pipelines for ingestion, transformation and validation
Deliver data-quality checks, reconciliation controls and monitoring
Lead regulatory data projects from planning through operational delivery
Mentor engineers through technical guidance and code reviews
Modernise legacy SQL Server reporting solutions into scalable, cloud-native GCP architectures
Build resilient ETL and ELT pipelines for data ingestion, transformation and validation
Deliver data-quality checks, reconciliation controls, monitoring and operational safeguards
Lead regulatory data projects and major workstreams from planning through to operational delivery
Mentor and support engineers through technical guidance, code reviews and constructive feedback
Strong experience in Google BigQuery and Dataform, including data modelling and query optimisation
Solid understanding of software engineering practices including CI/CD, testing, code review and observability
Practical knowledge of GCP services such as Cloud Storage, Cloud Functions, Pub/Sub and Cloud Composer
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Our Data Engineering department powers high-volume data platforms that support 24/7 global operations. Within this function, the Regulatory Data team builds and maintains batch and near real-time pipelines that transform complex operational data into precise reporting outputs. In this hands-on technical role, you’ll lead the modernisation of legacy SQL Server systems into Google Cloud Platform architectures. You’ll design scalable BigQuery and Dataform pipelines, mentor engineers, and adopt AI-assisted development tools to drive engineering quality across our reporting estate. This role is eligible for inclusion in our hybrid work from home policy.
- Strong experience in Google BigQuery and Dataform, including data modelling and query optimisation - Advanced SQL capabilities, covering complex queries, stored procedures and performance tuning - Proven track record designing, building and supporting ETL or ELT pipelines
- Practical knowledge of GCP services such as Cloud Storage, Cloud Functions, Pub/Sub and Cloud Composer - Background in modernising or supporting SQL Server reporting solutions - Working familiarity with AI-assisted development tools such as Claude Code or similar coding assistants
- Lead regulatory data projects and major workstreams from planning through to operational delivery - Design, develop and maintain robust reporting systems across SQL Server and Google Cloud Platform - Build resilient ETL and ELT pipelines for data ingestion, transformation and validation
- Build resilient ETL and ELT pipelines for data ingestion, transformation and validation - Modernise legacy SQL Server reporting solutions into scalable, cloud-native GCP architectures - Deliver data-quality checks, reconciliation controls, monitoring and operational safeguards
Qualifications - Strong experience in Google BigQuery and Dataform, including data modelling and query optimisation - Advanced SQL capabilities, covering complex queries, stored procedures and performance tuning
- Proven track record designing, building and supporting ETL or ELT pipelines - Practical knowledge of GCP services such as Cloud Storage, Cloud Functions, Pub/Sub and Cloud Composer - Background in modernising or supporting SQL Server reporting solutions
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Yes. We’ve followed one other Senior Regulatory Data Developer job there since October 2026. It is still up.
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 Senior Regulatory Data Developer, you'll modernise complex reporting pipelines and build scalable cloud architectures that process high-volume data with pinpoint accuracy.
Our Data Engineering department powers high-volume data platforms that support 24/7 global operations. Within this function, the Regulatory Data team builds and maintains batch and near real-time pipelines that transform complex operational data into precise reporting outputs.
In this hands-on technical role, you’ll lead the modernisation of legacy SQL Server systems into Google Cloud Platform architectures. You’ll design scalable BigQuery and Dataform pipelines, mentor engineers, and adopt AI-assisted development tools to drive engineering quality across our reporting estate.
This role is eligible for inclusion in our hybrid work from home policy.
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 and gaming. As a forward-thinking company, we’re breaking new ground in software innovation too, redefining what’s possible for our customers 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
In this hands-on technical role, you’ll lead the modernisation of legacy SQL Server systems into Google Cloud Platform architectures. You’ll design scalable BigQuery and Dataform pipelines, mentor engineers, and adopt AI-assisted development tools to drive engineering quality across our reporting estate. This role is eligible for inclusion in our hybrid work from home policy. Qualifications
No clear work-authorization passage found. Eligibility is unconfirmed.