Live opening · Posted 10 hours ago

Senior Regulatory Data Developer

bet365 · Manchester, England, United Kingdom
Smartrecruiters Hybrid Full-time
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At a glance

The key details from the original listing.

Posted 10 hours ago
Companybet365
LocationManchester, England, United Kingdom
Job typeFull-time
Work modeHybrid
SkillsGCP
SourceSmartrecruiters
ListedPosted 10 hours ago

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About the role

Description supplied by the original job listing.

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.
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
Orchestration expertise for scheduled and dependency-driven data workloads
Solid understanding of software engineering practices including CI/CD, testing, code review and observability
Track record of leading technical designs, data models and delivery planning for major workstreams
Assertive approach to assessing existing systems and driving sustainable improvements

Employment type
Full-time

Work arrangement
Hybrid

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