AI&Data Architecture Senior Manager
Accenture
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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.
Apply now Full-time Closes 11/11/2026Our 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
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
Modernise legacy SQL Server reporting solutions into scalable, cloud-native GCP architectures
Deliver data-quality checks, reconciliation controls, monitoring and operational safeguards
Embed engineering standards including version control, automated testing, CI/CD and documentation
Review the regulatory data estate to reduce technical debt, remove duplication and simplify architectures
Mentor and support engineers through technical guidance, code reviews and constructive feedback
Work with Team Leads, Technical Leads and Product stakeholders to align delivery plans
Utilise AI-assisted development tools to increase engineering quality, efficiency and consistency
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.
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
Bonus
Eye care and Flu Vaccinations
Life Assurance
Matched pension contribution
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