Manchester Digital
Regulatory Data Developer (GCP)

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Regulatory Data Developer (GCP)
Regulatory Data Developer
About the Role
As a Regulatory Data Developer, you will play a key role in creating, migrating, and maintaining regulatory reporting systems on Google Cloud Platform (GCP).
The Regulatory Data team is a crucial function of the Data Engineering department, responsible for building and maintaining near real-time and batch reporting systems to fulfil regulatory requirements. The team utilises complex business logic to transform internal data models into those required by industry regulators and third parties.
Using your passion for delivering innovative solutions, you will support our continued migration from on-premise SQL Server systems to GCP as the team creates new GCP reporting systems.
You will support this migration while also developing new cloud-native solutions and exploring AI-driven development and automation to improve efficiency, consistency, and reliability across the team’s processes.
Preferred Skills and Experience
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
- Experience with Google BigQuery
- SQL development experience, with the ability to write:
- Complex queries
- Stored procedures
- Performance-tune data-intensive workloads
- Familiarity with GCP services such as Cloud Storage, Cloud Functions, Pub/Sub, or Cloud Composer
- Experience with:
- Data pipeline development (ETL/ELT)
- Orchestration tooling
- Exposure to:
- Infrastructure as Code (Terraform)
- CI/CD pipelines (Git, GitLab)
- Methodical approach with high attention to detail and the ability to break down complex requirements into simple solutions
- Interest in AI-assisted development tooling, such as Claude Code
- Ability to work to deadlines in a fast-paced, reactive environment
- SQL Server experience to support legacy systems during migration


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Responsibilities
Key Duties
- Developing and maintaining:
- Regulatory data submission systems
- Both existing on-premise and new cloud-based solutions in GCP/BigQuery
- Building and maintaining automated data pipelines for:
- Ingestion
- Transformation
- Loading of regulatory data
- Supporting the migration of legacy SQL Server solutions to BigQuery, collaborating closely with:
- Seniors
- Technical leads on architecture and data modelling
- Implementing:
- Data validation
- Monitoring and alerting to ensure accuracy, consistency, and reliability of regulatory submissions
- Contributing to the team’s automation strategies using AI tooling, such as Claude Code, to reduce manual effort and improve quality
- Participating in code reviews, ensuring adherence to:
- Departmental standards
- Development processes
- Conducting QA to verify that solutions are:
- Accurate
- Efficient
- Performant
- Creating and maintaining relevant documentation
- Collaborating with other team members to deliver high-quality solutions within required timeframes
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