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Data Migration Engineer (Azure / NoSQL / CosmosDB)

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About the Company
Role: Data Engineer – NoSQL, Data Modelling & Data Integration
Location: 2 days on site, London
Clearance: BPSS
About the Role
We are looking for a skilled Data Engineer with strong expertise in data modelling, working with NoSQL databases (Azure Cosmos DB), and hands-on experience in data contract design and data migration. The ideal candidate will also have working knowledge of Azure Data Factory (ADF) and SQL, and will play a key role in designing scalable data models, pipelines, and integration solutions.
Responsibilities
- Design and maintain conceptual, logical, and physical data models.
- Design, develop, and manage NoSQL implementations using Azure Cosmos DB, ensuring performance, scalability, and cost efficiency (partitioning strategy, indexing, RU optimization).
- Define and implement data contracts to ensure consistency, quality, and governance across upstream and downstream systems.
- Lead and support data migration projects, including planning, execution, validation, and reconciliation between source and target systems.
- Build and orchestrate ETL/ELT pipelines using Azure Data Factory (ADF).
- Write and optimize SQL queries, stored procedures, and views for relational data processing and reporting.
- Translate business requirements into scalable, well-documented data models and schemas.
- Collaborate with data architects, analysts, and business stakeholders to align data models with reporting and application needs.
- Monitor and troubleshoot data pipelines, resolving performance bottlenecks and data quality issues.
- Ensure adherence to data security, compliance, and governance standards.
- Maintain data dictionaries, ER diagrams, schemas, contracts, and migration documentation.
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.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
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.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
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.
Required Skills
- Strong experience in data modelling — ER diagrams, normalization/denormalization, dimensional modelling (star/snowflake schemas), and NoSQL schema design.
- Strong hands-on experience with NoSQL databases, particularly Azure Cosmos DB.
- Proven experience in data contract design (schema definition, versioning, validation rules).
- Practical experience executing data migration projects (legacy-to-cloud, on-prem-to-Azure, or database-to-database).
- Working experience with Azure Data Factory (ADF) for pipeline design, orchestration, and monitoring.
- Solid SQL skills — querying, performance tuning, and stored procedure development.
- Familiarity with data modelling tools.
- Familiarity with Azure ecosystem tools (e.g., Azure Storage, Synapse, Databricks).
- Strong analytical and problem-solving skills with attention to data quality and integrity.


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