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Azure AI data engineer

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Azure AI Data Engineer
Location: London (1x a week)
Start Date: October - Initial 6 month contract
Job Type: Up to £660 Inside IR35
We are seeking an experienced Azure AI Data Engineer to support the delivery of cutting-edge AI, data and analytics solutions within a large-scale digital transformation programme. This hands-on role will focus on designing and building Azure-native data platforms, developing AI-ready data pipelines, and transforming structured and unstructured data into high-value business insights.
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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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.
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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.
Key Responsibilities
- Design and build scalable Azure data pipelines using ADF, Synapse and Microsoft Fabric
- Develop modern Lakehouse architectures and AI-ready data platforms
- Engineer solutions for structured, semi-structured and unstructured data
- Work with Azure Data Lake, Cosmos DB and Azure SQL/Synapse
- Support AI use cases including RAG, vector search and Azure AI Search
- Collaborate with business stakeholders to translate requirements into data solutions
- Deliver production-ready, high-performance data engineering solutions


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Key Experience Required
- Strong experience as an Azure Data Engineer
- Hands-on expertise with ADF, Synapse, Microsoft Fabric and ADLS Gen2
- Experience with Azure Cosmos DB and NoSQL data modelling
- Exposure to AI/GenAI data pipelines, including RAG, embeddings or vector search
- Strong Python and SQL development skills
- Experience with data discovery, profiling and data quality frameworks
- Knowledge of CI/CD and Azure DevOps practices
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
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