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Head of Data Engineering

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Head of Data Engineering – Microsoft Fabric
Contract & Location: 9 month contract - 2 days per week in London office.
Rate: £525/day Outside IR35
Role:
Leadership & Strategy: Lead the Data Engineering function and own the enterprise data engineering strategy, architecture roadmap, standards, and delivery across a Microsoft Fabric-led data estate.
Microsoft Fabric Expertise: Provide senior technical leadership across Microsoft Fabric, including OneLake, Lakehouses, Warehouses, Data Pipelines, Dataflows Gen2, Spark Notebooks, KQL and Real-Time Intelligence.
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.
Data Architecture & Migration: Design and oversee modern cloud-first data architectures, including Delta Lake and Bronze/Silver/Gold medallion patterns, with experience migrating legacy platforms such as Oracle or Azure Synapse.
Enterprise Data Integration: Lead the integration and data engineering strategy across key enterprise platforms including Salesforce, Certinia, Workday, Dynamics 365 F&O, GMS, ECS, Avetta, Rydoo and Tipalti.
Engineering Team Leadership: Lead and develop a multidisciplinary engineering team covering development, testing, release management and platform operations, establishing strong engineering standards, code reviews and agile delivery practices.


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Governance, Security & Quality: Own data governance, security and lineage using technologies such as Microsoft Purview, Entra ID and RBAC, ensuring robust controls, data quality and compliance.
DevOps & Operational Excellence: Establish CI/CD, Git-based source control, automated deployment and infrastructure-as-code practices, while optimising Spark workloads, Fabric capacity, performance and cost.
“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.”
Jessica, London
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