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Tech Lead - Azure Databricks Data Platform

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Tech Lead - Azure Databricks Data Platform
Duration: Until end of year
Workload: Full time hours
Setup: Day rate contract inside IR35
Location: London (Hybrid)
We are looking for an experienced Technical Lead to drive the design, development, and optimisation of a large-scale Azure Databricks data platform supporting near real-time enterprise data and reporting capabilities.
Key Responsibilities:
- Lead the architecture, development, and delivery of scalable data solutions using Azure and Databricks.
- Design and implement high-performance data pipelines leveraging Structured Streaming, Delta Live Tables (DLT), PySpark, Python, and SQL.
- Establish and maintain data governance, data quality, and platform best practices.
- Optimise Databricks performance, streaming workloads, and cloud cost efficiency.
- Provide technical leadership across architecture, development, deployment, and production support.
- Collaborate with business stakeholders to translate requirements into robust technical solutions.
- Mentor engineering teams and drive technical decision-making across the programme.
- Support cloud modernisation initiatives and enterprise-wide data strategy objectives.
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.
Must-Have Skills:
- Strong technical leadership experience delivering enterprise-scale data platforms.
- Expert knowledge of Azure Data Platform and Databricks.
- Hands-on experience with Structured Streaming and Delta Live Tables (DLT).
- Advanced PySpark architecture and engineering expertise.
- Strong Python and SQL development skills.
- Experience with data governance, data quality, and data architecture best practices.
- Proven stakeholder management and communication skills.
- Experience within financial trading environments and trading data models.


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Nice-to-Have:
- Experience with cloud modernisation programmes.
- Exposure to energy trading or commodities data platforms.
- Knowledge of Endur, DEX, or similar trading applications.
- Experience building near real-time reporting and analytics solutions.
“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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