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Data Engineer - SC Cleared

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SC Cleared Data Engineer
This is an exciting contract opportunity for an SC Cleared Data Engineer to join an experienced team delivering a critical public sector engagement working at the forefront of data analytics and AI. This role offers the chance to take a key role in the design and delivery of advanced Databricks solutions within the Azure ecosystem.
Responsibilities:
- Design, build, and optimise end-to-end data pipelines using Azure Databricks, including Delta Live Tables.
- Collaborate with stakeholders to define technical requirements and propose Databricks-based solutions.
- Drive best practices for data engineering.
- Help clients realise the potential of data science, machine learning, and scaled data processing within Azure / Databricks ecosystem.
- Mentor junior engineers and support their personal development.
- Take ownership for the delivery of core solution components.
- Support with planning, requirements refinements, and work estimation.
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.
Skills & Experiences:
- Proven experience designing and implementing data solutions in Azure using Databricks as a core platform.
- Hands-on expertise in Delta Lake, Delta Live Tables and Databricks Workflows.
- Strong coding skills in Python and SQL, with experience in developing modular, reusable code in Databricks.
- Deep understanding of lakehouse architecture, with a solid grasp of data warehousing, data lakes, and real-time data processing.
- Familiar with Azure Data Factory, Azure Synapse Analytics, and Microsoft Fabric.
- Good experience with CI/CD practices and tools for data platforms using Azure DevOps.
- Good knowledge on how to leverage AI to increase deployment productivity and quality.
- Excellent communication skills.
- Desirable: certification in Databricks Data Engineer and/or Azure Data Engineer are a plus.


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Additional Information:
- Rate offered: £500-550 per day
- IR35 Status: Outside
- Location: Hybrid working, North England
- Start date: October
- Duration: 6 months initial sign up, significant opportunity for extension
- Required: Active SC Clearance
“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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