CSI GLOBAL LTD
Databricks Engineer

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Role: Databricks Engineer
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.
Location: London, UK - Hybrid


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Type: Contract - Inside IR35
Job Description:
- Design, develop, and maintain scalable data engineering solutions using Databricks and Apache Spark.
- Develop and optimize ETL/ELT pipelines using PySpark, SQL, and Python.
- Build data pipelines using Delta Lake, Medallion Architecture (Bronze, Silver, Gold), and Lakehouse patterns.
- Integrate data from multiple sources including AWS/Azure cloud storage, databases, APIs, and streaming platforms.
- Implement data transformation, cleansing, validation, and aggregation processes for analytics and reporting.
- Optimize Spark jobs, queries, clusters, and data processing for performance and cost efficiency.
- Develop and manage workflows using Databricks Workflows/Jobs and implement scheduling and monitoring.
- Implement data quality, governance, security, lineage, and access controls using Unity Catalog.
- Collaborate with data scientists, analysts, architects, and business teams to deliver reliable data products.
- Follow CI/CD, Git, DevOps, testing, monitoring, and production support best practices for Databricks 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.”
Jessica, London
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