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Cubestech Ltd

Senior Data Engineer

London
Posted 1 day ago
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Greetings from Cubes Tech

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.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your 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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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.

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Strong

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.

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Strong

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No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

We are looking for a Data Engineer with BFSI experience

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  • Hands-on experience with Databricks, Spark/PySpark, Python, and SQL
  • Experience developing and maintaining data pipelines and data processing systems
  • Understanding of the data lifecycle, including ingestion, transformation, storage, and consumption
  • Knowledge of cloud platforms (AWS) and distributed data processing
  • Experience with SDLC practices including CI/CD, testing, and deployment
  • Strong problem-solving skills and ability to troubleshoot data and pipeline issues
  • Ability to collaborate effectively within agile teams and across stakeholders
  • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security
  • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices
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Skills

Databricks
Spark
PySpark
Python
SQL
AWS
CI/CD
Data Pipeline Development
AI-assisted Software Development
BFSI Domain Knowledge

Location

London, England, United Kingdom

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