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Harrington Starr

Senior Data Engineer

London
£700 – £900/day
Posted about 21 hours ago
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Senior Data Engineer – Python & Databricks

£700–£900 per day
Inside IR35
6-Month Contract + Extensions
London – 3 Days per Week Hybrid

A leading global banking organisation is scaling its enterprise data platform and investing significantly in modern cloud-based data engineering capabilities. They're seeking a Senior Data Engineer with strong Python and Databricks expertise to help design, build and optimise the next generation of data platforms supporting analytics, reporting and business-critical decision making.

This role sits within a high-performing engineering team and offers the opportunity to work on large-scale data challenges, modern Lakehouse architectures and distributed processing environments.

The Role

This is a high-impact engineering position responsible for delivering scalable and robust data solutions across the organisation.

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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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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You will:

  • Design and build scalable data pipelines using Python and Databricks
  • Develop and optimise ETL/ELT workflows using Spark and Delta Lake
  • Design modern Lakehouse architectures
  • Improve performance across large-scale distributed datasets
  • Partner with analytics and data science teams to enable advanced reporting and machine learning initiatives
  • Help drive data quality, governance and engineering standards
  • Mentor engineers and contribute to technical best practice across the function
  • Implement monitoring, observability and reliability frameworks across data services

What We're Looking For

  • 10+ years of Data Engineering experience
  • Strong hands-on Python expertise
  • Commercial Databricks experience including Delta Lake
  • Strong Spark / PySpark knowledge
  • Experience delivering scalable ETL platforms
  • Strong SQL and cloud engineering experience
  • Data warehousing and Lakehouse architecture expertise
  • Experience working in enterprise-scale environments
  • Excellent stakeholder and communication skills

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Why This Role

  • Large-scale enterprise data platform programme
  • Significant engineering ownership
  • Modern Databricks and Lakehouse environment
  • Long-term contract potential with extensions
  • High-impact role within a globally recognised banking organisation

To apply – click the link or email Barry.Ansell@HarringtonStarr.com for a faster response

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Skills

Python
Databricks
Spark
PySpark
Delta Lake
ETL
ELT
Lakehouse Architecture
SQL
Cloud Engineering
Data Warehousing
Data Pipelines
Distributed Processing
Data Governance
Monitoring
Observability

Location

London, England, United Kingdom

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