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Oliver Bernard

Senior Data Engineer (Newcastle)

Newcastle upon Tyne
£80k – £140k/yr
Posted about 15 hours ago
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Senior Data Engineers

Location: Newcastle upon Tyne (Office-based – 5 days per week)
Salary: £80,000 – £140,000 + 10% Annual Bonus

Join a High-Performance Financial Technology Team

They are building one of the UK's leading data engineering teams to power the next generation of financial products and investment technology. We're looking for exceptional Senior Data Engineers who enjoy solving complex technical problems at scale and want to work alongside some of the brightest engineers in the industry.

This is a full-time, office-based role in our Newcastle headquarters, offering the opportunity to have a significant impact on business-critical systems in a fast-paced financial environment.

What You'll Do

  • Design, build and optimise scalable data platforms and pipelines.
  • Develop high-performance ETL/ELT processes for large and complex datasets.
  • Build reliable, resilient and secure data infrastructure.
  • Work closely with software engineers, quantitative researchers, and business stakeholders.
  • Improve data quality, governance, and observability across the platform.
  • Drive engineering best practices, code quality, and technical excellence.
  • Mentor junior engineers and contribute to the team's technical direction.

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

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.

Requirements

We're looking for candidates with exceptional academic and technical credentials, including:

  • A minimum 2:1 degree from a leading university.
  • Extensive experience as a Data Engineer or in a similar data platform engineering role.
  • Strong programming skills in Python, Java, or Scala.
  • Expert SQL knowledge and experience working with large-scale data systems.
  • Experience with modern cloud platforms (AWS, Azure, or GCP).
  • Strong knowledge of distributed data processing technologies such as Spark, Kafka, or Flink.
  • Experience designing scalable data warehouses and data lake architectures.
  • Excellent communication skills and a collaborative mindset.
  • Ability to thrive in a high-performance, fast-moving environment.

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What We Offer

  • Competitive salary of £80,000–£140,000, depending on experience.
  • 10% annual performance bonus.
  • Opportunity to work on challenging, large-scale financial data platforms.
  • Direct impact on mission-critical systems.
  • Clear progression opportunities in a growing engineering organisation.
  • A collaborative culture focused on technical excellence and continuous learning.

Working Arrangement

This is a fully office-based role, with attendance required five days per week at our Newcastle office.

If you're an ambitious engineer who enjoys solving difficult technical problems and wants to work with exceptional colleagues in a high-performance financial environment, we'd love to hear from you.

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Skills

Python
Java
Scala
SQL
ETL/ELT
AWS
Azure
GCP
Spark
Kafka
Flink
Data Warehousing
Data Lake Architecture
Data Governance
Distributed Data Processing
Data Infrastructure

Location

Newcastle upon Tyne, England, United Kingdom

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