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Sanderson

Data Engineer

London
£55k – £60k/yr
Posted about 12 hours ago
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Data Engineer

Location: London (1 day per week)
Salary: £55,000 to £60,000 + Benefits

We're supporting an exciting business that is investing heavily in its data platform and is looking to hire two Data Engineers to join a growing team.

This is a fantastic opportunity to work in a modern Google Cloud environment, building scalable data pipelines and helping shape a platform that underpins analytics, reporting and AI driven initiatives.

What you'll be doing

  • Designing, building and maintaining scalable data pipelines
  • Developing and optimising datasets within BigQuery
  • Building ingestion pipelines from APIs and multiple data sources
  • Working across Python and SQL to transform and prepare data
  • Improving data quality, monitoring and pipeline performance
  • Collaborating with analysts and stakeholders to deliver reliable, production ready data products
  • Contributing to the ongoing evolution of the data platform

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.

Start with a chat, not a search bar

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.

P

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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It searches the market for you

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.

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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.

Tech stack

  • Google Cloud Platform (GCP)
  • BigQuery
  • Python
  • SQL
  • Dataform or dbt
  • Airflow
  • Docker
  • CI/CD

Experience with AI enabled data pipelines or machine learning workflows would be beneficial but is not essential.

We're looking for someone who has

  • Commercial experience building data pipelines in GCP
  • Strong BigQuery knowledge
  • Solid Python and SQL skills
  • Experience with modern data modelling and transformation practices
  • A passion for building reliable, scalable data platforms
  • Strong communication skills and the ability to work closely with technical and non-technical stakeholders

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Why apply?

  • Modern cloud first data platform
  • Opportunity to influence how the platform evolves
  • Hands on engineering role with genuine ownership
  • Exposure to AI and emerging technologies
  • Hybrid working with one day per week in the London office
  • Collaborative, growing engineering team

If you're a Data Engineer with strong GCP and BigQuery experience looking for your next challenge, we'd love to hear from you.

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Skills

Data Engineering
Google Cloud Platform
BigQuery
Python
SQL
Dataform
dbt
Airflow
Docker
CI/CD
Data Pipelines
Data Quality
Data Transformation
Machine Learning
Data Modelling
Analytics

Location

London, England, United Kingdom

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