Rodeo
ResourcesPartnersSign in

Haystack

Data Engineer

London
£55k – £60k/yr
Posted about 12 hours ago
Sign up to applySee more jobs like this

How your CV stacks up

1Upload CV
2Analyse CV
3Improve CV

Upload your CV to see how well it fits this job role

?%

We are working with a large, well-known facilities management organisation that is seeking to expand its data engineering capabilities. This company is a leader in its field, providing essential services and innovative solutions to a wide range of clients.

The Role

  • Develop high-performance data pipelines using Python (Pandas) or Spark within Palantir Foundry
  • Design and implement reusable, scalable, and well-documented data workflows
  • Lead workshops with business stakeholders to capture data requirements
  • Demonstrate Palantir Foundry's full potential by showcasing its capabilities
  • Ensure the availability, performance, and integrity of all data services within Palantir Foundry

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.

See breakdown
Save jobNot relevant
View details

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.

See breakdown
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.

See breakdown
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.

What You'll Need

  • Proficiency in Palantir Foundry pipeline development
  • Strong coding skills in Python (Pandas) and PySpark for data manipulation
  • Experience in data modelling and ontology development using Palantir Foundry's ontology
  • Deep understanding of Foundry's data governance and metadata management
  • Experience with data pipeline automation and orchestration using Foundry's Pipeline Builder
  • Demonstrated ability to design, test, and deploy code in Foundry with CI/CD pipelines

Get help with your application

Your very own career expert that helps elevate your application to the next level.

Get help applying for this job

What's On Offer

  • Competitive salary between 55,000 - 60,000 per annum
  • Benefits including a car allowance, private medical insurance, and a pension plan
  • 25 days holiday and a variable annual bonus of 5-15%
  • Opportunity for career progression in a dynamic data engineering team

Apply via Haystack today!

Trusted by 25,000+ job seekers

“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

Get help applying for this job

Skills

Palantir Foundry
Python
Pandas
PySpark
Data Modelling
Ontology Development
Data Governance
Metadata Management
Data Pipeline Automation
Orchestration
CI/CD Pipelines
Data Workflows
Data Requirements
Data Integrity
Data Performance

Location

London, England, United Kingdom

Sign up to applySee more jobs like this