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Inara

Data Engineer

London
£60k – £90k/yr
Posted about 11 hours ago
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Data Engineer

Location: London, near London Bridge (5 days per week on-site)

Industry: NGO, Tech for Good

Salary: £60,000 - £90,000

Confidentiality: NDA required before client details can be shared

About the opportunity

This is a genuinely rare opportunity. We've already placed someone at this organisation this year and they're absolutely loving it and it's easy to see why. This is a mission-driven, not-for-profit working on real-world intelligence and research challenges that have direct, tangible impact. The kind of role where you go home knowing what you built actually matters.

The team is growing fast. You'll be joining a small but high-calibre Data, Tools, and Technical Tradecraft function that operates like a miniature start-up within a serious analytical organisation. Engineers here are given genuine creative liberty you'll be expected to own features, propose new approaches, and help shape how the organisation exploits its growing data estate.

They work across large and varied datasets textual, geospatial, structured and unstructured powering a research team that is expanding rapidly. It's technically interesting, socially meaningful, and about as far from a maintenance job as you can get.

The role

You'll report directly into the Technical Tradecraft Lead and work closely with the Machine Learning Engineer to navigate new and unknown data sources, incorporate them into the organisation's Knowledge Base, and build the pipelines that make it all work. You'll be the primary point of understanding for a growing and diverse data collection that underpins the entire mission.

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.

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.

Key responsibilities

  • Understand, maintain and improve existing cloud-based pipelines and infrastructure
  • Build ad-hoc ingestion pipelines for structured data to reasonable turnaround times
  • Contribute to the technology strategy of the organisation
  • Support the research team in identifying, obtaining, and analysing data for investigations
  • Collaborate with the ML Engineer to model and incorporate new data sources

What we're looking for

Essential

  • 2+ years of experience as a Data Engineer or similar role, building and maintaining data pipelines at scale
  • Strong Python skills, including familiarity with common data science libraries (NumPy, Pandas, Polars, etc.)
  • Experience with cloud-native system design GCP and BigQuery strongly preferred
  • Solid grasp of data structures and algorithms, including graph theory
  • Proficiency in SQL, including analysis and optimisation of large-scale queries
  • Motivated by both technical challenge and real-world social impact

Nice to have

  • Degree in Computer Science, Mathematics, Engineering, or a related technical field
  • Experience with Infrastructure as Code (Terraform, OpenTofu)
  • DataOps and CI/CD pipeline design - especially with dbt or SQLMesh
  • Experience with Kubernetes, Airflow or Prefect
  • Experience deploying on-premises infrastructure
  • Exposure to geospatial, NLP, image processing, signals or financial data
  • Experience working in or alongside blended analyst teams

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Benefits

  • £60,000 - £90,000 per annum
  • 5% employee / 6% employer pension contribution
  • 23 days holiday + 8 bank holidays + Christmas shutdown (outside of holiday allowance)
  • Enhanced maternity pay and occupational sick pay (4 weeks full pay)
  • Professional development support

How to apply

This role is being recruited exclusively through Inara Talent. Due to the sensitive nature of the organisation's work, a mutual NDA will be required before full company details are shared. This will be arranged during our initial screening call.

If this sounds like the kind of role you've been waiting for, get in touch. We'd love to tell you more.


At Inara Talent, we believe everyone deserves a fair chance to shine. We connect great people from all backgrounds with opportunities where they can thrive making sure hiring is fair, inclusive, and genuinely diverse. No matter your background, we focus on what matters: your talent.

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Skills

Python
Data engineering
Cloud-native system design
GCP
BigQuery
SQL
Data structures
Algorithms
Graph theory
Data pipelines
Infrastructure as code
Terraform
CI/CD
Kubernetes
Airflow
DataOps

Location

London, England, United Kingdom

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