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Few&Far

Data Engineer – Python | GCP | KAFKA | SC Clearance - £550 OUTSIDE IR35 - Remote

London
£550/day
Posted about 13 hours ago
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Data Engineer – Python | GCP | KAFKA | SC Clearance - £550 OUTSIDE IR35 - Remote

I’m looking for an experienced Data Engineer to join a greenfield technology programme building a highly scalable data platform supporting advanced AI capabilities and maritime surveillance across the North Atlantic.

You’ll join a highly autonomous engineering team taking an existing proven prototype through to a production-grade platform, ingesting and processing large volumes of complex, real-world data.

💷 Up to £550 per day, Outside IR35

💻 FULLY REMOTE

📈 Initial 6 months - scope for extension / perm

‼️ SC clearance required for this role - UK APPLICANTS ONLY

The role:

  • Design and productionise scalable, high-throughput distributed data pipelines
  • Onboard and normalise diverse data sources into consistent, queryable schemas
  • Build the core data foundations used by AI/ML models and agents
  • Develop a knowledge layer allowing AI agents to read and write data with full traceability back to source
  • Work with complex IoT, geospatial, time-series and maritime data
  • Build secure, high-performance production systems using Python
  • Help shape technical and architectural decisions in a genuinely greenfield environment

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.

What we’re looking for:

  • Strong production-level Python
  • Experience building distributed data pipelines at scale
  • Strong understanding of data modelling, schema design and data lineage/provenance
  • Solid software engineering fundamentals
  • Experience taking data systems from prototype → production
  • SC Clearance or willingness/eligibility to undergo clearance

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Highly desirable experience:

  • Kafka / Flink or other streaming technologies
  • Spark, Iceberg, Trino and modern lakehouse architectures
  • Knowledge graphs / graph databases
  • ML/AI platform integration
  • Entity resolution / data fusion
  • Geospatial or time-series data
  • Docker / Kubernetes
  • Restricted or air-gapped environments

This is an opportunity to work on a technically challenging, high-priority programme where the data platform will sit directly underneath sophisticated AI and optimisation capabilities.

📩 Interested? Apply or message me directly for more information.

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Skills

Python
GCP
Kafka
Distributed Data Pipelines
Data Modelling
Schema Design
Data Lineage
Software Engineering
Flink
Spark
Iceberg
Trino
Knowledge Graphs
Docker
Kubernetes
Geospatial Data

Location

London, England, United Kingdom

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