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

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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.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour 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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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.
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.
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


Get help with your application
Your very own career expert that helps elevate your application to the next level.
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.
“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
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