Opus Recruitment Solutions
Junior Data Engineer | Fully Remote | High Growth Opportunities

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Junior Data Engineer
Location: UK
Salary: £50,000 + Benefits
I’m partnering with a highly technical organisation that builds secure, mission-critical data platforms, and they’re now looking to add a Junior Data Engineer to their Data & Ontology team.
This role is well suited to someone with 1–2 years’ experience who wants to step into a more complex data environment and start working with modern data pipelines, knowledge graphs and semantic technologies, while being supported by experienced engineers.
The Role
This is more than a traditional ETL position. The successful candidate will be involved in designing and supporting data pipelines that feed intelligent, policy-driven data platforms used across government and enterprise environments.
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.
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.
See breakdownIt 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.
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.
You’ll be exposed to:
- Scalable data ingestion and enrichment pipelines
- Entity resolution and data fusion challenges
- Real-time and event-driven data architectures
- Knowledge graphs and semantic data models
What My Client Is Looking For
Essential:
- 1–2 years’ experience in a data engineering or closely related role
- Strong fundamentals in Python and SQL
- Experience working with data pipelines and structured data
- Working knowledge of Git/GitHub
- A curious, problem-solving mindset and willingness to learn
Nice to Have (Not Essential):
- Exposure to RDF, SPARQL, ontologies or semantic technologies
- Experience with graph databases or knowledge graphs
- Familiarity with streaming or event-driven architectures (e.g. Kafka)
- Interest in using ML/AI techniques for data ingest or enrichment


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Your very own career expert that helps elevate your application to the next level.
Candidates without prior semantic technology experience are still encouraged to apply — attitude and learning ability are key for this hire.
Why This Role Stands Out
- Strong engineering culture with senior support and mentorship
- Opportunity to work on genuinely complex, real-world data problems
- A chance to build rare, in-demand skills early in your career
- Sensible work-life balance in a collaborative team
Security Clearance
Due to the nature of the work, candidates must be UK SC eligible. Holding clearance already is advantageous but not required.
If this sounds like the role for you, please get in touch with me - kumbirai.mafini@opusrs.com
“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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