Conquer AI
Data Engineer

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Data Engineer - Fully Remote
Conquer AI deploys production-ready AI systems for FTSE 100, FTSE 250, and Fortune 500 clients. We're scaling fast. Every model we ship is only as good as the data underneath it, and right now, that's the part nobody owns.
The reality of this role
Nobody notices good data infrastructure. Everybody notices bad data infrastructure, usually when a model gives a client the wrong answer with total confidence. You'll build and maintain the pipelines that feed our AI systems, structured and unstructured, batch and real-time. You'll keep feature stores and vector databases consistent with what's actually true, so the engineers building on top of you aren't debugging your problem three layers up.
What you'll own
- Data pipelines supporting the full AI lifecycle, from ingestion to model training to serving
- Feature stores and vector database consistency for retrieval and agentic systems
- Data quality, reliability, and lineage across every pipeline you build
- Cloud data infrastructure and cost management on the platforms we run on
- Documentation that makes the data trustworthy to everyone downstream, including governance
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.
Who you are
- Strong in SQL and Python, with real pipeline experience, not just querying
- Comfortable with Spark or PySpark, dbt, and Airflow for orchestration
- Experience with at least one major cloud platform (AWS, GCP, or Azure)
- You've worked with vector databases or feature stores, or you pick them up fast
- You treat data reliability as an engineering discipline, contracts, observability, lineage, not an afterthought
- Fluent English, comfortable working async across a globally distributed team
Where you're coming from
Data Engineer or Senior Data Engineer at a tech company, scale-up, or AI-focused team. You've built pipelines other people relied on without ever saying thank you. Now you want to build them somewhere that notices.


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What we're offering
- Real ownership of the data layer underneath every AI system we ship
- Fully remote, work from anywhere, any time zone
- Direct exposure to the infrastructure behind FTSE 100, FTSE 250, and Fortune 500 deployments
- Competitive package to include equity
If you'd rather fix the data than keep hearing it's the model's fault, we should talk.
Message me, Farah, directly or apply.
PLEASE NOTE I personally review every CV, message, and email I receive regarding our vacancies. While I read each one carefully, I'm unable to reply to everyone individually due to the volume of applications. Thank you for taking the time to apply and for your interest in working with us. Your effort is genuinely appreciated.
“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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