Vamstar
Senior AI & Ab Initio Engineer UK

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Senior AI & Ab Initio Engineer - Fintech AI
Location: UK only | Remote with few days onsite per month
Existing Clients: Large FinTech Company
Type: Full-time Contractor
Core responsibilities & objectives
- Design, build, and migrate Ab Initio workflows to AWS Glue/PySpark.
- Write production-grade, well-tested Python that processes large volumes of data and documents reliably.
- Must have hands-on experience using AI coding tools (e.g., Claude) to generate PySpark / AWS Glue code and build test harnesses.
- Own pipeline health: if data is stale, broken, or wrong, it's on you.
- Work autonomously to project deadlines with minimal hand-holding.
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.
Key qualifications & skills (non-negotiable)
- 7+ years in backend data-heavy development or data engineering.
- Highly proficient in Python.
- Production experience with Ab Initio deployments and cloud migrations.
- Hands-on experience with large datasets and high-velocity data streams (Kafka, Flink, Spark).
- Strong with pipeline orchestration tools (Airflow, MLflow, or equivalent).
- Solid SQL skills (Postgres, Redshift, or Snowflake) and NoSQL experience (DynamoDB, OpenSearch, Elastic).
- Real experience with LLM workflows: RAG architectures, embeddings/vector DBs, prompt engineering, function/tool calling, observability.
- Deep understanding of ETL/ELT patterns and data processing at scale.


Get help with your application
Your very own career expert that helps elevate your application to the next level.
Preferred background (strong signals)
- Experience with AWS data stack at scale.
- Exposure to financial services industries.
- Built and shipped data, ML and LLM-powered pipelines in production.
- Has debugged a pipeline and knows why observability matters.
- Worked in a fast-moving startup where "that's not my job" doesn't exist.
Interested? We're a distributed team solving hard problems that will reshape the fintech industry. If you want ownership, not just tickets, we'd like to hear from you.
“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.”
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