ARC IT Recruitment
AI Data Engineer

How your CV stacks up
Upload your CV to see how well it fits this job role
?%
AI Data Engineer
Location: London (Hybrid)
Salary: Circa £100k + bonus + benefits
Our client, one of the world's largest independent financial services groups, is looking for an AI Data Engineer to join their central Data Platform team.
This is a rare chance to combine deep data engineering expertise with emerging AI and machine learning capability, within a platform team that sits at the heart of the business.
It is a hands-on role where you will help the data platform evolve to support advanced analytics, machine learning, generative AI and agentic AI, all within a robust governance and control framework.
What You'll Do
- Design, build and maintain reusable platform capabilities across the business
- Develop scalable, resilient data solutions using modern cloud data engineering practices
- Act as primary SME for AI-ready data and platform AI capabilities
- Define and maintain standards for data products supporting AI, ML, analytics and automation
- Advise delivery teams on architecture, governance and engineering considerations for AI-enabled solutions
- Build reusable design patterns to accelerate delivery while maintaining consistency and control
- Track developments across Microsoft Fabric, ML, generative AI and agentic AI
- Work with platform engineers, federated data teams, AI practitioners and architects org-wide
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.
What You'll Bring
- 5+ years in cloud-based data engineering, delivering complex enterprise data solutions
- Strong Python and advanced SQL skills, including hands-on DBT experience
- Deep understanding of ETL/ELT patterns, data modelling, warehousing, lakehouse and data lake architectures
- Experience with Apache Spark and large-scale data processing
- Strong hands-on experience with Microsoft Fabric; familiarity with Power BI and semantic models
- Good grasp of machine learning concepts and the data requirements behind them
- Understanding of generative AI and agentic AI patterns
- A track record of setting standards and influencing technical direction across engineering, architecture and stakeholder communities
- Experience in large-scale, ideally regulated, enterprise environments


Get help with your application
Your very own career expert that helps elevate your application to the next level.
If this sounds like your next move? Apply now or send your CV to chinmaye@arcitrecruitment.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
Skills
Location