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ARC IT Recruitment

AI Data Engineer

London
£100k/yr
Posted about 20 hours ago
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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.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your 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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It 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.

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Strong

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.

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Strong

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

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If this sounds like your next move? Apply now or send your CV to chinmaye@arcitrecruitment.com

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Skills

Python
SQL
DBT
Microsoft Fabric
Apache Spark
ETL/ELT
Data Modelling
Lakehouse Architecture
Generative AI
Agentic AI
Machine Learning
Power BI
Cloud Data Engineering
Data Warehousing
Governance
Semantic Models

Location

London, England, United Kingdom

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