Data Engineer + AI Engineering (Python & Cloud Systems)

Intec Select
London
Today
£65,000 – £80,000 pa

Salary

£65,000 – £80,000 pa

Job Type
Permanent
Work Location
Hybrid
Posted
5 Nov 2026 (Today)

Benefits

Bonus Competitive Benefits Package

Data & AI Engineer (Python / Cloud Systems):

  • Circa £60,000–£80,000 (neg) + Bonus + Competitive Benefits Package
  • Central London | Hybrid – 4 days office / 1 day remote | Permanent

Company and role for Data & AI Engineer (Python / Cloud Systems)

We're working with an established, innovative investment management firm in Central London seeking a talentedData & AI Engineer with a strong software engineering mindset and proven experience designing, building and deploying complete technical solutions.

We're looking for someone who understands how to build an entire system — not simply develop data pipelines or add functionality to existing platforms.

This is a hands-on engineering opportunity for someone passionate about programming, system architecture, cloud technology and applied AI, who enjoys taking ownership of solutions from initial concept through to production.

The Opportunity for Data & AI Engineer (Python / Cloud Systems):

You'll develop and enhance the firm's internal technology platforms, working across software development, data infrastructure, cloud architecture and automation.

Key responsibilities include:

  • Designing, building and deploying complete software and data systems, from initial architecture through to production.
  • Developing backend applications, REST APIs, databases and data pipelines usingPython and SQL.
  • Building and integrating systems with third-party APIs, legacy platforms and external data sources.
  • Working with cloud infrastructure, including architecture, secure deployment, access controls and system reliability.
  • Developing and improving internal applications, automated workflows and data processing solutions.
  • Building and enhancing practicalAI and LLM-powered tools for document processing, reporting and business automation.

What We're Looking For:

  • Strong commercial experience developing software and data solutions using Python and SQL.
  • Demonstrable experience designing and delivering at least one complete new system, from architecture and development through to deployment and production use.
  • Experience establishing and deploying cloud-hosted solutions, with an understanding of infrastructure design, security and ongoing maintenance — rather than solely working within pre-existing setups.
  • Experience with databases, APIs, integrations and capturing or processing structured and unstructured data.
  • Sound software engineering fundamentals, including system design, maintainable code, Git, testing and deployment practices.
  • The ability to understand a business problem, design an effective technical solution and take ownership of its delivery.
  • Above all, genuine enthusiasm for engineering, intellectual curiosity and a proactive, independent approach to problem-solving.

Desirable, Not Essential

  • Experience with Azure, PostgreSQL, FastAPI, Docker, CI/CD, ETL pipelines, GitHub Actions, AI/LLM APIs or machine learning.
  • Previous financial services experience is not required. We're far more interested in what you've personally designed, built and delivered.

Why Join?

This is an opportunity to work in a smaller, entrepreneurial environment where your technical decisions have a direct impact.

You'll have the freedom to work across complete systems, contribute to architectural decisions and develop innovative solutions using modern software, cloud and AI technologies.

Our client particularly values engineers who enjoy taking responsibility, solving unfamiliar problems and building technology properly.

Salary: £60,000–£80,000 + Bonus + Competitive Benefits Package

Hybrid: 4 days per week in the Central London office.

If you've built and delivered complete technical solutions and enjoy the challenge of owning systems end to end, we'd love to hear from you.

Apply with your CV for a confidential discussion.

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