Python Data Engineer - Financial Services

Join a leading global investment and wealth management organisation investing in technology to transform how it serves clients and drives business growth. We’re looking for a hands-on Principal Engineer combining software engineering, data expertise and emerging AI capabilities to build scalable APIs, trusted data products, robust pipelines and intelligent agent-enabled tools.

🚀 Principal Full-Stack Software Engineer | Python, Data & AI

📍 London – 3 days onsite
💰 £90–110k + bonus
📄 Permanent | Consultancy hire into a globally recognised financial services institution

The opportunity

Join a leading global investment and wealth management organisation investing in technology to transform how it serves clients and drives business growth.

We’re looking for a hands-on Principal Engineer combining software engineering, data expertise and emerging AI capabilities to build scalable APIs, trusted data products, robust pipelines and intelligent agent-enabled tools.

You’ll turn complex business requirements and data into secure, reusable technology that streamlines workflows, empowers teams and delivers measurable commercial impact within a highly regulated environment.

What you’ll do

• Engineer & integrate: Build production-grade Python services, APIs and enterprise integrations.
• Drive data engineering: Develop robust data pipelines, models and reusable data products, ensuring data quality, lineage, reliability and accessibility.
• Enable AI innovation: Build secure tools and data interfaces that allow AI agents to access information and execute workflows safely.
• Shape technical strategy: Establish scalable software and data architectures, reusable patterns and engineering best practices.
• Lead by example: Stay hands-on throughout the development lifecycle while mentoring engineers and influencing technical decisions across teams.

What you’ll bring

• Extensive software engineering experience, with strong Python, API development and backend engineering skills.
• Proven data engineering expertise, including data pipelines, modelling, data quality and reusable data products.
• Experience with Snowflake, SQL, dbt, Azure Data Factory or comparable data technologies.
• Strong knowledge of distributed systems, cloud platforms, enterprise integration, testing and observability.
• Exposure to AI agents, tool-calling applications or intelligent workflow automation.
• Principal-level technical judgement, combining architectural leadership with a pragmatic, delivery-focused mindset.

Why this role?

An opportunity to influence technology strategy at a globally established financial institution, combining software, data and AI to solve meaningful business challenges. You’ll have the autonomy to shape solutions, establish engineering standards and build the reusable capabilities that support the next stage of wealth management growth.

Ready to build technology where software, data and AI come together? Let's talk.

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