Fixed Income Data Engineer (Mid–Senior)

Overview

🏢 Environment | Product-led fintech, capital markets

🎯 Focus | Fixed income data infrastructure

📍 Location | Remote across the UK

🧠 Stack | Python, SQL, Snowflake-style data platforms

👥 Team | Small, senior, low-ego

💻 Working style | High ownership, deep focus

Why you’d leave a good job for this one

If you enjoy working close to real market data, the kind that’s messy, delayed, corrected, and business-critical, this will resonate.

You’ll own a meaningful part of a fixed income data platform that’s already live and now scaling. There’s no ticket queue and no hand-offs between “data”, “engineering”, and “product”. You’ll decide what matters, how it’s built, and when it’s ready to ship.

You’ll get:

• Ownership of core data pipelines, not just downstream analytics
• Time to think properly about data quality, lineage, and edge cases
• Direct influence over technical direction
• Long stretches of uninterrupted focus
• A calm pace that values judgement over urgency

This is engineering for people who care about how data behaves in production.

What you’ll spend your time doing

You’ll build and evolve the systems that ingest, normalise, and expose fixed income data.

That includes:

• Designing and maintaining production data pipelines in Python
• Working closely with analysts to embed validation and fixes into the system
• Handling time-series and temporal data where accuracy matters
• Querying and modelling complex structured and semi-structured datasets
• Working with modern analytical data platforms (e.g. Snowflake-style environments)
• Using domain knowledge to shape how the product behaves, not just how it’s built
• Supporting ML and LLM-driven workflows where data quality is the limiting factor

This is hands-on, product-adjacent data engineering, not dashboard maintenance.

How the team builds

• Data & pipelines: Python, SQL
• Data platform: Cloud data warehouse and analytical tooling
• Infrastructure: Lean, pragmatic, minimal abstraction
• Tools: Linear and Slack

The focus is on correctness, observability, and systems that can be trusted.

This will suit you if…

• You’ve worked in capital markets and understand fixed income data behaviour
• You’ve built real data pipelines, not just reports or visualisations
• You’re comfortable owning systems end-to-end
• You enjoy working close to product and domain experts

You don’t need to know every bond instrument.

You do need to understand why this data is hard and why it matters.

What you get in return

• Fully remote working across compatible time zones
• Flexible hours and time off
• Flat structure and direct access to decision-makers
• Trust to do your best work without micromanagement
• Optional in-person working if you’re UK-based

What happens next

If this sounds like the kind of work you want to be doing, start a confidential conversation.

You’ll get real context, straight answers, and a clear sense of fit, before anything formal.

No noise. No pressure. Just a grown-up discussion