Open banking data engineering joins the core fintech team

Open banking data engineering has moved from a back-office support function to a core part of the UK fintech team, sitting alongside product, risk and engineering as a driver of how firms build and ship.
Author

Oscar Butterwick

Job Title

Data Analyst

What does fintech hiring look like right now?

Fintech hiring has narrowed to the skills that move products forward. Against a subdued 2025 economic backdrop, businesses took a cautious approach to hiring, but there were clear demand hotspots for specialist tech skills including AI, data, enterprise applications and cyber security Computer Weekly (tech recruitment outlook 2026). For open banking, that data hotspot is the whole story: pipelines, consent flows and real-time account information all rest on people who can engineer clean, reliable data.

Demand for data-shaped technical roles sits near the top of the market. IT business analysts, architects and systems designers, a group of 193,000 workers, are among the occupations in critical demand, with three of five indicators in critical demand in 2025 Occupations in demand 2025, Explore Education Statistics, GOV.UK. These are the architects who design how open banking data flows through a fintech, so the competition to hire them is sharp.

Which open banking data roles are fintech teams hiring for?

The core team now reaches well beyond a single data engineer. Fintechs are hiring for a spread of connected roles, each one tied to how open banking data is ingested, cleaned and used.

  • Data engineers who build and maintain the pipelines that pull account and transaction data through open banking APIs.
  • Data architects and systems designers who decide how that data is structured, stored and governed across the business.
  • Analytics engineers who turn raw open banking feeds into the models that power lending, affordability and fraud decisions.
  • Platform and reliability engineers who keep real-time data flowing without downtime.
  • Compliance-minded specialists who build consent, security and auditability into the data from the start.

The seniority bar is high, too. In financial services, recruitment was generally for Regulatory Qualification Framework (RQF) 6+ roles rather than RQF 3 to 5 GOV.UK - Temporary Shortage List: Stage 2 report. In practice that points to experienced, degree-level or equivalent specialists rather than entry-level hires, which is exactly the profile open banking data work demands.

How do you hire well for open banking data engineering?

Start by writing the role around outcomes, not tool lists. Describe the data problems you need solved, the regulatory context and the products the work feeds. That attracts people who think about consent, security and reliability, not just the stack of the week.

Then move quickly. Specialist data and AI skills are in high demand, and the market will stay competitive into 2026 Computer Weekly (tech recruitment outlook 2026). The strongest people are rarely on the market for long, so a slow, multi-stage process loses them. Keep interviews focused, test for real open banking judgement rather than textbook trivia, and give a clear decision fast.

Finally, widen your view of who fits. With architect and systems-design roles in critical demand Occupations in demand 2025, Explore Education Statistics, GOV.UK, the people you want may be transferable from adjacent data-heavy sectors. Hire for the data engineering craft and the regulatory mindset, and you open a much larger pool.

How can you build your fintech data team faster?

When you need open banking data talent fast, we search a database of 15 million candidates to surface the people who match your brief, then manage the process end to end. Our recruitment agent manages recruitment end to end for 8% on a successful hire, with no monthly fee and no upfront cost. If you're building out your fintech data team this year, tell Reed.ai what great looks like and we'll bring you a shortlist to act on.

Sources

Oscar Butterwick
Share