data engineer (fintech) Salary in London (2026): Complete Guide

A data engineer (fintech) in London typically earns $78,000 to $190,000 USD in 2026, with most strong mid-level candidates landing around $105,000 to $140,000. Senior engineers in regulated fintechs and trading-heavy firms can push higher, especially if they own streaming pipelines, risk data platforms, or cloud cost optimization.

Salary by Experience

These ranges assume London-based fintechs paying competitive market rates. Top-tier firms in payments, neobanking, quant finance, and fraud/risk analytics often pay at the upper end because London is one of the world’s strongest financial hubs.

What Affects Your Salary

• •

  Fintech sub-sector matters

  • •Payments, trading infrastructure, fraud/risk analytics, and lending platforms usually pay more than generic SaaS.
  • •If the company touches revenue-critical data paths or regulated reporting, compensation tends to move up.
• •

  Cloud and streaming specialization

  • •Engineers who can build on AWS/GCP/Azure with Kafka/Kinesis/PubSub and Spark are priced above pure warehouse-only profiles.
  • •Real-time systems are more valuable than batch-only ETL because they support fraud detection and customer decisioning.
• •

  Data governance and regulatory exposure

  • •Fintechs pay a premium for people who understand lineage, access controls, PII handling, auditability, and GDPR.
  • •If you can design for FCA expectations or model risk controls around data flows, that is directly monetizable.
• •

  London office policy

  • •Hybrid roles usually pay better than fully remote roles outside London because firms want local availability for cross-functional work.
  • •Fully onsite roles may offer a small premium in some trading firms; fully remote roles often trade cash for flexibility.
• •

  Company stage

  • •Late-stage fintechs and profitable scaleups tend to offer stronger base salaries.
  • •Early-stage startups may underpay on base but add equity; that equity is often less liquid than candidates expect.

How to Negotiate

• •

  Anchor on business impact, not tool names

  • •Don’t just say you know Airflow or dbt.
  • •Say you reduced pipeline failures by X%, cut reporting latency from hours to minutes, or improved fraud signal freshness for downstream models.
• •

  Price yourself against adjacent high-value roles

  • •In London fintechs, data engineers who support ML platforms or real-time decisioning can be paid closer to ML infrastructure engineers than classic analytics engineers.
  • •If your work supports risk scoring or recommendation systems, use that as your benchmark.
• •

  Separate base salary from total comp

  • •Ask for the full package: base salary, bonus target, pension match, sign-on bonus, and equity vesting schedule.
  • •A lower base with weak equity is not the same as a lower base with strong liquidity potential.
• •

  Use market scarcity correctly

  • •Strong Spark + cloud + governance + fintech experience is still hard to find in London.
  • •If you have that combination plus experience working with regulators or auditors, make it explicit early in the process.

Comparable Roles

• •

  Analytics Engineer (Fintech) — $85,000 to $145,000

  • •Usually a bit below data engineering unless the role owns production-grade transformation layers at scale.
• •

  ML Engineer / MLOps Engineer — $120,000 to $185,000

  • •Often higher than traditional data engineering because AI/ML infrastructure talent remains scarce in London.
• •

  Data Platform Engineer — $130,000 to $180,000

  • •Similar or slightly higher than senior data engineer if the role includes platform ownership and internal tooling.
• •

  Risk Data Analyst / Risk Analytics Engineer — $90,000 to $150,000

  • •Lower on average unless the role supports real-time credit/fraud systems or regulatory reporting automation.
• •

  Software Engineer — Backend (Fintech) — $110,000 to $175,000

  • •Competitive with senior data engineering; top-paying fintechs often treat these tracks similarly when both impact core revenue systems.

Keep learning

• •The complete AI Agents Roadmap — my full 8-step breakdown
• •Free: The AI Agent Starter Kit — PDF checklist + starter code
• •Work with me — I build AI for banks and insurance companies

By Cyprian Aarons, AI Consultant at Topiax.