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Software Engineer (Data)

Suade· London, United Kingdom· £60,000–£70,000/yrLicensed sponsor
Posted 3 Aug 2026 · Added 3 Aug 2026, 17:22
Suade2.0 (1)
AI summary

Work with Python, FastAPI, Docker, DuckDB, JSON Schema and Git to design, build and ship client ETL pipelines that map raw bank data onto the FIRE regulatory reporting standard. You will maintain a shared ETL framework, write validated mapping code, and mentor junior engineers at Suade, a regtech SaaS company automating compliance for financial institutions.

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Free Tailor for ATS: 10/10 runs left

Suade is a market-leading regtech SaaS company with cutting-edge technology that automates regulatory reporting, compliance and financial risk solutions for financial institutions. Our technology outperforms the competition on every metric, and we are supported by an unprecedented need for new technology to solve complex and growing regulatory burdens. We serve Tier 1 banks across Europe, North America, and Asia.

The Software Engineer (Data) role is for you if you are an experienced software engineer who loves turning messy, real-world data into clean, reliable systems. If you are interested in learning about finance, are mathematically minded, and enjoy working with non-technical teams to translate their domain knowledge into robust data pipelines and models, we would like to talk to you.

Salary: £60,000 to £70,000 based on experience

Please note:

We are unable to offer visa sponsorship for this role. Candidates who need visa sponsorship now or will need it in the future will not be considered.

This role is based in London. Suade has a flexible working policy, but you will need to be available to come into the London office when required. Some travel may be required.

Suade is an equal opportunity employer. We are building a world-class team, and we know we need a diverse mix of talented people doing their best work.

Requirements

Responsibilities:

Design, build, and ship client ETL pipelines end-to-end — from interpreting a bank's raw source data through to a validated, production-ready mapping onto the FIRE regulatory data standard

Maintain and lead the improvement of the shared ETL framework (schema validation, file handling, FastAPI service layer) used across all client integrations

Write efficient, well-tested mapping and validation code, including ground-truth/regression tests for new and existing ETLs

Review code and provide constructive feedback to peers and junior engineers

Mentor junior engineers on Python best practices and software design

Collaborate with QA, product, and senior engineers — and directly with client-facing teams — to resolve ambiguity in source data specs and ship reliable, accurate features

Must-have

3-5 years of professional experience building production software in Python

Experience with FastAPI (or a similar web framework)

Strong understanding of ETL / data-mapping patterns — transforming inconsistent, real-world source data (e.g. CSV extracts) into a normalised target schema, including handling defaults, missing fields, and enumerated value mappings

Hands-on experience with structured data validation (e.g. JSON Schema), and comfort treating a formal schema as a contract between systems

Professional experience with Docker, including multi-stage builds

Solid understanding of RESTful API design

Solid grasp of Git and standard version-control workflows in a team environment, including working with git submodules

Solid understanding of data structures, algorithms, and system design principles

Comfort working in a strictly typed, linted Python codebase (type hints, static type checking, enforced formatting/linting standards)

Nice-to-have

Hands-on experience with DuckDB or another embedded/columnar analytical engine

Experience or interest in the financial services / regulatory reporting domain (loans, deposits, securities, liquidity, credit risk, capital)

Professional experience processing large volumes of data (complex data pipelines), particularly maintaining many similar-but-distinct integrations rather than a single monolithic application

Experience contributing to or maintaining an open, schema-driven data standard

Skills And Qualifications

Track record of shipping and owning features in production

Clear communicator — able to explain technical decisions to peers and work directly with product and client-facing teams to resolve ambiguity in incomplete or inconsistent data specs

Close attention to detail; accuracy is critical when outputs feed directly into regulatory filings

Benefits

25 days' holiday + public holidays

Flexible holiday: choose when you take your holidays by swapping bank holidays if you would like

Additional tenure-based holiday: an extra day of annual leave for every year of service after 2 years

Flexible working hours and remote working (subject to conditions)

Monthly social events

Annual ski trip and residential offsites

£500 ‘work from home’ set up budget when you join

£500 personal training & development budget per year

Enhanced maternity and paternity leave (subject to conditions)

Company pension (Nest)

Perkbox benefits plan