Software Engineer (Data) in London

Software Engineer (Data) in London

London Full-Time 60000 - 70000 £ / year (est.) No working from home possible
Suade

At a Glance

  • Tasks: Design and build ETL pipelines, transforming messy data into reliable systems.
  • Company: Join a leading regtech SaaS company revolutionising financial compliance.
  • Benefits: Enjoy 25 days holiday, flexible hours, and a £500 training budget.
  • Other info: Dynamic team culture with excellent career growth opportunities.
  • Why this job: Make a real impact in finance while working with cutting-edge technology.
  • Qualifications: 3-5 years of Python experience and strong ETL/data-mapping skills.

The predicted salary is between 60000 - 70000 £ per year.

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.

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

Software Engineer (Data) in London employer: Suade

Suade is an exceptional employer that fosters a collaborative and innovative work culture, where software engineers are empowered to make a real impact in the financial sector. With generous benefits including flexible public holiday swaps, additional leave for long-serving employees, and a commitment to professional development, Suade offers a supportive environment for growth and creativity. Located in a vibrant area, our team thrives on tackling complex challenges while enjoying the perks of a diverse and inclusive workplace.

Suade

Contact Details:

Suade Recruitment Team

We think you need these skills to ace Software Engineer (Data) in London

SQL
Python
Problem-Solving Skills
Data Engineering
Communication Skills
Data Pipeline Development
API Integration