Software Engineer (Data)

United States Digital Space LLC; United States; Hybrid; USD 81,000 - 94,000; Full time

Benefits offered by this job

25 days holiday

Flexible hours

Remote working

Pension (Nest)

Annual ski trip

Job summary

United States Digital Space LLC is seeking a Software Engineer (Data) to turn messy, real-world data into clean, reliable systems for regulatory reporting and financial risk solutions.

You will design, build, and ship end-to-end ETL pipelines, maintain a shared framework, and mentor junior engineers while coordinating with product, QA, and client-facing teams to deliver accurate features.

Qualifications

• 3-5 years of professional Python production experience.
• Experience with FastAPI or a similar web framework.
• Strong ETL and data-mapping knowledge transforming raw data into normalized schemas.
• Experience with JSON Schema and contract-driven development.
• Docker experience including multi-stage builds.
• Solid RESTful API design understanding.
• Proficient in Git and collaborative workflows.
• Ability to work with typed Python codebases.

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

Skills

Python

FastAPI

ETL / data-mapping

JSON Schema

Docker

RESTful API

Git

Static typing

Team collaboration

Testing / QA

Tools

FastAPI framework

Job description

the company 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. the company 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.

the company 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