Data-Centric Software Engineer (ETL/Python)

Suade; Greater London; On-site; GBP 60,000 - 70,000; Full time

Benefits offered by this job

25 days' holiday + public holidays

Flexible holiday policy

Remote working (subject to conditions)

Monthly social events

Annual ski trip and offsites

£500 work-from-home setup budget

£500 personal development budget per年

Job summary

Suade, a market-leading regtech SaaS company, is hiring a Software Engineer (Data) in London. You will design and operate ETL pipelines, translate messy real-world data into robust data models, and collaborate with cross-functional teams to ensure reliable, production-ready solutions.

The role emphasizes Python, FastAPI, and schema-driven data processing, with a strong focus on data quality, testing, and maintaining shared data frameworks.

Qualifications

• 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 real-world source data into a normalised schema.

Responsibilities

• Design, build, and ship client ETL pipelines end-to-end from raw source data to a FIRE standard mapping.
• Maintain and lead improvement of the shared ETL framework used across client integrations.
• Write efficient, well-tested mapping and validation code with regression tests.
• Review code and provide feedback to peers and junior engineers.
• Mentor junior engineers on Python best practices and software design.
• Collaborate with QA, product, and client-facing teams to resolve data ambiguities and ship reliable features.

Skills

Python

FastAPI

ETL / data-mapping

JSON Schema

Docker

RESTful API design

Git

Type hints / static typing

Tools

Docker (multi-stage builds)

Git submodules

Job description

Suade, a market-leading regtech SaaS company, is hiring a Software Engineer (Data) in London. You will design and operate ETL pipelines, translate messy real-world data into robust data models, and collaborate with cross-functional teams to ensure reliable, production-ready solutions.

The role emphasizes Python, FastAPI, and schema-driven data processing, with a strong focus on data quality, testing, and maintaining shared data frameworks.