Software/Data Engineer
Python Developer / Data Engineer – FinTech Scale-Up
Location: Hybrid (3 Days per Week in Office)
Tech Stack: Python, SQL, Snowflake, Databricks, Linux
Experience: 1+ Years
Want to build the data platform behind some of the world's most sophisticated investors?
We're partnered with a high-growth FinTech scale-up that provides market intelligence and data products to leading hedge funds, investment managers, banks, and trading firms globally. Their clients rely on the platform to make critical investment decisions, and as the business continues to grow, they're investing heavily in the engineering team responsible for powering it.
This is an opportunity to work on genuinely challenging technical problems involving large-scale data processing, backend systems, cloud infrastructure, and platform reliability, all within a company that places engineering at the heart of its success.
Why Join?
- Build systems used by some of the biggest names in global finance.
- Work with huge volumes of real-world market data.
- Join a world-class engineering team with a strong culture of mentorship and technical excellence.
- Gain exposure to modern data engineering and backend technologies.
- High ownership environment where engineers have real influence and autonomy.
- Fast-growing, profitable business with ambitious plans for further expansion.
- Hybrid working with 3 days per week in the office.
The Role
You'll help build and scale the backend infrastructure and data platform that underpins the company's products.
Working closely with engineers, data specialists, and product teams, you'll be responsible for ensuring data flows efficiently through the platform while maintaining high levels of reliability, performance, and scalability.
Responsibilities include:
- Developing backend services and applications using Python.
- Designing and maintaining scalable data pipelines.
- Building ETL workflows and data processing systems.
- Working extensively with SQL and large datasets.
- Optimising platform performance and reliability.
- Contributing to infrastructure and platform engineering initiatives.
- Supporting production systems and helping drive operational excellence.
What They're Looking For
- 1+ years of commercial experience in Software Engineering, Data Engineering, or a related field.
- Strong Python development skills.
- Good SQL knowledge.
- Experience working with Snowflake, Databricks, or similar data platforms.
- Familiarity with Linux environments.
- Strong problem-solving ability and attention to detail.
- Passion for building scalable, reliable systems.
Nice to Have
- Experience with cloud platforms (AWS, Azure, or GCP).
- Knowledge of distributed systems.
- Experience building large-scale data pipelines.
- Exposure to financial data or financial markets.
- Understanding of infrastructure, monitoring, or platform engineering concepts.
The Opportunity
The scale and complexity of the data being processed creates fascinating engineering challenges. Every day you'll be working on systems responsible for collecting, transforming, analysing, and delivering data that drives decisions across global financial markets.
You'll be surrounded by exceptional engineers, gain exposure to cutting-edge data technologies, and have the opportunity to make a tangible impact on a platform relied upon by some of the world's most sophisticated financial institutions.
Whether you're coming from a software engineering or data engineering background, this is an excellent opportunity to accelerate your career while working on genuinely meaningful technical problems.
Interested?
If you're a Python Developer or Data Engineer looking to work with large-scale data, modern engineering practices, Linux-based systems, and a world-class team building products for the global financial industry, I'd be happy to tell you more.