At FoundryOS, we believe in autonomous teams, iterative development, and a culture of continuous improvement and knowledge sharing. We focus on building the right products, meeting client needs, and delivering quality that exceeds expectations.
We operate multiple build squads that work independently but align to shared goals. Team decisions drive our roadmaps from client needs to commercial strategy and regulatory change.
We value deep exposure to our products, clients, and the fintech industry. Your growth comes from hands‑on experience rather than theory.
We build our product and tech function with focus on:
- Understanding FoundryOS capabilities, industry needs and client use cases
- Quality as the heart of everything we do, not just a gate in a process
- Leading product roadmaps, planning and establishing best practices
- Developing expertise in the financial services industry and regulatory environments
- Building and maintaining exceptional client relationships through team excellence
- Zero‑to‑one function building — creating product delivery frameworks, engineering performance systems, and product delivery processes from the ground up
What you’ll be doing
- Design and develop our core data platform within the FoundryOS product
- Work with a team of Data Engineers and Data Scientists on overall build
- Collaborate with senior engineers to size and build the work required to develop the data platform
- Partner with Data Science to ensure AI and ML capabilities are built to drive the FoundryOS platform as value for our customers
Location
We describe ourselves as “remote but not remote only”. Work can be done anywhere, but relationships and trust are best built face‑to‑face. If you can deliver the best outcome for the company—whether at home, in our London office, or meeting partners—you’re a fit.
Benefits
- 25 days holiday
- Birthday day off
- Workplace Pension Scheme
- Private Medical Insurance
- Private Dental Insurance
- Group Income Protection
- Group Life Assurance
- 24‑hour mental health support
- Equity Scheme (coming soon!)
Qualifications
- 2+ years experience as a data engineer working with Cloud data platforms
- Understanding of SQL and NoSQL databases, including data modelling and development
- Strong experience of data pipelines and data transformation
- Experience in AI and ML ops
- Knowledge of building and running banking‑grade Cloud‑based SaaS solutions
- Experience of data governance and data security
- Attention to detail
- Excellent communication skills
- Flexible and focussed on solutions
- Organised and self‑sufficient
We are committed to diversity and will always accommodate your needs during our hiring process.
We don’t use AI or chatbots for interviewing; you will always talk with a real person.
Step 1: Meet the recruiter
If you meet the grade, we’ll have a short discussion to understand you better and get to know us and the role.
Step 2: First (technical) interview
The team you could be working with will interview you. Some roles include a technical part of the interview process.
Step 3: Second (final) interview
A second stage interview will go deeper into you and how you align with us as a company.
Step 4: Decision
We will make a decision and let you know why. We will never ghost you or give generic feedback.
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