Data Engineer
Senior Data Engineer at Fairlo, a Stockholm-based consumer lending fintech transitioning into a bank. You'll lead the redesign and rebuild of the data platform — hands-on with Snowflake and dbt — establishing data models, quality monitoring, and governance to make data reliable and AI-ready, in a hybrid role based mainly at the Stockholm office.
- Compensation
- Not disclosed
- Location
- Stockholms län, Sweden
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Significant data engineering experience, including hands-on design/rebuild of complex data warehouses or platforms
- Expert-level proficiency in dbt, with experience building, testing, and maintaining complex, scalable data models
- Deep Snowflake expertise: architecture, data modelling, performance optimisation, scalability
- Familiarity with modern data pipelines, including orchestration tools (e.g. Airflow, Dagster) and change data capture (CDC)
- Strong data quality and governance experience
- Curious and proactive about AI and how it can improve data engineering work
- Understands how data connects to business outcomes; works well with technical and non-technical colleagues
- Takes ownership, challenges existing solutions, and drives initiatives forward
- Clear communication; fluent in English
Nice to have
- Experience building data foundations for AI, machine learning, or advanced analytics
- Familiarity with modern AI tools, LLMs, or AI-assisted data engineering workflows
- Experience with data cataloguing, metadata management, and data observability tools
- Experience in fintech, banking, or other regulated industries
- Experience establishing new structures and standards in a fast-growing organisation
Full description
About Fairlo
The story of Fairlo began when our founders, Jimmy and Shamon, saw first‑hand how unfair and predatory lending practices can trap people in cycles of debt. Their mother was misled by a major bank – an injustice that inspired them to build something radically different.
Fairlo was created to reimagine credit through transparency, flexibility, and respect.
Since launching in 2018, we've helped tens of thousands of people access fairer, more flexible credit. Today, we have around 50,000 active customers, an outstanding Trustpilot rating, and a team of passionate people across Stockholm, Crete, and the UK.
We're a tight‑knit team of around 45 people, united by kindness, courage, collaboration, and common sense. Backed by experienced investors, we've built something we're incredibly proud of. But what comes next is even more exciting.
Where we're going
Fairlo is becoming a bank. And we're building an AI-native organisation along the way. We're entering a new chapter where technology, data, and AI will play an even bigger role in how we operate, make decisions, develop products, and create value for our customers. Our ambition is to become truly AI‑native – not simply adding AI tools to existing processes, but rethinking how we work from the ground up. We want to use AI to move faster, make smarter decisions, automate what can be automated, and free up our people to focus on the things that create the most value. And to make that possible, we need something fundamental: exceptional data foundations.
Reliable, accessible, well‑structured data isn't just important for reporting and analytics. It's what will enable us to unlock the full potential of AI across Fairlo – from smarter insights and decision‑making to intelligent automation and entirely new ways of building financial services.
That's where you come in.
The mission: why this role exists
This is a role for a builder who cares about what happens after launch. You’ll design and build the data foundations for Fairlo’s next chapter, with maintainability built in from the start. We're looking for a proactive, experienced Senior Data Engineer to help lead the fundamental redesign and rebuild of our data platform.
You’ll work closely with our existing Data Engineer in Stockholm, combining your expertise, ideas, and perspectives to shape our data architecture, establish the standards and practices that will guide us forward, and create a platform that people across Fairlo can genuinely trust and build upon.
We want someone who sees beyond the immediate task. Someone who identifies problems before they become blockers, challenges existing solutions, and has the confidence and expertise to turn ideas into action.