Data Engineer
About this role
At Qred, we’re building the bank for small businesses. Since launching 10 years ago, we’ve grown from startup to profitable fintech scale-up, now generating over 1 billion SEK in annual revenue and supporting 50,000+ entrepreneurs across Northern Europe. We combine smart technology, real data, and human judgment to make financing simple, fast, and fair. With bold growth plans and strong momentum across multiple markets, we’re now looking for a Data Engineer for the next phase of growth.
About the Role
As a Data Engineer at Qred, you will play an essential role in building and improving the foundation of our data lake and warehouse. This role offers an end-to-end view of how data flows through a modern Fintech, giving you the ownership to bridge the gap between technical execution and real-world business impact. You will be on a mission to ensure our data is accessible, reliable, and ready for Scaling.
Responsibilities
- Build and iterate on automated data pipelines to ensure high-quality data integration from various sources.
- Assist in the management of our data warehouse and lake to maintain reliable storage and processing.
- Translate business requirements into clean, analytics-ready data models in collaboration with our analysts and engineers.
- Write comprehensive tests and maintain clear data lineage to ensure high standards of data quality and governance.
- Deploy infrastructure updates using IaC tools like AWS CDK to maintain a modern, cloud-native environment.
- What we’re looking for
- We are looking for an ambitious professional with a structured mindset and a strong desire to learn within a fast-paced environment. You should be comfortable taking initiative and driving alignment with your peers to solve technical challenges. You are motivated by the chance to build scalable frameworks and contribute to a high-growth financial platform.
Requirements
- A few years of experience, or a strong academic and internship background, focused on ETL processes and d