# Data Engineer **Company:** Kreditz **Department:** Product **Role:** Data Engineer **Location:** Danderyd _Kreditz is transforming how businesses assess credit and risk using real-time data and NextGen Credit Scoring solutions._ _As one of Europe’s fastest-growing FinTech scaleups - we’ve earned a place on the_ **_Sifted 100: Nordics & Benelux_** _list in both 2024 and 2025 and most recently, we were proud to receive a_ **_double win at the Credit Management & Compliance Awards 2025_** _, being named both "_ **_Fintech Rocket of the Year_** _" and "_ **_Breakthrough of the Year_** _"._ _With strong growth across the Nordics and Europe, our clients range from leading banks and iGaming giants to fast-moving digital innovators._ **ABOUT THE POSITION** _At Kreditz, data is not just a support function, it is the core of our product. We turn raw bank transactions into real-time insight that powers credit & risk decisions across Europe._ _As we scale, we’re strengthening our data foundation and building a modern, reliable, and cost-efficient data platform. We’re now looking for a Data Engineer to join our Product team and take ownership of our Data Warehouse, pipelines, and reporting enablement across the business._ _This is a hands-on role for someone who loves building scalable data infrastructure and wants to work close to both product and real business impact._ _Your mission is to build and evolve a scalable, reliable, and high-performing data environment that supports both analytics and operational needs._ **WHAT CAN KREDITZ OFFER** - A once-in-a-lifetime growth journey, from startup to Global scaleup - A journey where _everyone_ in the team plays a crucial role for our company’s success - Fun-loving, driven, and passionate colleagues who support each other’s success - A culture that celebrates progress, humility, and teamwork - We win _together_ - 24/7 access to gym, sauna and sports facilities at our office, plus additional wellness allowance - Competitive base salary **RESPONSIBILITES** Some of the main responsibilities you will cover: - **Maintain & Enhance the DWH:** Own the architecture of our Data Warehouse, ensuring it is scalable, cost-effective, and optimized for both analytical and operational needs. - **Pipeline Automation:** Design, build, and maintain robust ETL/ELT pipelines to ingest data from various sources into our AWS ecosystem. Work closely with our MLOPs Engineering team to assist the data pipelines for our AI / ML models - **Stakeholder Enablement:** Work closely with Product, Finance, and Commercial teams to automate internal reporting and create self-service data environments. - **AWS Infrastructure:** Leverage and manage AWS services (such as Glue, Redshift, Athena, Lambda, and S3) to ensure a high-performing data environment. - **Data Quality & Governance:** Implement monitoring and validation frameworks to ensure data integrity and lineage across all systems. - **Collaborate:** Partner with our DevOps and Backend teams to align infrastructure and ensure smooth data flow across the entire Kreditz platform. **WE ARE LOOKING FOR** We focus on practical engineering skill, strong foundations, and the ability to build systems that last. In addition to that we believe you have: - **BSc / MSc** in a quantitative subject, i.e., Physics, Engineering, Mathematics, Computer Science or equivalent. - **3+ years** of experience in Data Engineering or a similar role focused on data infrastructure. - **Expert-level SQL** skills for complex transformations and performance tuning. - **Proficiency in Python** for building pipelines and automating tasks. - Strong hands-on experience with **AWS** (specifically services like **Redshift/Snowflake, S3, Glue** , and **Lambda** ). - Solid understanding of **data warehousing concepts** (e.g., **Star Schema, Kimball** ) and modern data stack tools. - Experience with **orchestration tools** (e.g., Airflow, Dagster) and **CI/CD workflows** (i.e., GitHub Actions). - Ability to translate complex technical data structures into clear insights for non-technical stakeholders. _MERITORIOUS SKILLS_ - _Experience with Infrastructure as Code (Terraform)._ - _Experience from FinTech, Open Banking, or working with highly regulated data._ - _Familiarity with BI tools (e.g., AWS QuickSight,  PowerBI...etc)_ **WHY JOIN NOW?** At Kreditz, you’ll work with data that matters, powering real-time financial decisions across Europe. You’ll have real ownership, real impact, and the opportunity to shape the data foundation of a fast-growing FinTech scaleup. **APPOINTMENT OF ROLE** Q2/Q3 2026 **SCOPE** Full-time, permanent employment (tillsvidareanställning) **SALARY** Competitive salary **REPORTING** You will be reporting to the company’s CPO **WORKPLACE** Danderyd, Stockholm **RECRUITMENT PROCESS** Ongoing selection, we review candidates continuously. _Last day for applications 31st March_ **CRIMINAL RECORDS EXTRACT** As part of our recruitment process we will ask you to present a clean criminal records extract **CONTACT** Lorenzo Puccio, VP Strategic Operations, [Lorenzo@kreditz.com](mailto:Lorenzo@kreditz.com) For more information about the role feel free to reach out to our CPO, Spilios Tzouras, [spilios.tzouras@kreditz.com](mailto:spilios.tzouras@kreditz.com) [Apply for this position](https://careers.kreditz.com/jobs/7220214-data-engineer/applications/new)