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
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, [email protected]
For more information about the role feel free to reach out to our CPO, Spilios Tzouras, [email protected]
