Data Engineer

Kreditz; Danderyds kommun; On-site; SEK 900,000 - 1,200,000; Full time

Benefits offered by this job

24/7 access to gym and wellness facilities

Competitive base salary

Fun-loving, driven colleagues

Job summary

A leading FinTech company in Danderyd is seeking a Data Engineer to own their data architecture and enhance data pipelines. You will design ETL processes, work closely with teams for automated reporting, and leverage AWS services like Glue and Redshift. Suitable candidates should have a BSc/MSc along with over 3 years of Data Engineering experience. This is a full-time, permanent role with a competitive salary in a fast-growing environment.

Qualifications

• 3+ years of experience in Data Engineering or similar role.
• Solid understanding of data warehousing concepts.
• Experience from FinTech or working with regulated data.
• Proficiency in Python for building pipelines and automation.
• Strong hands-on AWS experience (Redshift, S3, Glue, Lambda).
• Knowledge of data warehousing concepts and modern data stack tools.
• Experience with orchestration tools (Airflow, Dagster) and CI/CD workflows (GitHub Actions).
• Ability to translate complex technical data structures into clear insights for non-technical stakeholders.

Responsibilities

• Own the architecture of Data Warehouse ensuring scalability.
• Design and build ETL/ELT pipelines for data ingestion.
• Work closely with stakeholders for internal reporting.
• Leverage AWS services to ensure high-performance data environment.
• Implement data quality and governance across systems.
• Collaborate with DevOps and Backend teams to align data workflows.

Skills

Expert-level SQL skills

Proficiency in Python

Strong hands-on experience with AWS

Experience with orchestration tools

Ability to translate technical data

Airflow

Dagster

CI/CD

Data storytelling

Education

BSc / MSc in a quantitative subject

Tools

AWS Glue

AWS Redshift

Airflow

Glue

Lambda

Airflow

Dagster

GitHub Actions

Terraform

Job description

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

RESPONSIBILITIES

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, [e-mail]
For more information about the role feel free to reach out to our CPO, Spilios Tzouras, [e-mail]

Intelligent credit- & risk decisions made easy with open banking & AI‑technology