Data Engineer to Kreditz

Academic Work Sweden AB; Stockholms kommun; On-site; SEK 550,000 - 750,000; Full time

Benefits offered by this job

24/7 access to a gym

Wellness allowance

Competitive base salary

Job summary

Kreditz is looking for a Data Engineer to take ownership of the data warehouse and pipelines. This role is pivotal within one of Europe's leading FinTech companies, where data defines the core product.

The ideal candidate will enhance the data architecture and work with a modern tech stack including AWS services. This role offers opportunities for significant professional growth.

Qualifications

• Proven experience as a Data Engineer focusing on data infrastructure.
• Solid understanding of data warehousing concepts like Star Schema.
• Ability to translate complex technical data structures into clear insights.

Responsibilities

• Maintain and enhance the Data Warehouse architecture.
• Design and build robust ETL/ELT pipelines within the AWS ecosystem.
• Automate internal reporting and create self-service data environments.

Skills

Strong practical engineering skills with SQL

Experience in programming (e.g., Python)

Hands-on experience with AWS

Data warehousing concepts knowledge

Experience with orchestration tools (e.g., Airflow)

Fluency in English

Education

BSc / MSc in a quantitative subject

Tools

AWS (Redshift, Glue, Lambda)

BI tools (e.g., AWS QuickSight, PowerBI)

Job description

As a Data Engineer at Kreditz, you will have a multifaceted and vital role. You will step into one of Europe's fastest-growing FinTech scaleups and take full ownership of the company's Data Warehouse, pipelines, and reporting enablement. We believe this role is perfect for someone who loves building scalable data infrastructure and wants to work close to both product and real business impact. Here, you will become part of a driven organization with endless opportunities for growth!

About the role

You will be part of the Product team and play a crucial role in Kreditz's continued growth journey. At Kreditz, data is not just a support function - it is the core of the entire product. The company turns raw bank transactions into real-time insights that power credit and risk decisions across Europe.

As a Data Engineer, your mission is to build, evolve, and maintain a scalable, reliable, and high-performing data platform. You will work closely with the business to strengthen the data foundation and enable smart, cost-efficient reporting and analytics for both internal and external stakeholders.

What Kreditz Offers You

• A unique growth journey: The chance to be part of a once-in-a-lifetime journey from startup to global scaleup.
• Real impact: A role where everyone in the team plays a crucial part in the company's success, and where you get true ownership of the data infrastructure.
• A strong company culture: A fun-loving, driven, and passionate work environment that celebrates progress, humility, and teamwork — we win together.
• Perks & Benefits: 24/7 access to a gym, sauna, and sports facilities at the office, plus a wellness allowance and a competitive base salary.

Work tasks

• Maintain and enhance the Data Warehouse architecture for scalability and cost-efficiency.
• Design and build robust ETL/ELT pipelines within the AWS ecosystem.
• Automate internal reporting and create self-service data environments for stakeholders.
• Manage AWS services including Glue, Redshift, Athena, and Lambda.
• Implement monitoring and validation frameworks to ensure data integrity.
• Collaborate with DevOps and Backend teams to align infrastructure.
• Support AI and ML models by assisting with specialized data pipelines.

We are looking for

• BSc / MSc in a quantitative subject, i.e., Physics, Engineering, Mathematics, Computer Science or equivalent.
• Proven experience working as a Data Engineer or in a similar role focusing on data infrastructure.
• Strong practical engineering skills with a solid foundation in SQL and programming (e.g., Python).
• 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.
• Professional fluency in English, both written and spoken, as this is the company’s working language.

It is meritorious if you have

• 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).

To succeed in the role, your personal skills are

• Orderly
• Stable
• Responsible
• Intellectually curious