Data Engineer: Build Scalable Data Pipelines for Fintech

Flatpay ApS; København; Hybrid; DKK 520,000 - 680,000; Full time

Job summary

Flatpay ApS is seeking a Data Engineer to design, build, and maintain the data platform powering insights and daily operations. You’ll develop scalable ETL/ELT pipelines, manage data models, and improve infrastructure.

You’ll work with analysts and engineers to translate business needs into robust technical solutions that help Flatpay move faster and smarter. You’ll collaborate across systems and departments to ensure data is reliable, performant, and available where it matters most.

Qualifications

• 1-3 years of experience as a Data Engineer or similar role
• Strong Python and SQL skills in production environments
• Solid understanding of ETL/ELT design and data modeling principles
• Experience with CI/CD workflows, version control (Git), and testing best practices
• Ability to think logically and systematically when building data pipelines
• Proactive and collaborative mindset with strong communication skills
• Business-level proficiency in English

Responsibilities

• Design and write maintainable, scalable, and testable data solutions
• Develop and optimize ETL/ELT pipelines for data ingestion, transformation, and delivery
• Collaborate with the team to develop, test, and deploy new functionality and improvements
• Continuously enhance our CI/CD pipelines, monitoring, and alerting infrastructure
• Lead and take ownership of your own projects within the team
• Contribute to building and maintaining internal libraries and shared platform components
• Actively participate in improving systems from an architectural and performance standpoint

Skills

Python

SQL

ETL/ELT design

CI/CD workflows

Git

Testing best practices

Data modeling

English communication

Tools

Databricks

dbt

Airflow

Azure Data Factory

Job description

Flatpay ApS is seeking a Data Engineer to design, build, and maintain the data platform powering insights and daily operations. You’ll develop scalable ETL/ELT pipelines, manage data models, and improve infrastructure.

You’ll work with analysts and engineers to translate business needs into robust technical solutions that help Flatpay move faster and smarter. You’ll collaborate across systems and departments to ensure data is reliable, performant, and available where it matters most.