Data Engineer: Build Scalable Pipelines & Data Platform

Hub

København

On-site

DKK 550,000 - 750,000

Full time

14 days+

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Job summary

Flatpay is a fast-growing Nordic fintech hiring 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 CI/CD, monitoring, and architecture.

You’ll collaborate with analysts and engineers to turn business requirements into robust data solutions that help Flatpay move faster and smarter.

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 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 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
Data modeling
CI/CD
Git
Testing
English

Education

Bachelor's or Master's in CS/IT

Tools

Databricks
dbt
Airflow
Azure/AWS/GCP
Observability tools

Job description

Flatpay is a fast-growing Nordic fintech hiring 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 CI/CD, monitoring, and architecture.

You’ll collaborate with analysts and engineers to turn business requirements into robust data solutions that help Flatpay move faster and smarter.

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