Data Engineer

Hub; København; On-site; DKK 550,000 - 750,000; Full time

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

About Flatpay

Flatpay is not just another payment solution; we're dedicated to innovating the market for payment solutions and financial services in the SME segment with our customer-centric and transparent services.

We've grown into one of the fastest-growing fintech companies out of the Nordics and Denmark's fastest unicorn company. Today, we're more than 2,000 colleagues across Europe, building products that make a real difference for our customers.

We're ambitious, move fast, and like to challenge the status quo - but we also believe work should be fun. We celebrate wins, help each other out, and create an environment where people can do great work while genuinely enjoying the journey.

About the job

As a Data Engineer at Flatpay, you’ll play a key role in designing, building, and maintaining the data platform that powers our insights and daily operations. You’ll work across systems, pipelines, and departments to ensure data is reliable, performant, and available where it matters most.

Your focus will be on developing and maintaining scalable ETL/ELT pipelines, managing data models, and improving our infrastructure. All to enable smooth data-driven decision-making across the business.

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

What you'll do

• 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

Who you are

You are a pragmatic, flexible, and detail-oriented problem solver who enjoys building clean, efficient, and scalable data systems. You understand when to apply best practices and when to adapt them for real-world constraints.

You’re passionate about designing reliable data infrastructure, automating workflows, and collaborating with others to build data platforms that scale. You communicate clearly and confidently in English, our primary business language, and you’re comfortable working cross-functionally with both technical and non-technical stakeholders.

Must-haves

• 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 (e.g., Git), and testing best practices

• Ability to think logically and systematically when building and scaling data pipelines

• Proactive and collaborative mindset with strong communication skills

• Business-level proficiency in English

Nice-to-haves

• Experience with Databricks or similar modern data platforms

• Familiarity with data orchestration and modeling tools (e.g., dbt, Airflow, Prefect, or Azure Data Factory)

• Exposure to cloud infrastructure (e.g., AWS, Azure, or GCP)

• Experience with monitoring, alerting, and observability systems

We’d still love to hear from you if…

You don’t check every box but you’re a Python- and SQL-savvy problem solver who loves to learn, adapt, and improve data systems. If you’re curious, collaborative, and excited about shaping Flatpay’s data platform — we encourage you to apply!

Why Flatpay

Joining Flatpay means stepping into a dynamic environment where innovation is encouraged, and teamwork is celebrated. Here, you’ll have the opportunity to make a meaningful impact, contributing to our mission of empowering merchants to succeed.

With us, you’ll experience an ambitious drive to constantly push boundaries and redefine what's possible. While we don’t take ourselves too seriously, we take our responsibility towards our people very seriously. We welcome driven, low-ego individuals who live our values and want to grow with us.