Data Engineer
Flatpay ApS
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’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.
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.
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