About Flatpay

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