Who are we?

Flowpay is a Fintech startup that is passionate about changing the SME (Small and Medium Size Companies) funding landscape. Our goal is to make it easier for them to access finance and enable them to grow! Why do we think we have what it takes? Because we are a tech first company using real-time data and AI to truly understand SMEs!

We act as a Direct Lender to SMEs, provide an Embedded Finance Infrastructure for SME Platforms & Risk as a Service (RaaS) to Lending Institutions.

🚀 Alumni of the world's largest accelerator TECHSTARS. In 2022, We became the only Czech startup in the last seven years to be part of the Techstars + ABN AMRO Future of Finance programme and got the Mastercard Fintech of the Year 2024 award.

💡 Vodafone Nápad roku 2023. Flowpay is the winner of the Vodafone nápad roku 2023 competition as the Profinit Technology Project of the Year category.

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Who are we looking for?

We are looking for a Data Engineer to join our fully remote tech team.
You'll play a key role in designing and building data pipelines and infrastructure that power our fintech platform and helping SMEs grow through better access to funding.
You'll be responsible for building scalable data pipelines, working with APIs and third-party data sources (e.g. e-commerce, PoS, open banking), modeling data for analytics and operations, and collaborating closely with Data Scientists, Product Managers, and Engineers.

Your responsibilities

Design, build, and maintain scalable and secure data pipelines on Microsoft Azure
Develop and manage ETL/ELT processes using Azure Data Factory, Azure Functions, and Python
Work with structured and semi-structured data from various e-commerce and PoS platforms and APIs, open banking data, tax reports, accounting journals, public registers, etc.
Model and manage data in PostgreSQL for analytics, reporting, and operational systems
Collaborate with data scientists, product managers, and engineers to understand data needs
Ensure data quality, integrity, and governance across all systems
Implement monitoring, logging, and alerting for data workflows
Continuously optimize pipeline performance and reduce cost overheads

How do we imagine you?

3+ years of experience in data engineering or similar roles
Strong command of Python for data processing and scripting
Advanced SQL skills, with experience in PostgreSQL
Hands-on experience with Microsoft Azure data services, such as:
- Azure Data Factory
- Azure Blob Storage / Data Lake
- Azure Functions
- Azure SQL / Azure Database for PostgreSQL
Experience with version control (e.g., Git) and CI/CD pipelines
Familiarity with data modeling, warehousing, and performance tuning
Strong problem-solving skills and ability to work independently
Startup mindset: flexible, collaborative, and delivery-focused

Nice to have:

Experience with infrastructure-as-code (e.g., Terraform, Bicep)
Exposure to Azure Synapse or Power BI
Background in fintech or regulated environments
Experience with REST APIs and integrating third-party data sources

What can you look forward to?

Gain experience in the inspiring environment of a fast-growing startup
Mentoring from more experienced colleagues and developing your potential
Home-office and flexible working hours
Opportunities for career growth and training

In our Flowpay team you'll find experience, but also a friendly attitude. Each member is always available and ready to help you with anything. 🚀

With Flowpay, you have the opportunity to experience what the world of business is all about and get to the table with interesting people who will help you in your long-term growth. We are a promising startup where you can participate in the development of a product that helps SMEs with financing. We like to innovate (follow trends) and try to implement and work with the latest tools and technologies. Feel free to get in touch and we can discuss the rest in person. 🙌

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