Job Description

About the job

You will be joining a growing AI team with 10 other members and a core mission to turn data into measurable business value. Your primary role is to build and operate reliable data pipelines in a young scaleup on track for 300% YoY growth.

Your work will support projects ranging from AI voice agents and smart scheduling systems to large-scale data products serving 100,000+ merchants.

What you'll do

• Design, build, and own batch and streaming pipelines in Databricks (PySpark & Lakebase).
• Model data for analytics and ML; maintain clean, well-documented tables in Unity Catalog.
• Work with external APIs and internal teams to integrate new data sources
• Implement data quality, lineage, and observability.
• Optimize cost and performance
• Partner with data scientists and product teams to deliver features.
• Automate deployment and testing; keep pipelines simple and maintainable using Databricks workflows.

Who you are

• 3+ years of experience as a data engineer.
• Experience building production-grade data pipelines with PySpark and SQL.
• Pragmatic and flexible mindset. You apply best practices when they help, bend them when they don’t.
• Solid understanding of ETL/ELT design, data modelling, and partitioning strategies.
• Databricks experience or equivalent
• AWS familiarity (S3, IAM)

Why Flatpay?

• Impact Ship data solutions creating real impact in one of Europe’s fastest growing companies.
• Meaningful products: Build pipelines and data infrastructure that support merchants and colleagues make better decisions, act on insights, and improve workflows.
• Competitive salary
• Vacation 6 weeks paid
• Relaxed atmosphere with (optional) social events such as minigolf evenings, and periodic hackathons & company parties in exciting off-site locations.
• Flat structure and a strong action-over-process culture
• Co-workers with a passion for data engineering and AI, and a passion for sharing knowledge daily.
• Pension and health insurance, as well as almost unlimited company merch