Dataengineer

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 Contact info