At 0TO9, we don’t just build companies; we build data-driven machines. As a Venture Builder, our success depends on how we capture, process, and leverage insights across our entire portfolio. We are looking for a Data Engineer who wants to move away from maintaining legacy systems and instead start from "Zero" to build scalable, modern data architectures.
The Role: Engineering the FlowYou won't just be "managing databases." You will be the architect of our data infrastructure, ensuring that every venture we launch has a world-class foundation for analytics, AI, and operational efficiency.
What you’ll actually do:
Develop and maintain scalable data pipelines (ETL/ELT) that integrate diverse sources from our fintech ecosystem.
Work with modern cloud stacks (AWS/GCP/Azure) to ensure our data environment is reproducible, secure, and fast.
Work closely with CTOs of our portfolio companies to solve complex data challenges from day one.
Ensure our data warehouse (Snowflake/BigQuery/Redshift) is optimized for both real-time insights and long-term analytics.
We value clean code, automated workflows, and a "builder" mentality.
Pro-level Python or Scala, and you speak SQL like a native language.
Experience with orchestration (Airflow/Prefect), dbt, and modern streaming (Kafka/Flink) is a huge plus.
Deep understanding of cloud infrastructure and containerization (Docker/Kubernetes).
You don't just fix bugs; you build systems that prevent them. You understand that "done" means documented and automated.
See your code impact multiple startups simultaneously. No corporate red tape.
You get a seat at the table to decide which tools and frameworks we use.
Join a truly international team with hubs in Stockholm, Berlin, and Warsaw.
We are builders. We provide the environment for you to grow as we scale.