Senior Data Engineer - Data Platform

ABOUT THE OPPORTUNITY

We are looking for a talented Senior Data Platform Engineer to join the Data Platform team in our established Data domain. We are a central data team composed of Data Platform Engineers and Data Scientists, focused on building data products and self-service features.

We are an exchange. System scalability, performance and engineering productivity matter in everything that we do. The Data domain's mission is to make data a first-class product at Bitvavo, enabling every team to build, ship, and operate data and AI products with confidence. We're seeking exceptional talent to help us build a self-service data platform that makes this a reality.

WHAT YOU’LL BE DOING

- Build and evolve a self-service Data Platform that enables teams to easily and reliably ship data pipelines, ML and AI products.

- Design scalable infrastructure for data ingestion, processing, and consumption, covering batch, real-time analytics, agents, dashboards and reporting.

- Empower the organization with AI-assisted tools and automation to accelerate development, reduce toil, and improve reliability across the stack.

- Own and maintain secure, compliant data infrastructure using Infrastructure as Code, with a strong bias toward automation over manual process.

- Continuously extend the platform to support emerging use cases in machine learning and generative AI, keeping pace with how teams want to use data.

- Mentor teammates by sharing technical knowledge, providing constructive feedback, and raising the bar on engineering excellence.

WHAT WE LOOK FOR

- Experience in tech companies or scale-ups, to deliver impact from Day 1

- Experience with one or more programming languages. We primarily use Python (Java is a plus), but we value problem-solving ability over syntax familiarity.

- Strong understanding of data engineering principles, including distributed data processing, stream processing, and data storage systems.

- Fluency in using infrastructure as code tools (like Terraform) and container orchestration platforms (like Kubernetes) in a cloud-first environment.

- Exceptional communication skills. We expect engineers to take ownership of their work end-to-end and proactively communicate with stakeholders.

- High sense of ownership and accountability. We value engineers who take initiative and advocate for the long-term health of our data ecosystem.

NICE TO HAVE

- Experience building or operating end-to-end ML platforms (feature stores, model training/serving, experiment tracking).

- Hands-on experience with stream processing frameworks such as Apache Flink.

- Experience with OLAP databases or analytical query engines (e.g. ClickHouse, Apache Trino) and open table formats (e.g. Apache Iceberg).