At Statista, we’re all.
By providing reliable and easy-to-use data as well as various data analytics products and services, we empower people worldwide to make fact-based decisions.
Founded in Hamburg in 2007, we have quickly grown into a global company with offices in major cities such as London, New York, Berlin and Tokyo.
And we still have a lot of plans.
Our constant growth does not only prove our success, but also keeps creating new development and career opportunities for our employees.
We value and celebrate our diverse culture.
You are welcome here for who you are, no matter where you come from, what you look like, or whether you prefer bar graphs to pie charts.
Your story matters – keep writing it as part of our team.
Are you ready to join us?About the RoleAs Data Engineer on our Healthcare Platform, you will own the foundational data ingestion, entity-resolution, and platform infrastructure end-to-end.
You will design and operate scalable batch/streaming data pipelines, harden platform orchestration, and ensure system reliability, security, and cost efficiency.
A central challenge of this role is building and operationalizing our unified healthcare data ontology—a consistent semantic model covering hospitals, departments, specialties, metrics, and classification standards.
Working closely with Analytics Engineers, Data Scientists, and Methodology experts, you will turn heterogeneous, multi-country hospital data into a coherent, highly queryable data asset.
Key ResponsibilitiesPipeline Infrastructure & Orchestration: Build, optimize, and operate reliable ELT pipelines (using Python, SQL, and Prefect/Airflow) to ingest data from heterogeneous international sources, APIs, databases, and lakehouse storage (S3, Apache Iceberg).
Healthcare Ontology & Entity Resolution: Drive the implementation of entity resolution and master data management (MDM) for international hospital entities, mapping.