data engineer for healthcare data

Statista is a global business data platform that provides reliable, easy-to-use data, analytics products, and services to support fact-based decision-making worldwide. Its Healthcare Platform transforms international hospital data into structured, queryable healthcare data assets.

• Build, optimize, and operate reliable ELT pipelines using Python, SQL, and Prefect/Airflow;
• Ingest data from heterogeneous international sources, APIs, databases, and lakehouse storage including S3 and Apache Iceberg;
• Drive entity resolution and master data management for international hospital entities;
• Map raw source data to canonical structures and maintain standardized vocabularies such as ICD/OPS and specialty taxonomies;
• Establish data contracts and schema management with Pydantic and dbt contracts;
• Ensure dataset reproducibility, data lineage tracking, and automated validation across platform pipelines;
• Optimize data storage, query execution, and compute costs across AWS and Snowflake;
• Implement automated testing and deployment workflows for data pipelines using GitHub Actions and Terraform;
• Partner with Analytics Engineers, Data Scientists, and domain experts to deliver documented, research-grade, production-ready datasets.

• Advanced Python and analytical SQL for complex data ingestion across diverse file formats, REST APIs, databases, and cloud lakes;
• Hands-on experience with Prefect, Airflow, or Dagster;
• Practical experience with entity resolution or record linkage frameworks;
• Experience with schema management and data contracts using Pydantic, dbt contracts, or JSON Schema;
• Deep hands-on experience in an AWS production environment, including S3 and ECS/EC2;
• Experience with cloud data warehouses, including Snowflake;
• Proven experience automating data pipeline deployments, integration tests, and validation workflows via GitHub Actions;
• 3+ Years of experience in data engineering building production pipelines and data platforms;
• Experience taking a core platform or product through build, launch, and iteration within one organization;
• Bachelor's or Master's degree in Computer Science, Data Science, Software Engineering, or a related quantitative field;
• Strong analytical and systems mindset;
• Ability to transform messy, heterogeneous international data into clean, well-governed, highly structured data assets;
• Fluent English;
• Highly structured, curious, detail-oriented, and collaborative working style;
• Nice to have: Knowledge of ontology or semantic frameworks, international medical classifications or vocabularies, metadata registries and lineage catalogs, Terraform, healthcare domain experience, German.

• Work from abroad up to 30 calendar days a year;
• Hybrid work and flex-time;
• International team and social events;
• Subsidized urban mobility and access to fitness and wellness options;
• Free access to Langdock;
• Career and training opportunities;
• Attractive locations and modern offices;
• Mental health support with OpenUp;
• Some benefits apply only to the German entity and to Junior-level roles or above.