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описание
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.
задачи
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.
требования
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.
условия
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.