6 дней назад
Senior Data Engineer (Healthcare)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Engineer (Healthcare): Building and operating scalable healthcare data ingestion pipelines and platform infrastructure with an accent on entity resolution, ontology development, and data governance. Focus on transforming heterogeneous international hospital data into reliable, queryable datasets, optimizing AWS and Snowflake performance, and automating validation and deployment workflows.
Location: Hybrid work in Hamburg or Berlin, Germany, with flex-time. Work from abroad is available for up to 30 calendar days per year.
Company
is a global business data platform that provides reliable data, analytics products, and services for fact-based decision-making.
What you will do
- Build, optimize, and operate ELT pipelines using Python, SQL, Prefect or Airflow, and diverse international data sources.
- Implement entity resolution and master data management for international hospital entities.
- Develop a unified healthcare data ontology covering hospitals, departments, specialties, metrics, and classification standards.
- Establish data contracts, schema governance, lineage tracking, reproducibility, and automated validation.
- Optimize storage, query performance, compute costs, security, and reliability across AWS and Snowflake.
- Partner with Analytics Engineers, Data Scientists, and methodology experts to deliver documented, production-ready datasets.
Requirements
- 5+ years of experience building production data pipelines and data platforms.
- Advanced Python and analytical SQL skills, with experience ingesting file formats, REST APIs, databases, S3, and Apache Iceberg.
- Hands-on experience with Prefect, Airflow, or Dagster, and with entity resolution or record linkage frameworks.
- Production experience with AWS, including S3 and ECS or EC2, combined with Snowflake experience.
- Experience with data contracts or schema management using tools such as Pydantic, dbt contracts, or JSON Schema.
- Fluent English required; German is a plus. A bachelor's or master's degree in Computer Science, Data Science, Software Engineering, or a related quantitative field is expected.
Nice to have
- Knowledge of RDF/OWL, SKOS, Neo4j, LinkML, knowledge graphs, or healthcare terminologies such as SNOMED CT, ICD/OPS, or FHIR.
- Experience with metadata and lineage tools such as OpenMetadata, DataHub, or dbt docs.
- Proficiency with Terraform and healthcare domain knowledge.
Culture & Benefits
- Hybrid work, flex-time, and the option to work from abroad for up to 30 calendar days per year.
- International team and social events.
- Subsidized urban mobility, fitness and wellness options, and mental health support through OpenUp.
- Career and training opportunities, modern offices, and access to Langdock.
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