3 months ago
Hamburg, Germany or Berlin, GermanyMid Level
Responsibilities
- Build, optimize, and operate reliable ELT pipelines using Python, SQL, Prefect, or Airflow for heterogeneous international data sources.
- Implement entity resolution and master data management for international hospital entities and maintain standardized healthcare vocabularies.
- Establish data contracts, schema management, reproducibility, lineage tracking, and automated validation across platform pipelines.
- Optimize storage, query execution, compute costs, security, and performance across AWS and Snowflake.
- Automate data pipeline testing, integration validation, deployment workflows, and infrastructure management.
- Partner with Analytics Engineers, Data Scientists, methodology experts, and domain specialists to deliver documented, production-ready datasets.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Science, Software Engineering, or a related quantitative field.
- At least 3 years of experience building production data pipelines and data platforms, including sustained ownership of a core platform or product through build, launch, and iteration.
- Advanced Python and analytical SQL experience across diverse file formats, REST APIs, databases, and cloud data lakes.
- Hands-on experience with Prefect, Airflow, or Dagster and entity-resolution frameworks such as Splink, dedupe, or recordlinkage.
- Deep production experience with AWS, including S3 and ECS/EC2, and cloud data warehouses such as Snowflake.
- Experience automating pipeline deployments, integration tests, and validation workflows with GitHub Actions.
- Knowledge of ontology and semantic frameworks, knowledge graphs, healthcare classifications, metadata and lineage tooling, or Terraform is preferred.
- Fluent English is required; German is a plus.
- Strong analytical and systems mindset with structured, detail-oriented, and collaborative working practices.
Benefits
- Work from abroad for up to 30 calendar days per 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.
- Modern offices and attractive locations.
- Mental health support with OpenUp.
Categories
Data Engineering
About Statista
Statista builds a subscription-based business data platform that aggregates statistics, market research, and consumer insights for companies, consultants, educators, and media. It also offers custom research, data analytics products, and downloadable infographics across thousands of topics. Founded in 2007 and headquartered in Hamburg, Statista is majority-owned by Ströer Media, with additional offices in New York, London, Singapore, Tokyo, Gurugram, and Berlin.