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Accountabilities:
- Design, build, and maintain scalable data pipelines using Python, PySpark, and SQL.
- Develop and optimize ETL processes and data models for internal and client-facing products.
- Implement data quality checks and promote best practices.
Requirements:
- 2-4 years experience in Data Engineering with Python, PySpark, and SQL.
- Strong data modeling and query optimization skills.
- Experience with Databricks, dbt, and scalable infrastructure in a SaaS environment.
Benefits:
- Fully remote working environment across Europe.
- Competitive compensation and learning opportunities.
- Autonomy and ownership in a collaborative international team.
Partner Company
This company is a fast-growing global SaaS business operating in the healthcare technology sector. It offers a remote-first engineering environment with talented colleagues across multiple countries and cultures.