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9 days ago
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Full time
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Related skills

etl sql python databricks dbt
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📋 Description

  • Design, build, maintain data pipelines with Python, PySpark, SQL
  • Develop ETL and transformation processes for internal reporting/products
  • Collaborate with Product, Design, Leadership, and Engineering teams
  • Build scalable data models with SQL and documentation
  • Implement data quality checks, monitoring, and validation
  • Optimize storage, performance, and cost; drive scalability

🎯 Requirements

  • 2–4 years of professional Data Engineering experience
  • Strong Python proficiency with dataframes, OOP, modularity
  • Practical PySpark and large-scale data processing
  • Strong SQL skills with data quality checks
  • Experience with data modeling and query optimization
  • Databricks and dbt are strong advantages

🎁 Benefits

  • Fully remote across Europe
  • Competitive compensation and benefits
  • Opportunity to work in healthcare-related tech
  • Learning and professional development opportunities
  • Autonomy and ownership within engineering
  • International, collaborative SaaS environment
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