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Senior Data Engineer

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Description

Offer:

  • Private medical care
  • Co-financing for the sports card
  • Constant support of dedicated consultant
  • Employee referral program
  • Strong experience with Apache Spark, Python, and SQL
  • Hands-on experience with Azure Cloud, Azure Databricks, Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, and Azure Data Explorer
  • Proven experience in building and maintaining ETL/ELT processes
  • Practical experience with Databricks, Delta Live Tables (DLT), and Unity Catalog
  • Understanding of Lakehouse architecture, data governance, security, compliance, and operational excellence
  • Familiarity with CI/CD, Azure DevOps, infrastructure automation, monitoring, and logging
  • Strong analytical and problem-solving skills
  • Ability to work independently with a high level of ownership and accountability
  • Proactive approach to identifying risks, blockers, and improvement opportunities
  • Strong communication and stakeholder management skills across technical and business teams
  • Experience working in dynamic environments with frequently changing priorities and cross-functional teams
  • Ability to make pragmatic decisions and deliver results despite incomplete requirements
  • Adaptability, resilience, self-organization, and ability to independently drive initiatives and propose practical solutions
  • English proficiency at minimum B2+ level

Skills

What Senior Data Engineering jobs ask for — and how much of it you have →
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See also

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