Senior Data Engineer - Databricks

📋 Description

• Develop and maintain data pipelines
• Integrate data from various sources (APIs, relational databases, files, etc.)
• Collaborate with business and analytics teams to understand data requirements
• Ensure quality, reliability, security and governance of the ingested data
• Follow modern DataOps practices such as Code Versioning, Data Tests and CI/CD
• Document processes and best practices in data engineering

🎯 Requirements

• Proven experience in building and managing large-scale data pipelines in Databricks (PySpark, Delta
• Strong programming skills in Python and SQL for data processing and transformation
• Deep understanding of ETL/ELT frameworks, data warehousing, and distributed data processing
• Hands-on experience with modern DataOps practices: version control (Git), CI/CD pipelines
• Familiarity with cloud platforms (AWS, Azure, or GCP) and related data services
• Strong problem-solving skills with the ability to troubleshoot performance, scalability, and

🎁 Benefits

• Health and dental insurance
• Meal and food allowance
• Childcare assistance
• Extended paternity leave
• Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass
• Profit Sharing and Results Participation (PLR)