Databricks Engineer
In short
Data Engineer with Databricks expertise needed in Warsaw/Poznan/Wroclaw for hybrid work. Design/build data pipelines using Python & cloud tools. Requires 2.5 yrs Python, 1 yr data engineering, Databricks & cloud platform experience (AWS/Azure/GCP), SQL.
AI-written summary based on the listing content.
For our key Client in the IT industry, we are seeking a Data Engineer with proficiency in Databricks.
Role: Databricks Data Engineer Localization: Warsaw/Poznan or Wrocław- hybrid workYour Tasks:
Design, build, and enhance data pipelines with Python and cloud-native tools
- Design and implement data processing solutions using Databricks for large-scale and diverse datasets
- Ensure data consistency, security, and scalability within cloud-based environments
- Work closely with solution architects to define and uphold best practices in data engineering.
Requirements:
Strong experience in Python for automation and data transformation ( Minimum 2.5 years of commercial experience)
Strong experience in data engineering, with at least 1 year of hands-onDatabricks expertise
Experience working with at least one major cloud platform (AWS, Azure, or GCP)
Solid understanding of SQL with experience in query optimization and datamodeling
Strong communication skills and strong English language skills.
Nice to have:
Relevant certifications such as Databricks Certified Data Engineer Associate or cloud-based data certifications
Familiarity with DevOps methodologies, CI/CD pipelines, and Infrastructure as Code (Terraform, Bicep)
Experience with real-time data streaming technologies such as Kafka or Spark Streaming
Hands-on experience with PySpark for distributed data processing
| Published | 2026-08-27 |
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