Data Engineer (Databricks)

Experis is a global leader in recruitment of specialists and management staff in key IT areas. They offer competitive employment opportunities and interesting IT projects for both experienced experts and those starting their careers in IT.

• Proven experience as a Data Engineer working with large-scale data platforms
• Strong hands-on experience with Databricks and Apache Spark
• Advanced programming skills in Python and PySpark
• Experience designing and maintaining end-to-end data pipelines
• Good understanding of cloud environments and cloud-native data services
• Strong knowledge of data quality, data governance, and security best practices
• Ability to work independently and take ownership of complex data solutions
• Experience collaborating with architects and cross-functional teams
• Excellent communication skills in English

• Lead the design and implementation of scalable data processing solutions using Databricks
• Design, build, and optimize end-to-end data pipelines using Python, PySpark, and cloud-native tools
• Collaborate closely with Solution Architects to define, implement, and maintain data engineering best practices
• Ensure high standards of data quality, security, scalability, and performance in cloud environments
• Take ownership of existing data solutions, including optimization, refactoring, and continuous improvement
• Provide technical guidance and mentorship to other data engineers
• Contribute to the evolution of data architecture and engineering standards