Senior Data Engineer

• Collaborate with cross-functional teams to design and build scalable data pipelines and workflows in Databricks
• Develop ETL/ELT processes using Databricks, Python, and SQL
• Ingest, transform, and prepare data
• Optimize data workflows for performance, reliability, and cost-efficiency in cloud environments
• Create and maintain data models, tables, and integrations on cloud platforms
• Partner with data analysts and scientists to deliver clean, accessible data for analytics and reporting
• Monitor pipelines and troubleshoot technical issues
• Contribute to internal documentation and best practices
• Track emerging Databricks features and industry trends to drive continuous improvement

• 4+ years of hands-on experience in data engineering, data transformation, or analytics engineering
• Strong proficiency in Python and SQL
• Practical experience designing and maintaining data pipelines within the Databricks ecosystem
• Working knowledge of public cloud environments such as Azure, AWS, or GCP, including compute, storage, and data services
• Higher education in Computer Science, STEM, or equivalent real-world technical experience
• Strong focus on code quality, testing, and writing clean, maintainable software
• Excellent communication skills for remote-first collaboration

• Open to B2B collaboration and permanent contract
• Flexible working hours
• Work-life balance
• Total location independence anywhere in Poland
• Competitive compensation
• Stability and long-term project pipelines
• Continuous hands-on experience with Databricks, multi-cloud platforms, and automated CI/CD data workflows
• Opportunities to upskill in AI/ML engineering
• Exposure to enterprise AI, MLOps, and Generative AI initiatives