O SEU PRÓXIMO CAPÍTULO
Senior Data Engineer
Sobre a vaga
• Design, develop, and maintain modern data solutions using Databricks
• 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 to ingest, transform, and prepare data
• Optimize data workflows for performance, reliability, and cost-efficiency within 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
• Stay current with emerging Databricks features and industry trends
• Support enterprise AI, MLOps, and Generative AI initiatives
• 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 (Azure, AWS, or GCP), specifically 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 tailored for effective remote-first collaboration
• Familiarity with Scala is a nice-to-have
• Ability to work with customers in the US Eastern time zone
• Open to B2B collaboration and permanent contract
• Deep-dive into modern Lakehouse architectures (Medallion model, Delta Lake, PySpark)
• Clear path to upskill in AI/ML engineering
• Total location independence anywhere in Poland
• Flexible working hours
• Work-life balance
• Work on complex data engineering challenges for enterprise clients
• Continuous hands-on experience with emerging Databricks features, multi-cloud platforms (Azure, AWS, GCP), and automated CI/CD data workflows
• Transparent B2B contract structure with stability, competitive compensation, and long-term project pipelines