Senior Data Engineer

This is a fully remote position, open to applicants in Poland.

📋 Description

• Design, develop, and sustain contemporary data solutions utilizing Databricks.

• Collaborate with cross-functional teams to create and implement scalable data pipelines and workflows within Databricks.

• Construct ETL/ELT processes using Databricks, Python, and SQL for data ingestion, transformation, and preparation.

• Enhance data workflows for optimal performance, reliability, and cost-effectiveness in cloud environments.

• Create and manage data models, tables, and integrations on cloud platforms.

• Work alongside data analysts and scientists to provide clean and accessible data for analysis and reporting.

• Monitor data pipelines and resolve technical issues as they arise.

• Contribute to the development of internal documentation and best practices.

• Stay updated on new Databricks features and industry developments.

• Support enterprise AI, MLOps, and Generative AI projects.

⛳️ Requirements

• Over 4 years of practical experience in data engineering, data transformation, or analytics engineering.

• Strong expertise in Python and SQL.

• Hands-on experience in designing and managing data pipelines within the Databricks ecosystem.

• Familiarity with public cloud environments (Azure, AWS, or GCP), particularly regarding compute, storage, and data services.

• Advanced education in Computer Science, STEM fields, or equivalent practical technical experience.

• A strong emphasis on code quality, testing, and the creation of clean, maintainable software.

• Exceptional communication skills suited for effective remote-first collaboration.

• Knowledge of Scala is a plus.

• Ability to engage with clients in the US Eastern time zone.

🏝️ Benefits

• Open to B2B collaboration and permanent contract opportunities.

• In-depth exploration of modern Lakehouse architectures (Medallion model, Delta Lake, PySpark).

• Clear opportunities for skill enhancement in AI/ML engineering.

• Total location flexibility anywhere in Poland.

• Flexible working hours.

• Emphasis on work-life balance.

• Engage with complex data engineering challenges for enterprise clients.

• Continuous practical experience with new Databricks features, multi-cloud platforms (Azure, AWS, GCP), and automated CI/CD data workflows.

• Transparent B2B contract structure offering stability, competitive pay, and long-term project pipelines.