Remote Senior Data Engineer (Databricks / AWS)

Description:

• Design, build, and optimize a next-generation Lakehouse data platform.
• Transform complex, legacy datasets into structured, high-quality data products for analytics and operational workflows.

Requirements:

• 5+ years of experience in data engineering, focusing on cloud and distributed processing.
• Strong experience with Databricks, PySpark, Delta Lake, CDC, and schema evolution.
• Expert SQL optimization and Python skills; hands-on experience with Airflow or similar.
• Familiarity with AWS components and CI/CD for data workflows.
• Knowledge of streaming technologies (Kafka/Kinesis) and governance tools (Unity Catalog).
• Proactive problem-solver, able to work independently in a fast-paced environment.
• Collaborative and pragmatic, skilled at directing AI agents for code generation.

Benefits:

• Flexible hybrid working model with remote office options.
• Free parking spaces available.
• Fun office space with a game zone and relaxation area.
• Additional private health insurance, including dental care.
• Company-sponsored training budget for personal development.
• Employee referral program with bonuses.
• Extra 5 holidays after the 1st and 5th year.
• Social events to celebrate successes.
• Family insurance options available.
• 100% sponsored sports cards.