Staff Data Platform Engineer

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

📋 Description

• Design and enhance the architecture of data pipelines and storage systems, guiding the technical direction of the team;

• Create and deliver comprehensive data pipelines from initial design to production deployment, ensuring high quality;

• Mentor fellow engineers, elevate technical standards through code reviews, and assist teammates in overcoming complex challenges;

• Take ownership of team outcomes — set clear expectations, guarantee delivery quality, and accept accountability for results.

⛳️ Requirements

• Over 8 years of practical software engineering experience, with substantial expertise in data pipelines, backend services, or data platform engineering;

• Extensive experience in designing and managing data lakes/warehouses/lakehouses at a production scale;

• Proven ability to scale data pipelines with a solid understanding of trade-offs (performance, resources);

• Proficient in Python: capable of writing clean, efficient, and testable code while establishing coding standards for others;

• Familiarity with the modern data processing stack, including Kafka or Redpanda (for real-time ingestion and delivery semantics), Flink or Spark (for stream and batch processing and stateful operations), and Airflow or Dagster (for scheduling, backfills, and dependency management);

• Advanced SQL skills: adept in complex joins, query planning and optimization, and schema design for both OLTP and OLAP systems;

• Strong skills in database architecture;

• Solid experience in distributed systems;

• Comfortable leading technical discussions, building consensus on architectural choices, and being the go-to person for challenging issues;

• Team-oriented with strong communication skills are advantageous;

• Proficiency in English.

🏝️ Benefits

• Choose an AI tool of your preference: Cursor or Claude