Blockchain intelligence and compliance solutions for financial institutions, governments & regulators
Staff Data Platform Engineer
Location
Poland
Posted
4 days ago
Salary
0
Seniority
Lead
Job Description
Staff Data Platform Engineer
Crystal Intelligence
• Design and evolve data pipeline architecture and storage systems, driving technical direction across the team; • Build and deliver high-quality data pipelines end-to-end, from initial design through production deployment; • Mentor engineers, raise the technical bar through code reviews, and unblock teammates on complex problems; • Own team outcomes — set expectations, ensure delivery quality, and take accountability for results.
Job Requirements
- 8+ years of hands-on software engineering experience, with significant depth in data pipelines, backend services, or data platform engineering;
- Deep experience designing and operating data lakes/warehouses/lakehouses at production scale;
- Experience in scaling data pipelines and good understanding of trade-offs (performance, resources)
- Expert Python skills: you write clean, performant, testable code and can establish standards for others;
- Experience across the modern data processing stack e.g., Kafka or Redpanda (real-time ingestion, delivery semantics), Flink or Spark (stream and batch processing, stateful operations), Airflow or Dagster (scheduling, backfills, dependency management);
- Expert-level SQL: complex joins, query planning and optimization, schema design across both OLTP and OLAP systems;
- Strong database architecture skills;
- Solid distributed systems experience;
- Comfortable leading technical discussions, building consensus on architectural decisions, and being the person the team turns to when things get hard;
- Team-oriented work and good communication skills are an asset;
- Proficiency in English.
Benefits
- AI tool of your choice: Cursor or Claude
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