Position Summary: We are looking for a talented Staff Data Engineer to join our Data Engineering team, to participate in the development of data pipelines for blockchain data processing. This is a remote role, and we are flexible with considering applications from anywhere in Europe. More details: crystalblockchain.com Duties and responsibilities: 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. Required: 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. Would be a plus: Experience working with distributed Clickhouse cluster; Blockchain domain knowledge or an ability of mastering complex technical domains quickly; Track record of driving engineering standards and best practices across a team. No previous knowledge of Blockchain technology required. Tech stack: Languages & Frameworks: Python, FastAPI Databases: PostgreSQL, ClickHouse, Redis, Snowflake Infrastructure: Docker, Kubernetes, Terraform, AWS Data Processing: Kafka, Apache Iceberg, Spark Things we'll likely use in the future: Airflow / Dagster / Redpanda You’ll get: AI tool of your choice: Cursor or Claude Code.

Staff Data Platform Engineer

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