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:

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Design and evolve data pipeline architecture and storage systems, driving technical direction across the team;

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Build and deliver high-quality data pipelines end-to-end, from initial design through production deployment;

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Mentor engineers, raise the technical bar through code reviews, and unblock teammates on complex problems;

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Own team outcomes — set expectations, ensure delivery quality, and take accountability for results.

Required:

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8+ years of hands-on software engineering experience, with significant depth in data pipelines, backend services, or data platform engineering;

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Deep experience designing and operating data lakes/warehouses/lakehouses at production scale;

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Experience in scaling data pipelines and good understanding of trade-offs (performance, resources)

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Expert Python skills: you write clean, performant, testable code and can establish standards for others;

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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);

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Expert-level SQL: complex joins, query planning and optimization, schema design across both OLTP and OLAP systems;

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Strong database architecture skills;

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Solid distributed systems experience;

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Comfortable leading technical discussions, building consensus on architectural decisions, and being the person the team turns to when things get hard;

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Team-oriented work and good communication skills are an asset;

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Proficiency in English.

Would be a plus:

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Experience working with distributed Clickhouse cluster;

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Blockchain domain knowledge or an ability of mastering complex technical domains quickly;

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Track record of driving engineering standards and best practices across a team.

No previous knowledge of Blockchain technology required.

Tech stack:

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Languages & Frameworks: Python, FastAPI

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Databases: PostgreSQL, ClickHouse, Redis, Snowflake

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Infrastructure: Docker, Kubernetes, Terraform, AWS

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Data Processing: Kafka, Apache Iceberg, Spark

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Things we'll likely use in the future: Airflow / Dagster / Redpanda

You’ll get:

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AI tool of your choice: Cursor or Claude Code.