Staff Data Platform Engineer

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.

Originally posted on Himalayas