Staff Data Platform Engineer

Staff Data Engineer

Company: Crystal Intelligence
Location: Remote (Europe)
More Details: crystalblockchain.com

About Us

Crystal Intelligence is developing advanced data pipelines for blockchain data processing. We are looking for a talented Staff Data Engineer to join our team and drive technical direction in a remote, Europe-based role.

The Role

As a Staff Data Engineer, you will be instrumental in designing, building, and operating data pipelines and storage systems at production scale. You will mentor engineers, elevate technical standards through code reviews, and contribute to team outcomes by ensuring delivery quality and accountability. No prior knowledge of Blockchain technology is required, but an ability to master complex technical domains quickly is a plus.

Responsibilities

• Design and evolve data pipeline architecture and storage systems, driving technical direction.
• Build and deliver high-quality data pipelines end-to-end, from design to production deployment.
• Mentor engineers, raise the technical bar through code reviews, and unblock teammates.
• Own team outcomes, set expectations, ensure delivery quality, and take accountability for results.

Required Skills & Experience

• 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 with a good understanding of trade-offs (performance, resources).
• Expert Python skills: clean, performant, testable code, and ability to establish standards.
• Experience with modern data processing stacks (e.g., Kafka/Redpanda, Flink/Spark, Airflow/Dagster).
• Expert-level SQL: complex joins, query planning and optimization, schema design.
• Strong database architecture skills.
• Solid distributed systems experience.
• Comfortable leading technical discussions and building consensus on architectural decisions.
• Team-oriented with good communication skills.
• Proficiency in English.

Would be a Plus

• Experience working with a distributed ClickHouse cluster.
• Blockchain domain knowledge or ability to master complex technical domains quickly.
• Track record of driving engineering standards and best practices across a team.

Tech Stack

• Languages & Frameworks: Python, FastAPI
• Databases: PostgreSQL, ClickHouse, Redis, Snowflake
• Infrastructure: Docker, Kubernetes, Terraform, AWS
• Data Processing: Kafka, Apache Iceberg, Spark
• Future Technologies: Airflow / Dagster / Redpanda

What You'll Get

• AI tool of your choice: Cursor or Claude Code.