Senior Data Infra Engineer (Rust) - Real-Time Pipelines

Block Tech

Amsterdam

Hybrid

EUR 120,000 - 180,000

Full time

2 days ago
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Benefits offered by this job

Pension plan
Company laptop
Home internet reimbursement
Annual learning budget
AI-powered tooling environment
Gym reimbursement

Job summary

BlockTech is seeking a Senior Software Engineer, Data Infrastructure, to join its Foundation team in Amsterdam. You will own the pipelines, stores, and data flows used by researchers, traders, and risk teams, setting technical standards and guiding the stack.

You’ll work primarily in Rust and SQL, coordinating across Kafka, PostgreSQL, ClickHouse, and Iceberg, while ensuring low latency and high reliability for real-time data processing.

Qualifications

  • 3+ years as a software engineer with data infrastructure focus.
  • Proficiency in Rust, or strong C/C++ with Rust as primary.
  • Hands-on with streaming/storage tech and self-hosted setups.

Responsibilities

  • Own the data ingestion pipelines and storage used by teams.
  • Set technical standards and guide other engineers on the data stack.
  • Enable other teams by simplifying integration and building shared libraries.
  • Architect streaming layer for Kafka/NATS and maintain throughput guarantees.
  • Develop real-time aggregation and long-term storage across PostgreSQL, ClickHouse, Iceberg.
  • Ensure reliability, capacity planning, schema evolution, and observability.

Skills

Software engineering
Rust proficiency
Distributed systems
End-to-end ownership
English communication

Tools

Kafka
Redpanda
NATS
PostgreSQL
ClickHouse
Iceberg

Job description

BlockTech is seeking a Senior Software Engineer, Data Infrastructure, to join its Foundation team in Amsterdam. You will own the pipelines, stores, and data flows used by researchers, traders, and risk teams, setting technical standards and guiding the stack.

You’ll work primarily in Rust and SQL, coordinating across Kafka, PostgreSQL, ClickHouse, and Iceberg, while ensuring low latency and high reliability for real-time data processing.

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