Senior Data Engineer

🎯 What You’ll Actually Do

• Design and run high-throughput, production-grade data pipelines.
• Own data correctness, latency, and availability end to end.
• Make hard trade-offs: accuracy vs speed, cost vs freshness, rebuild vs patch.
• Design for change - schema evolution, reprocessing, and new consumers.
• Protect BI, Product, and Ops from breaking changes and silent data issues.
• Build monitoring, alerts, and data quality checks that catch problems early.
• Work side-by-side with Product, BI, and Engineering — no handoffs, shared ownership.
• Step into incidents, own RCA, and make sure the same class of failure never repeats.

This is a hands-on senior IC role with real accountability.

🧠 What You Bring (Non-Negotiable)

• 5+ years in data or backend engineering on real production systems.
• Strong experience with analytical databases
  (ClickHouse, Snowflake, BigQuery, or similar).
• Experience with event-driven or streaming systems
  (Kafka, CDC, pub/sub).
• Solid understanding of:
  • at-least-once vs exactly-once semantics
  • schema evolution & backfills
  • mutation and reprocessing costs
• Strong SQL and at least one programming language
  (Python, Java, Scala, etc.).

• You don’t just ship - you own what happens after.

   

🔧 How We Work

• Reliability > cleverness.
• Ownership > process.
• Impact > output.
• Direct > polite.

• One team, one system.

   

🔥 What We Offer

• Fully remote (Europe).
• Unlimited vacation + paid sick leave.
• Quarterly performance bonuses.
• Medical insurance for you and your partner.
• Learning budget (courses, conferences, certifications).
• High trust, high autonomy.

• No bureaucracy. Real data problems.

   

👉 Apply if you treat data like production software - and feel uncomfortable when numbers can’t be trusted.