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 Data Engineer IC role with real accountability.

What “Senior” Means Here

• Think in systems, not tools.
• Reason about failure modes, not happy paths.
• Can explain why a solution works — and when it breaks.
• Take responsibility for outcomes, not just implementation.
• Stay effective with incomplete, evolving requirements.

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.

What Sets You Apart

• You’ve seen data systems fail in production — and fixed them.
• You think about cost when making architectural decisions.
• You understand data contracts and change management.
• You can translate technical choices into business impact.
• You’re comfortable saying: “I don’t know — here’s how I’ll figure it out.”

This Role Is NOT

• Not a dashboard-only BI role.
• Not a ticket-driven ETL executor.
• Not a pure infrastructure or DevOps position.

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.

Key skills/competency

• Data Pipeline Design
• Analytical Databases
• Streaming Systems (Kafka, CDC)
• Data Quality & Monitoring
• Schema Evolution
• SQL Proficiency
• Python / Java / Scala
• System Architecture
• Incident Management
• Cost Optimization