Senior Data Engineer

AI overview

Design and implement high-throughput data pipelines while ensuring data correctness, latency, and availability with shared ownership across teams.

🎯 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 “Senior” Means Here

You:

  • 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.

Perks & Benefits Extracted with AI

  • Health Insurance: Medical insurance for you and your partner.
  • Learning Budget: Learning budget (courses, conferences, certifications).
  • Paid Time Off: Unlimited vacation + paid sick leave.
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