🎯 What You’ll Actually DoDesign 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 HereYou: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 semanticsschema evolution & backfillsmutation and reprocessing costsStrong SQL and at least one programming language(Python, Java, Scala, etc.).You don’t just ship — you own what happens after.🔥 What Sets You ApartYou’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 NOTNot a dashboard-only BI role.Not a ticket-driven ETL executor.Not a pure infrastructure or DevOps position.🔧 How We WorkReliability > cleverness.Ownership > process.Impact > output.Direct > polite.One team, one system.🔥 What We OfferFully 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.