Sr Data Engineer
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- Senior, international engineering team working in English
- Embedded directly in the client's tech organization, with real say in architecture
- Agile environment with a strong culture of ownership and continuous improvement ⚙️ The role A hands-on senior seat on a platform where scale is the daily challenge. You'll work across the full data lifecycle (capture, ingestion, processing, enrichment, storage and distribution), building distributed systems that are scalable, resilient and highly available. You'll write clean, tested code, optimize performance, own monitoring and reliability, and document and influence architectural decisions. 🛠️ Stack Python / Scala
· Spark
· Kafka
· Kinesis
· Airflow
· Hive
· EMR
· AWS
· Docker
· SQL & NoSQL 🎯 What we're looking for
- 5+ years of experience with Python or Scala (you don't need both)
- Proven track record building data pipelines and distributed systems in production
- Experience with high-volume, highly available systems (streaming and/or batch)
- Strong SQL, with both relational and non-relational databases
- Solid cloud experience, ideally AWS
- An engineering mindset: architecture, testing, performance, observability
- Fluent English Nice to have: Kubernetes, Terraform, Databricks or Flink; experience in travel, e-commerce, fintech or other high-traffic platforms. 💡 Why join Billions of events a day, a modern stack, senior colleagues, high ownership from day one, up to €75K base. 📍 Madrid
· Hybrid (3 days onsite)
· Full-time This is a chance to own a critical piece of one of the largest data platforms in travel.
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