What if your next challenge meant leading the hybrid data platform of an internationally leading investment management firm, with a general presence and world-class teams?
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At Q-tech, were hiring a Lead Engineer & Data Platform to join a data infrastructure team that provides the secure, scalable and trustworthy foundation for storing, processing and distributing critical enterprise data, across cloud and on-premises environments.

This isnt just a technical role: its a leadership position with direct impact on architecture, engineering standards and the future of the platform.

Location: Madrid

Your day-to-day would include:
- Owning the end-to-end architecture and evolution of the enterprise data platform across hybrid environments.
- Setting the technical direction: roadmap, standards and reusable patterns for orchestration, scheduling and data processing.
- Leading architectural decisions, proofs of concept and adoption plans focused on scalability,



security and cost.
- Establishing reliability, observability and operational standards (monitoring, alerting, failure recovery, SLOs).
- Driving automation through infrastructure as code, CI/CD and automated testing.
- Staying hands-on: design and code reviews, mentoring, and championing a culture of engineering excellence.

What were looking for:
- 12+ years of experience in data/platform engineering, designing and operating enterprise-scale data platforms.
- Deep, hands-on Snowflake expertise (architecture, ingestion, transformation, workload management, cost, governance).
- Production experience with Apache Airflow and Apache Kafka / event-driven architectures.
- Proven ability to integrate batch and streaming pipelines (Snowflake, Airflow, Kafka).
- Advanced Python and SQL; Java experience for Kafka-based services/connectors is a plus.
- Terraform, Git, CI/CD; OpenShift or Kubernetes experience

📌 Lead Engineer Data Platform (Alcobendas)
🏢 MindMatch
📍 Alcobendas