Lead Engineer & Data Platform - Q-tech
Summary
Lead Engineer for Q-tech's hybrid enterprise data platform at an international investment management firm in Madrid. The role owns end-to-end platform architecture and standards across cloud and on-prem, centered on Snowflake, Apache Airflow, and Kafka, while staying hands-on with design reviews, mentoring, and automation.
What if your next challenge meant leading the hybrid data platform of an internationally leading investment management firm, with a global presence and world-class teams?
Siga leyendo para comprender completamente lo que este trabajo requiere en cuanto a habilidades y experiencia. Si su perfil encaja, presente su candidatura.
At Q-tech, we're 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 isn't just a technical role: it's 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 we're 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 is a plus.
- Experience in regulated environments: security, data quality, access management and compliance.
- Proven technical leadership: team direction, mentoring and communication with technical and business stakeholders. xqbhyrx
- Fluent English, written and spoken.
If you're passionate about building robust data platforms, leading with strong technical judgment, and making an impact in a global financial environment, we'd love to talk to you.
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