Lead Engineer & Data Platform

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?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.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 Kubernetesexperience 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.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.#DataEngineering #Snowflake #ApacheAirflow #ApacheKafka #DataPlatform #TechLeadership #TechJobs #Hiring #Qtech Barcelona #J-*****-Ljbffr

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. 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 Kubernetesexperience 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. 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. #DataEngineering #Snowflake #ApacheAirflow #ApacheKafka #DataPlatform #TechLeadership #TechJobs #Hiring #Qtech Barcelona #J-*****-Ljbffr

Madrid, España

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? 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.