Lead Engineer & Data Platform
Posted
Summary
Lead engineer for a hybrid (cloud + on-premises) enterprise data platform at an international investment management firm: owning architecture and standards, setting the technical roadmap, and staying hands-on with Airflow, Kafka, Snowflake, Python, SQL, Terraform and CI/CD in a regulated financial environment.
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?
La siguiente información tiene como objetivo proporcionar a los posibles candidatos una mejor comprensión de los requisitos para este puesto.
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 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.
#DataEngineering #Snowflake #ApacheAirflow #ApacheKafka #DataPlatform #TechLeadership #TechJobs #Hiring #Qtech
Barcelona
La siguiente información tiene como objetivo proporcionar a los posibles candidatos una mejor comprensión de los requisitos para este puesto.
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 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.
#DataEngineering #Snowflake #ApacheAirflow #ApacheKafka #DataPlatform #TechLeadership #TechJobs #Hiring #Qtech
Barcelona