Define and evolve the architecture, standards, and roadmap of our Google Cloud data platform, ensuring alignment with business goals and long-term scalability.
Design and deliver reliable, high-performance data pipelines and data products using modern cloud-native tools and engineering practices.
Establish data quality, governance, testing, monitoring, and operational excellence practices that enable trusted analytics and ML outcomes.
Mentor engineers across experience levels through coaching, code reviews, technical guidance, and knowledge sharing.
Lead the resolution of complex technical challenges, production incidents, and cross-functional initiatives while fostering collaboration and shared ownership.

Key requirements

Define and evolve the architecture, standards, and roadmap of our Google Cloud data platform, ensuring alignment with business goals and long-term scalability.
Design and deliver reliable, high-performance data pipelines and data products using modern cloud-native tools and engineering practices.
Establish data quality, governance, testing, monitoring, and operational excellence practices that enable trusted analytics and ML outcomes.
Mentor engineers across experience levels through coaching, code reviews, technical guidance, and knowledge sharing.
Lead the resolution of complex technical challenges, production incidents, and cross-functional initiatives while fostering collaboration and shared ownership.

Jobs at DISH

1 active role from this employer in the JobMatcher catalog.

All company jobs

Jobs at DISH

1 active role from this employer in the JobMatcher catalog.

All company jobs

About the role

Lead Data Engineer to shape the architecture and technical direction of our Google Cloud data platform while enabling engineers to deliver reliable, high-quality data products. In this hybrid Düsseldorf-based role, you will collaborate with the Head of Data Platform, product teams, data scientists, analysts, and engineers across DISH and METRO to establish the foundation for data-driven decision-making across the business. This role combines hands-on engineering, architectural leadership, mentoring, and continuous improvement.

Responsibilities

Ingredients for Success:

Define and evolve the architecture, standards, and roadmap of our Google Cloud data platform, ensuring alignment with business goals and long-term scalability.
Design and deliver reliable, high-performance data pipelines and data products using modern cloud-native tools and engineering practices.
Establish data quality, governance, testing, monitoring, and operational excellence practices that enable trusted analytics and ML outcomes.
Mentor engineers across experience levels through coaching, code reviews, technical guidance, and knowledge sharing.
Lead the resolution of complex technical challenges, production incidents, and cross-functional initiatives while fostering collaboration and shared ownership.
Drive the adoption of modern engineering practices, including AI-assisted development, with clear quality, security, and reliability guardrails.
Proven expertise in designing and operating scalable data platforms and distributed data systems in a cloud environment.
Deep knowledge of data a

About the role

Lead Data Engineer to shape the architecture and technical direction of our Google Cloud data platform while enabling engineers to deliver reliable, high-quality data products. In this hybrid Düsseldorf-based role, you will collaborate with the Head of Data Platform, product teams, data scientists, analysts, and engineers across DISH and METRO to establish the foundation for data-driven decision-making across the business. This role combines hands-on engineering, architectural leadership, mentoring, and continuous improvement.

Responsibilities

Ingredients for Success:

Define and evolve the architecture, standards, and roadmap of our Google Cloud data platform, ensuring alignment with business goals and long-term scalability.
Design and deliver reliable, high-performance data pipelines and data products using modern cloud-native tools and engineering practices.
Establish data quality, governance, testing, monitoring, and operational excellence practices that enable trusted analytics and ML outcomes.
Mentor engineers across experience levels through coaching, code reviews, technical guidance, and knowledge sharing.
Lead the resolution of complex technical challenges, production incidents, and cross-functional initiatives while fostering collaboration and shared ownership.
Drive the adoption of modern engineering practices, including AI-assisted development, with clear quality, security, and reliability guardrails.
Proven expertise in designing and operating scalable data platforms and distributed data systems in a cloud environment.
Deep knowledge of data a

Track similar jobs

Get email alerts when new roles like this are posted.

Based on: Lead Data Engineer