Cloud Data Operations Lead (f/m/div.)

Company Description

The Bosch group has more than 400 000 employees around the world, present in 60 countries, and we are proud to impact people’s lives and to work towards a more sustainable future.

Since its inception, Robert Bosch, SA, based in Lisbon, has proudly served as the cornerstone of the Bosch Group's presence in Portugal. We excel in providing essential central services such as Accounting, Procurement, Communications, Legal and Marketing, firmly establishing our reputation as a leader in critical domains like Information Technology and Industrial Consultancy. Moreover, our strong dedication to our most invaluable asset, our people, lies at the very core of our mission.

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference in mindsets, cultures, generations, identities and perspectives. Everyone should bring their authenticity and work together respectfully. Bosch is an employer that values diversity and equal opportunities. We welcome applications from people with disabilities and we can provide reasonable accommodations during the recruitment process and in the performance of professional activity. By including everyone and ensuring equal opportunities we unleash our full potential.

Job Description

Are you ready to lead the operations of a cutting-edge analytics solution at a global scale?

We are looking for a Cloud Data Operations Lead to oversee and continuously improve a scalable data analytics solution designed for Bosch’s global production data. This platform powers critical insights across our worldwide manufacturing landscape.

In this key role, you will ensure the smooth operation of end-to-end data pipelines and AI applications, helping Bosch drive efficiency and innovation in smart manufacturing.

• Ensure the stability, scalability, and performance of the data analytics solution for production data.
• Monitor and maintain batch and streaming data pipelines in a cloud-based environment.
• Lead operational processes including incident handling, performance monitoring, and issue resolution.
• Collaborate closely with data engineering, data science, and IT teams to ensure high service quality.
• Promote and implement best practices for operational excellence, including thorough documentation and knowledge sharing.
• Mentor and support the operations team to foster technical growth and cross-team collaboration.

Qualifications

Education:

• Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related field.

Professional Experience:

• Proven experience in operating and maintaining large-scale data solutions in production environments.
• Previous experience in leading operations or support teams, ideally in a global or cross-functional context is a plus.
• Experience working in a manufacturing or industrial data environment is a plus.

Technical Skills:

• Solid understanding of common issues in cloud-based data pipelines and analytics solutions
• Working knowledge of Databricks and Lakehouse architecture in a cloud environment.
• Strong experience with SQL for data querying and analysis.
• Proficiency with Git for version control and team collaboration.
• Experience with command-line scripting (e.g., PowerShell).
• Familiarity with KubeCTL and Kubernetes-based systems.
• Experience with data pipeline orchestration tools (e.g., Airflow, Azure Data Factory).
• Understanding of monitoring and logging tools is a plus.

Soft Skills:

• Excellent problem-solving and critical thinking skills, with a proactive approach to incident management and root cause analysis.
• Strong communication and coordination abilities, capable of working effectively across cross-functional and international teams.
• High level of ownership, with a strong drive for operational excellence, efficiency, and continuous improvement.
• Ability to support and mentor peers, fostering collaboration and knowledge sharing within the team.

Languages:

• Fluent in English (written and spoken); additional languages are a plus.

Additional Information

Work #LikeABosch includes: 

⚖️ Flexible work conditions

🔀 Hybrid work system

🌐 Exchange with colleagues around the world

🧑‍⚕️ Health insurance and medical office on site (general clinic)

📚 Training opportunities (p.e., technical training, foreign languages training) & certifications

📈 Opportunities for career progression and continuous professional development

💲 Access to great discounts in partnerships and Bosch

🏋️ Sports and health related activities (gym)

🚉 Great access to public transports

🅿️ Free parking lot

🍽️ Canteen

Success stories don´t just happen. They are made...

Make it happen. We are looking forward to your application!