Senior Data Engineer | Databricks Optimization Specialist - Remote

Overview

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.

In Short

• Optimize Databricks workloads to improve efficiency and reduce costs.
• Analyze and fine-tune Spark queries for optimal performance.
• Provide best practices for Databricks resource allocation and cluster management.
• Troubleshoot and resolve performance bottlenecks.
• Implement cost-saving measures and automate workload management.
• Develop and document performance optimization strategies.
• Stay updated with the latest Databricks and Spark advancements.
• Support cloud infrastructure projects and advise on Databricks-Azure integrations.
• Assist in cloud infrastructure implementation for various use cases.

Requirements

• Degree in Computer Science, Data Engineering, or a related field.
• Proven experience as a Data Engineer, with a focus on Databricks optimization.
• Hands-on expertise in PySpark and Spark performance tuning.
• Experience in query performance tuning and workload optimization.
• Knowledge of cost-saving techniques within Databricks.
• Deep understanding of distributed computing and big data processing.
• Expertise in Databricks resource allocation and cluster management.
• Familiarity with Azure cloud services is a plus.
• Fluency in English (written and spoken) is required.

Benefits

• Work in a fast-paced, innovative environment.
• Opportunity to influence and optimize a critical data platform.
• Collaborate with a passionate team focused on data and technology.
• Enjoy a competitive salary and benefits package.
• Access continuous learning and professional growth opportunities.
• Flexible work conditions.
• Hybrid work system.
• Health insurance and medical office on site.
• Training opportunities and certifications.
• Great access to public transports.