About this role
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
We are looking for a Data Engineer to design, build, and maintain scalable cloud-based data pipelines that ensure high data availability, quality, and performance. You will work closely with cross-functional teams, including Data Governance and Analytics, contributing to robust data engineering standards and continuous process improvement.
Key Responsibilities
- Design, develop, optimize, and maintain scalable data pipelines in a cloud environment
- Perform peer code reviews and participate in data pipeline validation and verification activities
- Contribute to the continuous improvement of data engineering standards, processes, and best practices
- Support internal customers by ensuring data availability, data quality, and optimal pipeline and dashboard performance
- Develop and maintain data quality frameworks, concepts, and tooling
- Collaborate with the Data Governance team to support the rollout and adoption of data quality concepts and tools
Qualifications
Education
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, Data Science, Software Engineering, or a related field
Experience
- Proven experience working on data engineering projects in a professional environment
- Hands-on experience designing and maintaining data pipelines in the cloud
- Experience working with large datasets and distributed data processing
Technical Skills
- High proficiency in Python and SQL
- Strong hands-on experience with PySpark
- Experience with Azure Databricks is a strong plus
- Solid understanding of software development principles (e.g., SOLID, clean code, version control)
Soft Skills & Attributes
- Strong analytical and problem-solving skills
- Ability to work collaboratively in cross-functional teams
- Attention to detail, especially regarding data quality and reliability
- Proactive mindset with a focus on continuous improvement
Languages
- English: Fluent (spoken and written)
- Portuguese: Fluent (spoken and written)
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!
Other facts
About Bosch Group
The Bosch Group is a leading global supplier of technology and services. It employs roughly 417,900 associates worldwide (as of December 31, 2024). According to preliminary figures, the company generated sales of 90.5 billion euros in 2024. Its operations are divided into four business sectors: Mobility, Industrial Technology, Consumer Goods, and Energy and Building Technology. With its business activities, the company aims to use technology to help shape universal trends such as automation, electrification, digitalization, connectivity, and an orientation to sustainability. In this context, Bosch’s broad diversification across regions and industries strengthens its innovativeness and robustness. Bosch uses its proven expertise in sensor technology, software, and services to offer customers cross-domain solutions from a single source. It also applies its expertise in connectivity and artificial intelligence in order to develop and manufacture user-friendly, sustainable products. With technology that is “Invented for life,” Bosch wants to help improve quality of life and conserve natural resources. The Bosch Group comprises Robert Bosch GmbH and its roughly 470 subsidiary and regional companies in over 60 countries. Including sales and service partners, Bosch’s global manufacturing, engineering, and sales network covers nearly every country in the world. Bosch’s innovative strength is key to the company’s further development. At 136 locations across the globe, Bosch employs some 86,900 associates in research and development, of which nearly 48,000 are software engineers.
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Facebook: https://www.facebook.com/BoschGlobal
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Imprint: www.bosch.com/corporate-information
Privacy statement: https://www.bosch.com/data-protection-notice-bosch-linkedin/
What you'll do
- The Data Engineer will design, develop, optimize, and maintain scalable data pipelines in a cloud environment. They will also support internal customers by ensuring data availability, quality, and optimal performance of pipelines and dashboards.
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