Data Engineer – Cloud Data Platform (f/m/div.) at Bosch Group

Aveiro, , Portugal -

Full Time

Start Date

Immediate

Expiry Date

21 May, 26

Salary

0.0

Posted On

20 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Spark, SQL, Databricks, Synapse, Azure Data Factory, Azure Purview, Data Modeling, ETL/ELT Processes, Data Architecture, DevOps, Agile Development, Analytical Skills, Problem-Solving Skills

Industry

Software Development

Description

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. Bosch Service Solutions in Lisbon develops and offers Customer Experience, Mobility, and Monitoring solutions for its clients, and plays a prominent role in providing Engineering and Software Development services in the technology market. Every day, our teams find fast, efficient, and innovative solutions for thousands of people. 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 Your contribution to something big: Architect and Innovate Data Pipelines: Design, build, and maintain high-performance, scalable, and resilient data pipelines on our cloud-based Data Platform; Master Data Modeling: Develop and refine stable data models, ensuring data integrity, accessibility, and optimal structures for complex analytics, reporting, and AI-driven use cases; Cross-Functional Collaboration: Collaborate closely with cross-functional teams, acting as a trusted technical expert guiding other departments to integrate their data and use cases on the data platform; Best Practices: Share best practices and set high standards to enable our partners to maximize their data's potential. Qualifications What distinguishes you: Education: Degree in Computer Science, Business Informatics, Software Engineering, or a comparable field providing a strong theoretical and practical base. Experience: Hands-on experience in data engineering, within cloud-based data platforms or analytics environments. Know-how: Experience with the following tools and technologies: Python, Spark, SQL, Databricks, Synapse, Azure Data Factory, Azure Purview; Understanding of data modeling, ETL/ELT processes, and data architecture; Familiarity with DevOps principles in agile development environments; Strong analytical and problem-solving skills Languages: Fluent English (spoken and written). Working Style and Methods: Structured, solution-oriented, and comfortable working in a dynamic, agile environment. Personality: Collaborative, proactive, and enthusiastic about learning new technologies and sharing knowledge within an international team. Additional Information Work #LikeABosch means: ⚖️ Flexible work conditions 🔀 Hybrid work system 🌐 Exchange with colleagues around the world 🧑‍⚕️ Health insurance and medical office on site 📚 Training opportunities 📈 Opportunities for career progression and continuous professional development 💲 Access to great discounts in partnerships and Bosch products 🏋️ Sports and health related activities 🚉 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! Legal Entity: Bosch Service Solutions S.A.

Responsibilities

The role involves designing, building, and maintaining high-performance, scalable, and resilient data pipelines on a cloud-based Data Platform. Responsibilities also include developing stable data models and collaborating cross-functionally to guide integration of data and use cases onto the platform.