Bosch Group: Data Engineer (f/m/div.) — Lisboa, Portugal

About Bosch Group

Bosch's India activities span mobility, industrial technology, consumer goods, and energy and building technology. Its employer description identifies engineering development, manufacturing and commercial operations within that range. The group operates through multiple Indian businesses, including activities in automotive systems, software and engineering, industrial technology and home appliances. This makes Bosch a collection of related technology businesses rather than a single product operation, with different entities serving different industrial and consumer applications.

The position and its setting

Bosch Group lists Data Engineer (f/m/div.) in Lisboa, Portugal, under reference REF299330G. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Employment type: Full-time
• Employer listing date: 23 October 2026
• Contract type: According to Arrangement
• Legal Entity: Home Comfort
• Brands: Bosch Group

Responsibilities and work described

• Your contribution to something big:
• As a Data Engineer, you will build scalable data solutions that digitalize procurement processes and enable AI-driven initiatives
• Work: in an international team, you will turn business needs into reliable, high-quality data products
• Building: and operate scalable data solutions: Develop, maintain and continuously improve automated ETL pipelines, data products and data models that support digital procurement and AI use cases
• Turn business needs into data solutions: Translate customer and stakeholder requirements into robust data transformations and models that enable reporting, analytics and informed decision-making
• Quality / delivery: data quality and reliability: Establish and continuously improve data integrity, security and quality by working closely with data producers and consumers
• Enable data-driven decisions: Support ad-hoc analyses and develop solutions that can be documented, scaled and reused across the organization
• Drive reliable data operations: Apply DevOps principles to ensure the stability, monitoring and continuous improvement of automated data pipelines, including data testing, CI/CD and KPI tracking
• Collaboration: internationally: Work closely with project management, customers, IT teams and other stakeholders, balancing business needs with technical and organizational frameworks
• Bring a service-oriented mindset: Act as a trusted partner for data consumers and stakeholders, focusing on practical solutions and measurable business value
• Explore the future of AI: Stay informed about the latest developments in Generative AI, including agentic AI, and identify opportunities to apply these technologies to real-world business challenges

Essential requirements and candidate background

• What distinguishes you:
• Education: Master's degree in Computer Science or a related field, or equivalent professional experience
• Experience
• 5+ years of professional experience in data engineering, data modeling, ETL processes and data warehouses/lakehouses
• Experience designing and operating automated data pipelines and scalable data solutions
• Practical experience working with data and analytics platforms such as Databricks, Power BI or Tableau
• Know-how:
• Proficiency: SQL; experience with Python is an advantage
• Understanding: data modeling, ETL/ELT processes, data warehouses and lakehouses
• Knowledge: DevOps principles, including data testing, CI/CD, monitoring, KPI definition and tracking
• Understanding: agile software development practices
• Knowledge: current developments in Generative AI and agentic AI, with an interest in applying them to real-world business challenges
• Design technical concepts and communicate them clearly to both technical and non-technical audiences
• Working Style and Methods:
• Analytical, structured and solution-oriented
• Stakeholder and project management skills
• Collaborative and service-oriented mindset
• Personality:
• Curious, adaptable and eager to turn new technologies into practical solutions
• Languages: English communication skills

Location, schedule and contract conditions

For this overseas or regional listing, confirm work authorisation and any location restrictions with the employer. The location does not establish visa sponsorship or permission to work remotely from India.

• 🔀 Hybrid work system
• 🧑⚕️ Health insurance and medical office on site (general surgeon, psychology, physiotherapy, general clinic)
• Work arrangement: Hybrid
• Advertised location: Lisboa, Portugal

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Data Engineer (f/m/div.) vacancy is not an offer for reference REF299330G; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Bosch Group

Applications follow the official employer page linked below.

Open the official Bosch Group posting below and match the title and reference REF299330G.

Compare your qualifications and experience with the essential conditions for the Lisboa, Portugal position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: Python

Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.

Relevant skills

• Python
• SQL
• CI/CD
• AI/ML
• AI
• project management
• procurement
• stakeholder management
• Power BI
• Tableau