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Data Engineer (f/m/div.)

Bosch Center for AI·Salary not specified

Primary stack

SQLETLDevOpsAI

Nice to have's

PythonDatabricksPower BITableau

Job description

About the Position

Data Engineer (f/m/div.)

  • Location: Aveiro, Portugal
  • Type: Full-time
  • Legal Entity: Home Comfort

About the Company

The Bosch Group, with over 400,000 employees in 60 countries, is dedicated to impacting people’s lives and working towards a more sustainable future. In Aveiro, Bosch operates one of its largest production sites for the Home Comfort division, alongside a Research and Development Center focused on innovative heating solutions. With over 1,400 employees, Bosch Aveiro brings together experts in mechanical engineering, connectivity, software solutions, industrialization, and quality.

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 us and feel the difference in mindsets, cultures, generations, identities, and perspectives. Bosch is an employer that values diversity and equal opportunities. We welcome applications from people with disabilities and 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.


Responsibilities

As a Data Engineer, you will:

  • Build 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.
  • Ensure 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.
  • Collaborate 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.

Requirements

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:
    • Strong proficiency in SQL; experience with Python is an advantage.
    • Solid understanding of data modeling, ETL/ELT processes, data warehouses, and lakehouses.
    • Proven knowledge of DevOps principles, including data testing, CI/CD, monitoring, KPI definition, and tracking.
    • Understanding of agile software development practices.
    • Knowledge of current developments in Generative AI and agentic AI, with an interest in applying them to real-world business challenges.
    • Ability to design technical concepts and communicate them clearly to both technical and non-technical audiences.
  • Working Style and Methods:
    • Analytical, structured, and solution-oriented.
    • Strong stakeholder and project management skills.
    • Collaborative and service-oriented mindset.
  • Personality:
    • Curious, adaptable, and eager to turn new technologies into practical solutions.
  • Languages: Excellent English communication skills.

We Offer

Work #LikeABosch includes:

⚖️ Flexible work conditions

🔀 Hybrid work system

🌐 Exchange with colleagues around the world

🧑‍⚕️ Health insurance and medical office on site (general surgeon, psychology, physiotherapy, general clinic)

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

📈 Opportunities for career progression and continuous professional development

💲 Access to great discounts in partnerships and Bosch products

🏋️ Sports and health related activities

💰 Flexible benefits platform

🅿️ Free parking lot

🍽️ Canteen


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

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Posted by

Mónica Lourenço


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