Data Engineer (f/m/div.)

Bosch Global Software (BGSW)•Lisboa, , Portugal•Hybrid
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About the Role

Your contribution to something big:As a Data Engineer, you will build scalable data solutions that digitalize procurement processes and enable AI-driven initiatives. Working in an international team, you will turn business needs into reliable, high-quality data products.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.What distinguishes you: Education: Master's degree in Computer Science or a related field, or equivalent professional experience.Experience5+ 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.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 (p.e., 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 Success stories don´t just happen. They are made...Make it happen! We are looking forward to your application!