Data Engineer

Company Description 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. With over 300 specialized associates and around 15 nationalities, Bosch activities in Lisbon are focusing on sales, marketing, communication, training, nearshoring services and shared support for human resources services to Europe. The diversity, commitment and know-how of the team are the key success factors of this organization. Bosch Service Solutions develops and delivers Customer Experience, Mobility and Monitoring solutions for companies and their customers. Our teams find fast and efficient solutions for thousands of people on a daily basis – from claim management to life-saving emergency calls, among other services. Define the standards and become a pioneer together with around 9000 associates worldwide. Job Description As a Data Engineer, you will focus on connecting Corporate Research data sources to this platform, ensuring project data is properly ingested, structured, and accessible for analysis and model development. You will also develop extensions and tools that enhance data preparation and visualization workflows, and support project teams in integrating their use cases. Design, implement, integrate, and maintain ETL pipelines of different data types, helping onboard new customers by connecting their data sources to the platform. Implement Infrastructure as Code (IaC) solutions for provisioning and managing cloud (Azure) and on-premises resources using Terraform. Implement robust security measures to protect sensitive Data and ML models in both cloud and on-premises environments. Implement and/or integrate tools to deliver a state-of-the-art MLOps solution according to best practices. Develop and implement monitoring dashboards and alerts to proactively identify and resolve platform issues. Work closely with data scientists, software engineers, and infrastructure teams to deliver a high-quality solution. Communicate effectively with stakeholders at all levels, including technical and non-technical audiences. Stay up to date with the latest MLOps trends and technologies and share knowledge and expertise with colleagues working on other projects and domains. Participate in code reviews and contribute to the development of best practices. Qualifications MSc or Ph.D. in Computer Science, Data Science, Machine Learning or a related field. 1+ years of experience in MLOps, Data Engineering or similar roles, with a strong focus on AI/ML use-cases. Knowledge of either industrialization, laboratory environment, or ADAS domain is a major plus. Good scripting and automation skills with Python and Bash. Proficiency with Pandas, Pydantic, Pytest and NumPy is a plus. Capable of implementing, integrating, and maintaining Data and MLOps components. Architectural skills are a plus. Basic understanding of Cloud solutions and associated concepts. Experience with Azure is a plus. Basic understanding of DevOps principles and practices. Proficiency with GitOps, containerization and orchestration tools like Docker, Kubernetes, and Apache Airflow is a plus. Basic understanding of CI/CD pipelines and IaC tools. Proficiency with GitHub Actions and Terraform is a plus. Basic experience with monitoring and dashboarding. Proficiency with PowerBI, Grafana and Prometheus is a plus. Basic experience with on-premises infrastructure management, Linux servers, networking, and storage. Excellent problem-solving skills. Effective communication skills, team player, and capable of collaborating across functional areas. Proactive, customer and result-oriented personality. Fluent in Portuguese and English, written and spoken Additional Information What we offer you: Challenges in an international environment | career opportunities in one of the best companies in the world | flexible hours | medical services | discounts for employees | sports and health related activities | canteen | good access to public transports | space for creativity. Success stories don´t just happen. They are made... Make it happen We are looking forward to your application