Ingeniero de Datos

About the role

Bosch is seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines that support business intelligence and AI initiatives. You will work closely with cross‑functional teams to ensure data quality, security, and accessibility across the organization.

Key responsibilities

• Design, integrate, and maintain efficient data pipeline architecture.
• Develop and manage large, complex data sets aligned with business requirements.
• Architect and review ETL processes using SQL and big‑data technologies.
• Build analytics tools that deliver actionable insights on operational performance.
• Collaborate with Management, Product, Data, and Design teams to solve data‑related challenges.
• Ensure data security, privacy, and compliance with governance standards.
• Develop digital solutions with data science and AI to support product innovation.
• Maintain Data Warehouse and Data Lake structures, including JuP1 Data Lake.

Required profile

• Degree in Computer Science, AI Engineering, or a related field.
• Experience with cloud platforms (AWS, Azure, GCP) and container orchestration (Docker, Kubernetes).
• Familiarity with MLOps practices, CI/CD for models, and model versioning tools.
• Relevant certifications (e.g., AWS Certified Machine Learning, Google Professional ML Engineer) are a plus.

Required skills

• Python (essential), R, Java, C++
• TensorFlow, PyTorch, Scikit‑learn
• AWS, Azure, GCP
• Docker, Kubernetes
• CI/CD pipelines for ML, MLflow, DVC
• NLP, Computer Vision, optimization algorithms
• Model quality control and testing
• AI ethics and governance knowledge

What we offer

• Opportunity to work on cutting‑edge AI and data projects within a global technology leader.
• Collaborative environment that promotes continuous improvement and innovation.