Ingeniero de Datos – AI Solutions & Data Pipeline

About the role

Bosch Group is seeking a Data Engineer to develop AI solutions and support the company’s AI strategy in Ciudad Juárez. You will design, integrate, and maintain scalable data pipeline architectures that enable business insights and drive product innovation.

Key responsibilities

• Design, build and maintain efficient data pipelines and ETL processes using SQL and big‑data technologies.
• Develop and manage large, complex data sets aligned with functional and non‑functional requirements.
• Identify and implement process improvements, automation, and performance optimizations.
• Architect data structures for optimal extraction, transformation and loading from diverse sources.
• Collaborate with cross‑functional teams (Management, Product, Data, Design) to solve data‑related challenges.
• Ensure data security, privacy, and access controls in compliance with governance standards.
• Maintain Data Warehouse and Data Lake (including JuP1 Data Lake) and support data‑governance initiatives.
• Promote continuous improvement, adhere to EHS policies, and support Bosch Production System initiatives.

Required profile

• Degree in Computer Science, AI Engineering or a related field.
• Strong background in data engineering, AI/ML pipelines, and cloud environments.
• Experience with large‑scale data processing and analytics.
• Ability to work onsite in Ciudad Juárez and collaborate with multidisciplinary teams.

Required skills

• Programming: Python (essential), R, Java, C++.
• SQL and advanced big‑data technologies.
• Machine‑learning frameworks: TensorFlow, PyTorch, Scikit‑learn.
• Cloud platforms: AWS, Azure, GCP.
• Containerization and orchestration: Docker, Kubernetes.
• MLOps tools: CI/CD for models, MLflow, DVC.
• Specialised AI domains: NLP, Computer Vision (as applicable).
• Optimization algorithms, model quality testing, AI ethics and governance.