Join Agilent Technologies as an AI Data Engineer to lead data-driven innovation in Barcelona. Design and implement AI models and data pipelines that power cutting-edge scientific and analytical solutions.

As an AI Data Engineer at Agilent Technologies, you will play a key role in architecting and deploying data-driven solutions that support advanced analytics and machine learning models. You will work closely with cross-functional teams to design scalable data pipelines, optimize data storage, and implement AI systems that enhance laboratory instrumentation and scientific workflows. This role offers the opportunity to work on cutting-edge technologies in a collaborative and innovative environment.

Key Responsibilities:

• Design, build, and maintain robust data pipelines for processing large-scale scientific datasets
• Develop and deploy machine learning models and AI algorithms for predictive analytics and pattern recognition
• Collaborate with data scientists and software engineers to integrate AI solutions into production systems
• Optimize data storage and retrieval using modern databases and cloud platforms
• Perform data quality assurance and implement monitoring for data integrity
• Document architectures, workflows, and best practices for reproducibility

• Education: Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field
• Experience: 3+ years in data engineering or AI/ML engineering roles
• Technical Skills:
  • Proficiency in Python and SQL
  • Strong experience with big data tools (Spark, Hadoop, Kafka) and cloud platforms (AWS, GCP, Azure)
  • Hands-on with ML frameworks (TensorFlow, PyTorch, scikit-learn)
  • Knowledge of data warehousing (Snowflake, Redshift) and ETL processes
  • Familiarity with containerization (Docker, Kubernetes)
• Soft Skills: Excellent problem-solving, communication, and teamwork abilities
• Languages: Fluent English; Spanish or Catalan is a plus

• Competitive salary and performance bonuses
• Flexible working hours and remote work options
• Health and wellness programs including private medical insurance
• Continuous learning opportunities and access to training platforms
• Collaborative and inclusive international work environment