Job 139850

Honeywell

Not specified
Architecting, building, and optimizing large-scale data systems
Ai-ready data layer
Scalable, governed, performant data platforms
Honeywell is seeking a Sr Advanced Data Engineer to design, build, and optimize large-scale data systems for its Aerospace sector, focusing on AI-ready data platforms. The ideal candidate should have extensive experience in data engineering, particularly in enterprise-scale data platforms, while ensuring data quality and governance

Job Summary

  • The Sr Advanced Data Engineer is responsible for architecting, building, and optimizing large-scale data systems that power Honeywell Aerospace’s enterprise data strategy and AI-ready data layer.
  • This role plays a critical part in ensuring that the organization’s data platforms are scalable, governed, performant, and aligned to AI and advanced analytics use cases.
  • The Sr Advanced Data Engineer partners closely with AI/ML teams, data scientists, platform teams, and business stakeholders to ensure that data is available, trusted, and production-ready to support analytics, advanced analytics, and AI initiatives in a timely manner.

Matching Summary

Match Score: 85

Honeywell is seeking a Sr Advanced Data Engineer to design, build, and optimize large-scale data systems for its Aerospace sector, focusing on AI-ready data platforms. The ideal candidate should have extensive experience in data engineering, particularly in enterprise-scale data platforms, while ensuring data quality and governance.

Skills & Requirements

Must-have

  • architecting, building, and optimizing large-scale data systems
  • AI-ready data layer
  • scalable, governed, performant data platforms
  • end-to-end, scalable enterprise data architectures
  • complex ETL / ELT pipelines
  • real-time and near-real-time data pipelines
  • enterprise data quality standards
  • data governance, lineage, and observability
  • Python and SQL expert proficiency
  • Snowflake and Databricks deep experience
  • AWS, Azure, and/or GCP hands-on experience

Nice-to-have

  • technical leadership and guidance
  • translate business and AI requirements
  • familiarity with Vector Databases
  • CI/CD pipelines for data engineering

Key Requirements

  • 8–12 years of experience in data engineering
  • Proven experience designing and operating enterprise-scale data platforms
  • Strong hands-on experience building AI-ready, governed, and automated data layers
  • Experience working in large, global, and regulated enterprise environments
  • Bachelor’s or Master’s degree in Engineering, Computer Science, Information Technology, Data Engineering, or a related field

Work Rights

Not specified

Tailored Resume

Cover Letter