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Data Engineering & DevOps Principal

Morgan McKinley Hong Kong
Full time Permanent On-site Competitive

About the job

Core Responsibilities
  • Pipeline & DataOps: Build and optimize scalable ETL/ELT pipelines and automated CI/CD workflows for data assets, AI integrations, and ERP system updates.
  • Platform Administration: Oversee the data platform, driving cost efficiency, system reliability, and secure-by-design data governance practices.
  • Collaboration & Support: Partner with data scientists, vendors, and business units to deliver data solutions; provide BAU support and track platform KPIs.
  • Innovation: Utilize generative AI tools to accelerate development cycles and share DataOps best practices with the broader team.
Requirements
  • Education: Degree in Computer Science, IT, Data Science, or related field.
  • Experience: 10+ years in Data Engineering, DataOps and DevOps (Preferrable in Microsoft Data Stack)
  • Technical Skills: * Strong expertise in cloud data platforms (ideally Spark/Databricks ecosystems) and unified data governance frameworks.
    • Proficient in Python, SQL, Shell Scripting, Infrastructure-as-Code, and Git/DevOps automation.
    • Experience with containerization (Kubernetes/Helm) and AI productivity tools (e.g., Copilot) is a plus.
  • Soft Skills: Strong ownership, proactive problem-solving, and excellent communication skills for diverse stakeholder groups.