Senior Data Engineer

We are looking for a Data Architect to design, build, and manage our company's data infrastructure. You will lead projects that ensure data is well-organized, secure, and flows efficiently to support business decisions. Key Responsibilities Lead Data Projects: Manage projects focused on data governance, data sharing, and improving how data moves through the company. Design Data Systems: Build and improve the company's data infrastructure and frameworks, setting standards for the team to follow.

Morgan McKinley - Hong Kong - Full time

Salary: medical, AL

We are looking for a Data Architect to design, build, and manage our company's data infrastructure. You will lead projects that ensure data is well-organized, secure, and flows efficiently to support business decisions.



Key Responsibilities

  • Lead Data Projects: Manage projects focused on data governance, data sharing, and improving how data moves through the company.

  • Design Data Systems: Build and improve the company's data infrastructure and frameworks, setting standards for the team to follow.

  • Collaborate with Teams: Work with business users to understand their needs and improve data tools and reports. Coordinate with internal teams, vendors, and regional stakeholders.

  • Ensure Data Quality & Compliance: Conduct quality checks and manage data flows to ensure they are efficient and meet company and regulatory standards.

  • Manage Project Lifecycle: Plan projects, manage resources, track progress, and support testing (SIT/UAT) and documentation.

  • Problem Solving: Identify and resolve project issues, escalating them when necessary.

  • Travel: Occasionally travel as needed.



Must-Have Qualifications:

  • Bachelor's degree in Computer Science, IT, Statistics, or a related field.

  • At least 5 years of experience in data engineering, including 2 years as a Data Architect.

  • Strong skills in Cloud Data Platforms (e.g., Databricks, Microsoft Fabric).

  • Strong skills in Database Management (e.g., MS SQL, Oracle).

  • Proficiency in SQL and Python (minimum 5+ years with each).

  • Experience with data warehousing, governance, and security.

  • Ability to align technical data plans with long-term business goals.

  • Excellent communication skills in English and Chinese.

Preferred Qualifications:

  • Experience in the manufacturing industry.

  • Knowledge of big data, streaming data, machine learning, or AI projects.

  • Experience with hybrid data systems (mixing cloud and on-premise data sources).

  • Understanding of process engineering concepts.



Personal Qualities

  • A self-motivated and independent worker who can also collaborate effectively in a team.

  • Strong analytical and problem-solving skills.

  • Able to work well under pressure.

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