AI-Driven Data Transformation Engineer

Schneider Electric; Hong Kong Island; On-site; HKD 400,000 - 700,000; Full time

Job summary

Schneider Electric in Hong Kong Island seeks a data-focused professional to drive digital transformation by building data solutions, automating processes, and delivering insights. You will enhance data accuracy and establish procedures for new data streams to boost business performance.

The ideal candidate combines business understanding, data engineering, analytics, automation, and AI, with 2–4 years of experience and strong SQL, Python, and Power BI skills.

Qualifications

• Bachelor's degree in Computer Science, IT, Engineering, Data Science, or related field.
• 2–4 years of experience in Data Engineering, Analytics, Digital Transformation or Systems Integration.
• Strong SQL and database knowledge.
• Knowledge with Python and APIs.
• Experience with Power BI or BI tools.
• Knowledge of cloud platforms (Azure, AWS, GCP).
• Strong problem-solving and communication skills; English is a must.

Responsibilities

• Design and support digital transformation initiatives in the area of responsibility.
• Build and maintain data pipelines and integrations.
• Connect data from ERP, CRM, eCommerce, APIs, and other systems.
• Develop datasets, dashboards, and KPIs using Power BI or reporting platforms.
• Improve data quality, governance, and accessibility.
• Identify automation opportunities and implement solutions.
• Support AI expansion initiatives.
• Collaborate with regional and global teams to localize data and digital strategy.

Skills

SQL

Python

APIs

Power BI

Communication

English

Education

Bachelor's degree

Tools

Azure

AWS

GCP

Job description

Schneider Electric in Hong Kong Island seeks a data-focused professional to drive digital transformation by building data solutions, automating processes, and delivering insights. You will enhance data accuracy and establish procedures for new data streams to boost business performance.

The ideal candidate combines business understanding, data engineering, analytics, automation, and AI, with 2–4 years of experience and strong SQL, Python, and Power BI skills.