Data Transformation & AI Engineer

Schneider Electric; Saudi Arabia; On-site; SAR 150,000 - 230,000; Full time

Job summary

Schneider Electric in Saudi Arabia seeks a data professional to drive digital transformation through building data solutions, automating processes and delivering insights. The role combines business understanding with data engineering, analytics, automation, and AI to enhance data accuracy and implement robust data streaming processes.

Responsibilities include designing data pipelines, integrating ERP/CRM/eCommerce systems, developing datasets and KPIs with Power BI, and improving data

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 similar 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 area of responsibilities.
• 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 teams to translate requirements into solutions and localize data strategy.

Skills

SQL

Python

APIs

Power BI

Data modeling

Communication skills

English proficiency

Education

Bachelor's degree in CS/IT/Engineering/Data Science

Tools

Azure

AWS

GCP

Job description

Schneider Electric in Saudi Arabia seeks a data professional to drive digital transformation through building data solutions, automating processes and delivering insights. The role combines business understanding with data engineering, analytics, automation, and AI to enhance data accuracy and implement robust data streaming processes.

Responsibilities include designing data pipelines, integrating ERP/CRM/eCommerce systems, developing datasets and KPIs with Power BI, and improving data