Digital transformation & Data Engineer

Schneider Electric - UAE; Medina; On-site; SAR 120,000 - 180,000; Full time

Job summary

Schneider Electric in Medina (Saudi Arabia) is seeking a data engineer to drive digital transformation by building data solutions and automating processes.

You will design pipelines, connect ERP/CRM/eCommerce data, develop dashboards, and improve data quality while collaborating with regional and global teams to localize the strategy.

Qualifications

• Bachelor’s degree in CS/IT/Engineering/Data Science or related field.
• 2–4 years in Data Engineering, Analytics, or Systems Integration.
• Strong SQL and database knowledge; proficient in Python and APIs.
• Experience with Power BI or similar BI tools; cloud familiarity (Azure/AWS/GCP).

Responsibilities

• Design and support digital transformation initiatives in assigned area.
• 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.
• Improve data quality, governance, and accessibility.
• Identify automation opportunities and implement solutions.
• Collaborate with regional and global teams to localize strategy.

Skills

Business understanding

Data engineering

Analytics

Automation

AI

Education

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

Tools

Power BI

Python

SQL

APIs

Azure

AWS

GCP

Job description

Drive digital transformation by building data solutions automating processes and delivering insights beside leading the data digital tools She He will be responsible for enhancing the existed data accuracy and build the right procedures for the new data streaming in the way that improve business performance Ideal Candidate Someone who can combine Business Understanding Data Engineering Analytics Automation AI

Key Responsibilities

• Design and support digital transformation Initiative in her his 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 through the existed reporting platforms Improve data quality governance and accessibility Identify automation opportunities and implement solutions Support AI expansion initiatives Collaborate with the different teams to translate requirements into solutions Collaborate with Regional and Global teams to reflect and localize the data and digital transformation strategy

Requirements

• 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 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