Digital transformation & Data Engineer
Schneider Electric1 month ago
Saudi Arabia (city not specified)Mid Level
Responsibilities
- Design and support digital transformation initiatives.
- 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 existing reporting platforms.
- Improve data quality, governance, and accessibility.
- Identify automation opportunities and implement solutions.
- Support AI expansion initiatives.
- Collaborate with regional, global, and cross-functional teams to translate requirements into data and digital solutions.
Requirements
- Bachelor's degree in Computer Science, IT, Engineering, Data Science, or a related field.
- 2–4 years of experience in data engineering, analytics, digital transformation, or systems integration.
- Strong SQL and database knowledge.
- Knowledge of Python and APIs.
- Experience with Power BI or similar business intelligence tools.
- Knowledge of Azure, AWS, or GCP cloud platforms.
- Strong problem-solving and communication skills.
- English proficiency is required.
Benefits
- Total Rewards package with benefits and programs supporting employees and families, future planning, professional growth, inclusion, and community contribution.
- Country-specific programs and initiatives may be available.
- Inclusive workplace with equal employment and advancement opportunities.
Tech Stack
Categories
Data Engineering
About Schneider Electric
Schneider Electric builds electrical distribution equipment, industrial automation systems, and energy-management software and services for buildings, data centers, factories, and utilities. Founded in 1836 and headquartered in Rueil-Malmaison, France, it is a public company listed on Euronext Paris. The company sells globally through direct and partner channels in 100+ countries, with offerings such as switchgear, circuit protection, building management, microgrids, and the EcoStruxure software suite.