Digital transformation & Data Engineer

Purpose

Ideal Candidate

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.

Rewards

• Our Total Rewards is our way of saying: We see you and we value you. It's more than just pay and benefits—it's a meaningful investment in you.
• It is designed to help you perform, grow, feel safe, and elevate your potential.
• The package helps you care for yourself and your family, plan your future, grow your skills and career, collaborate in an inclusive workplace, and contribute to your community.
• Country-specific programs and initiatives may be available.

About Schneider Electric