Digital transformation & Data Engineer
Summary
A data engineer at Schneider Electric who drives digital transformation by building and maintaining data pipelines across ERP, CRM, eCommerce and APIs, creating Power BI dashboards and KPIs, improving data quality and governance, and implementing automation and AI initiatives. Core stack: SQL, Python, Power BI, and cloud platforms (Azure/AWS/GCP).
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