• Design, develop, and maintain reusable data objects, datasets, and data services to support business applications and analytics use cases.
• Build and optimize data pipelines to ingest, transform, and deliver data from multiple sources in a scalable and reliable manner.
• Develop and maintain report queries to support dashboards, operational reporting, and ad-hoc analysis.
• Implement data transformations (cleansing, normalization, aggregation) to ensure data quality, consistency, and usability for downstream applications.

• Develop and maintain automated workflows using Python to support data processing, application events, and business processes.
• Identify opportunities to reduce manual effort through automation and reusable components.
• Monitor and troubleshoot workflows and pipelines to ensure performance, reliability, and data integrity.

• Provide mid–senior level technical support for application functionality and data-related issues.
• Partner with product/process owners, business analysts, business process analysts, other digital teams and end users to gather requirements and translate them into technical solutions.
• Support testing, deployment, and release activities, ensuring solutions meet functional and non-functional requirements.

• Create and maintain clear technical documentation for data objects, pipelines, queries, and workflows.
• Apply best practices for version control, security, performance tuning, and maintainability.
• Contribute to continuous improvement initiatives, coding standards, and architectural guidelines.

• 3–5 years of professional experience as a Systems Developer, Application Engineer, Data Engineer or similar role.
• Proven experience developing data pipelines, reusable data assets, and report queries in a production environment.
• Hands-on experience developing and supporting business applications that rely on structured and semi-structured data.

• Strong proficiency in Python scripting, data transformation and integration tools
• Strong proficiency in SQL and hands-on experience with relational databases and cloud data platforms.
• Familiarity with workflow automation tools for orchestrating and optimizing business processes.
• Working knowledge of version control systems (e.g. Git) and CI/CD concepts to support collaborative development and deployment.
• Familiar with cybersecurity concepts and practices
• Experience in Oracle SQL scripting is an advantage
• Familiarity with .NET programming is an advantage

• Strong ability to analyze data issues, identify root causes, and implement sustainable solutions.
• Experience translating functional requirements into scalable technical designs.

• Ability to communicate complex technical concepts to both technical and non-technical stakeholders.
• Strong collaboration skills and experience working in cross-functional, agile, or hybrid teams.

Looking to make an IMPACT with your career?

When you are thinking about joining a new team, culture matters. At Schneider Electric, our values and behaviors are the foundation for creating a great culture to support business success. We believe that our IMPACT values – Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork – starts with us.

IMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play. It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world.

We are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization. We celebrate IMPACT Makers and believe everyone has the potential to be one.

Become an IMPACT Maker with Schneider Electric – apply today!

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150 000+ employees in 100+ countries