The
Digital Design Engineer develops and sustains practical digital solutions that improve manufacturing productivity, decision-making, process reliability, and user experience. The role converts business needs into secure, maintainable applications, automations, databases, analytics, and AI-enabled solutions, while coordinating with production, engineering, quality, IT, and other stakeholders from concept through deployment and support.
Key Outcomes - Digital solutions are delivered safely, on time, and against clearly defined business requirements.
- Manual and repetitive work is reduced through fit-for-purpose automation and standardized workflows.
- Manufacturing data is reliable, accessible, traceable, and converted into actionable dashboards and insights.
- Applications and automations are documented, tested, adopted by users, and supported through a sustainable lifecycle.
- IT/OT cybersecurity, access control, data protection, and site governance requirements are embedded in every solution.
What will you do? - Business analysis and solution design
- Engage stakeholders to understand operational pain points, map current processes, and define functional and non-functional requirements.
- Assess solution options and recommend an appropriate approach using web applications, low-code platforms, RPA, BI, databases, analytics, or AI.
- Prepare solution concepts, process flows, user stories, acceptance criteria, effort estimates, risks, and implementation plans.
- Ensure proposed solutions are scalable, maintainable, user-friendly, and aligned with site architecture and governance.
- Application and database development
- Design, develop, test, deploy, and maintain web-based applications using .NET/C#, PHP, HTML, CSS, JavaScript, LEAP, or approved equivalent technologies.
- Design and manage Microsoft SQL Server and MySQL databases, including data models, queries, stored procedures, interfaces, backup considerations, and performance optimization.
- Build integrations with approved manufacturing or enterprise systems through available APIs, data connectors, files, or database interfaces.
- Apply coding standards, version control, peer review, exception handling, logging, reusable components, and technical documentation.
- Automation and RPA
- Identify, prioritize, and automate repetitive transactional activities using RPA or workflow automation tools.
- Develop robust automations with input validation, exception handling, audit trails, monitoring, and recovery procedures.
- Measure benefits such as cycle-time reduction, error reduction, capacity released, and improved process compliance.
- Maintain the bot and automation portfolio, including ownership, credentials, dependencies, schedules, and change history.
- Data analytics, BI, and AI
- Create and maintain Tableau or equivalent BI dashboards for manufacturing performance, maintenance, quality, capacity, and management reporting.
- Clean, transform, validate, and analyze data; investigate abnormal trends and communicate insights clearly to business users.
- Define data sources, calculation logic, ownership, refresh frequency, access rules, and data-quality checks.
- Prototype responsible AI or machine-learning use cases where there is a clear business problem, validated data, measurable value, and appropriate human oversight.
- Project delivery and user adoption
- Lead or coordinate digitalization pr ojects from ideation through requirements, development, testing, deployment, training, stabilization, and handover.
- Manage scope, priorities, milestones, dependencies, risks, decisions, and stakeholder communication.
- Plan and conduct unit testing, integration testing, user acceptance testing, and post-deployment verification.
- Create user guides, technical documents, training materials, release notes, and support procedures; collect feedback and drive adoption
What qualifications will make you successful? - Bachelor's degree in computer science, Software Engineering, Information Technology, Automation, Mechatronics, Data Science, or a related technical field.
- 1-3 years of relevant experience in software development, industrial digitalization, automation, data analytics, or a similar role. Strong graduate profiles with relevant projects may also be considered.
- Working proficiency in C#/.NET and web technologies such as HTML, CSS, and JavaScript. PHP, LEAP, or other approved low-code platforms are advantageous.
- Practical knowledge of Microsoft SQL Server and/or MySQL, including relational design, SQL queries, data validation, and performance fundamentals.
Rewards designed for you
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. At Schneider Electric, we're here for what matters most to you. Discover more at our Career Page .
* Country-specific programs and initiatives may be available.
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!
€40 billion global revenue
+9% organic growth
150 000+ employees in 100+ countries
You must submit an online application to be considered for any position with us. This position will be posted until filled.
Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and 'inclusion' is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do.
At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value. Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders. You can find out more about our Trust Charter here
Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct.
Responsibilities
The
Digital Design Engineer develops and sustains practical digital solutions that improve manufacturing productivity, decision-making, process reliability, and user experience. The role converts business needs into secure, maintainable applications, automations, databases, analytics, and AI-enabled solutions, while coordinating with production, engineering, quality, IT, and other stakeholders from concept through deployment and support.
Key Outcomes - Digital solutions are delivered safely, on time, and against clearly defined business requirements.
- Manual and repetitive work is reduced through fit-for-purpose automation and standardized workflows.
- Manufacturing data is reliable, accessible, traceable, and converted into actionable dashboards and insights.
- Applications and automations are documented, tested, adopted by users, and supported through a sustainable lifecycle.
- IT/OT cybersecurity, access control, data protection, and site governance requirements are embedded in every solution.
What will you do? Business analysis and solution design - Engage stakeholders to understand operational pain points, map current processes, and define functional and non-functional requirements.
- Assess solution options and recommend an appropriate approach using web applications, low-code platforms, RPA, BI, databases, analytics, or AI.
- Prepare solution concepts, process flows, user stories, acceptance criteria, effort estimates, risks, and implementation plans.
- Ensure proposed solutions are scalable, maintainable, user-friendly, and aligned with site architecture and governance.
Application and database development - Design, develop, test, deploy, and maintain web-based applications using .NET/C#, PHP, HTML, CSS, JavaScript, LEAP, or approved equivalent technologies.
- Design and manage Microsoft SQL Server and MySQL databases, including data models, queries, stored procedures, interfaces, backup considerations, and performance optimization.
- Build integrations with approved manufacturing or enterprise systems through available APIs, data connectors, files, or database interfaces.
- Apply coding standards, version control, peer review, exception handling, logging, reusable components, and technical documentation.
Automation and RPA - Identify, prioritize, and automate repetitive transactional activities using RPA or workflow automation tools.
- Develop robust automations with input validation, exception handling, audit trails, monitoring, and recovery procedures.
- Measure benefits such as cycle-time reduction, error reduction, capacity released, and improved process compliance.
- Maintain the bot and automation portfolio, including ownership, credentials, dependencies, schedules, and change history.
Data analytics, BI, and AI - Create and maintain Tableau or equivalent BI dashboards for manufacturing performance, maintenance, quality, capacity, and management reporting.
- Clean, transform, validate, and analyze data; investigate abnormal trends and communicate insights clearly to business users.
- Define data sources, calculation logic, ownership, refresh frequency, access rules, and data-quality checks.
- Prototype responsible AI or machine-learning use cases where there is a clear business problem, validated data, measurable value, and appropriate human oversight.
Project delivery and user adoption - Lead or coordinate digitalization pr ojects from ideation through requirements, development, testing, deployment, training, stabilization, and handover.
- Manage scope, priorities, milestones, dependencies, risks, decisions, and stakeholder communication.
- Plan and conduct unit testing, integration testing, user acceptance testing, and post-deployment verification.
- Create user guides, technical documents, training materials, release notes, and support procedures; collect feedback and drive adoption
What qualifications will make you successful? - Bachelor's degree in computer science, Software Engineering, Information Technology, Automation, Mechatronics, Data Science, or a related technical field.
- 1-3 years of relevant experience in software development, industrial digitalization, automation, data analytics, or a similar role. Strong graduate profiles with relevant projects may also be considered.
- Working proficiency in C#/.NET and web technologies such as HTML, CSS, and JavaScript. PHP, LEAP, or other approved low-code platforms are advantageous.
- Practical knowledge of Microsoft SQL Server and/or MySQL, including relational design, SQL queries, data validation, and performance fundamentals.
