Manufacturing Software Developer

As a Manufacturing Software Developer, you will gather and analyze requirements, design, develop, test, maintain, and troubleshoot digital solutions. You will drive the digitalization of manufacturing operations by developing and supporting shopfloor and supply chain applications, automating data collection and retrieval workflows, and implementing complex data transformation, analytics, and machine learning solutions across value chain processes.

• →Partner with management, operations teams, IT, and global solution teams to design and deliver digital solutions that enhance productivity, optimize operations, and enable data-driven decision-making.
• →Take the lead in digital solution projects from planning through implementation, coordinating cross-functional stakeholders, managing scope, risks, and timelines, and ensuring successful delivery against agreed business outcomes.
• →Understand manufacturing and supply chain operational needs, gather and analyze requirements, and translate them into clear technical specifications.
• →Develop and implement full-stack software solutions, databases, and analytics applications, ensuring seamless integration across data, systems, and workflows.
• →Create, execute, and document test plans to ensure that developed solutions meet functional, performance, and reliability requirements.
• →Integrate, consolidate, cleanse, and transform complex datasets into actionable insights for analytical, operational, and workflow applications.
• →Provide ongoing operational support for existing applications, ensuring reliability, minimal downtime, and timely issue resolution.
• →Ensure that all solutions comply with established data governance, cybersecurity, and regulatory standards and policies.
• →Evaluate system architecture and emerging technologies to identify opportunities to optimize performance, strengthen data architecture, and improve solution scalability.
• →Stay current with industry trends, tools, and best practices in manufacturing digitalization and solution development, and apply relevant advancements to improve solution delivery and operational outcomes.
• →May mentor less experienced engineers by means of code review or overseeing design.

• Bachelor’s Degree in Software Engineering, Computer Science, or a related discipline, with a minimum of five years of relevant industry experience.
• Demonstrated experience in full-stack software development, software development lifecycle practices, modern data platforms, and data integration workflows.
• Proven experience designing, developing, and deploying data pipelines and business intelligence solutions for manufacturing or supply chain applications.
• Proficiency in relevant programming languages and development frameworks, including SQL, Python, JavaScript, C#, Visual Basic, ASP.NET, React, or comparable technologies.
• Practical experience with ETL tools, data integration platforms such as Microsoft Fabric, and RESTful API development or integration.
• Hands-on experience designing, developing, or supporting relational and non-relational databases, such as Microsoft SQL Server, PostgreSQL, and MongoDB.
• Working knowledge of business intelligence and visualization platforms such as Qlik Sense, Power BI, and Grafana, as well as manufacturing software applications; exposure to AI and machine learning implementations is preferred.
• Strong analytical and problem-solving capabilities, supported by effective leadership, communication, and stakeholder management skills.
• Self-motivated, innovative, and results-oriented, with a proven track record of delivering complex projects
• Ability to quickly learn and apply new skills and technologies, remain current with industry developments, and work effectively across diverse technology stacks.
• Ability to lead projects and perform effectively both independently and collaboratively in a fast-paced, cross-functional environment.