Application Engineer
Описание от работодателя
The Applications Engineer designs and delivers digital solutions for manufacturing environments. This role sits at the intersection of Operational Technology (OT) and Information Technology (IT), developing applications and integrations that connect shop-floor systems to enterprise platforms.
You will analyse client requirements, architect scalable solutions, and implement secure, high-performance systems that improve operational efficiency, visibility, and data-driven decision-making.
This is a hands-on engineering role requiring strong technical capability, structured thinking, and the ability to operate across multidisciplinary teams.
Key Responsibilities
1. Requirements & Solution Design
Engage stakeholders to gather business, operational, and technical requirements across OT and IT environments.
Develop clear technical specifications and solution designs.
Ensure solutions account for networking, cybersecurity, data governance, and operational constraints.
2. Application Development
Design, develop, configure, deploy, and maintain industrial software applications.
Ensure solutions are scalable, secure, maintainable, and aligned with engineering standards.
3. SCADA & HMI Development
Develop HMI screens and SCADA logic.
Integrate data from PLCs, historians, databases, and IIoT platforms.
Apply sound usability and operational design principles.
4. Database & Data Management
Design and maintain database schemas and data models.
Develop optimized SQL queries.
Ensure data integrity, performance, and reliability across SQL (and relevant NoSQL) environments.
5. System Integration
Design and implement APIs and messaging interfaces between:
PLC/DCS systems
IIoT platforms
MOM/MES systems
ERP systems
Analytics platforms
Apply appropriate protocols (e.g., REST, MQTT, OPC UA).
Ensure secure, resilient, and interoperable integrations.
6. Architecture & Deployment Support
Contribute to OT/IT system architecture and data flow design.
Support deployment planning including:
Server environments
Networking
Redundancy and backup strategies
Long-term maintainability
7. Cybersecurity & Compliance
Apply secure coding and integration practices.
Implement appropriate access control and secure communication protocols.
Align solutions with relevant cybersecurity standards and guidelines.
8. Testing & Quality Assurance
Develop and execute structured test plans across:
Application logic
SCADA components
Databases
Integrations
Identify and resolve defects.
Protect operational continuity during changes and releases.
9. Support & Documentation
Provide proactive technical support and troubleshooting.
Maintain accurate documentation covering:
System configurations
Architecture diagrams
Integration points
Project deliverables
10. Professional Development
Continuously build knowledge in:
Industrial automation
IIoT and smart manufacturing
Software engineering practices
Industrial networking
Cybersecurity standards
Performance Metrics
Billable Utilisation
Customer Satisfaction (CSAT)
Delivery Efficiency (Hours Saved vs Estimates)
Professional Development Achievement
Minimum Qualifications
Bachelors degree in Engineering, Computer Science, or related field.
Proficiency in Python, C#, Java, and SQL.
Valid drivers license and willingness to travel.
Experience Required
2+ years experience in industrial automation or industrial software.
Practical experience with at least one industrial platform (PLC, SCADA, DCS, or similar).
Exposure to system integration involving databases, APIs, or messaging protocols.
Experience working in industrial sectors such as FMCG, Mining, Water, or Manufacturing.
Experience collaborating within multidisciplinary engineering teams.
Preferred Competencies
Exposure to IIoT and cyber-physical systems (edge/cloud concepts).
Familiarity with:
OPC UA
MQTT
REST APIs
Working knowledge of networking fundamentals (IP addressing, VLANs, secure communication).
Awareness of IEC 62443 or industrial cybersecurity principles.
Familiarity with ISA-95 or ISO 9001 environments.
Interest in DevOps / DevSecOps practices in industrial software.
Core Technical Skills
Programming & Development
Python, C#, or Java
SQL and structured development practices
SCADA & Industrial Systems
HMI development
PLC/DCS integration
Database Design
Relational database modelling
Query optimisation
Data integrity management
Integration & APIs
REST, MQTT, OPC UA or equivalent
Industrial system interoperability
Testing & Debugging
Structured validation and troubleshooting across OT and IT layers
Documentation
Clear and structured technical documentation
Industrial Networking
IP addressing
Secure communication fundamentals
Industrial connectivity considerations