Industrial Internet of Things Engineer

About Unilever
With 3.4 billion people in over 190 countries using our products every day, Unilever is a business that makes a real impact on the world. Work on brands that are loved and improve the lives of our consumers and the communities around us. We are driven by our purpose: to make sustainable living commonplace, and it is our belief that doing business the right way drives superior performance. At the heart of what we do is our people – we believe that when our people work with purpose, we will create a better business and a better world.
At Unilever, your career will be a unique journey, grounded in our inclusive, collaborative, and flexible working environment. We don’t believe in the ‘one size fits all’ approach and instead we will equip you with the tools you need to shape your own future.
Job Purpose
IIOT Engineer is responsible for designing, implementing, maintaining, and improving Industrial IoT and factory data solutions that securely connect shopfloor equipment, PLC/SCADA systems, industrial networks, and business data platforms. The role supports digital manufacturing, reliable data acquisition, OT cybersecurity compliance, and actionable analytics for safety, quality, cost, service, and sustainability performance.
Main Responsibilities
Design, deploy, and maintain IIOT connectivity from PLC, HMI, SCADA, sensors, utilities, and production equipment to historian, database, dashboard, and enterprise platforms.
Develop and maintain industrial data pipelines using appropriate protocols such as OPC UA, MQTT, Modbus TCP, Profinet, Ethernet/IP, SQL, API, or edge gateway solutions.
Support factory digitalization projects including OEE, energy monitoring, utility monitoring, alarm analytics, predictive maintenance, quality trending, and production performance dashboards.
Ensure data reliability, data quality, tag naming consistency, time synchronization, backup, change control, and documentation for all connected assets and digital solutions.
Design and maintain OT network architecture with proper segmentation between machine network, factory network, and enterprise/cloud connectivity in alignment with Unilever IT/OT requirements.
Support OT cybersecurity activities including asset inventory, access control, vulnerability remediation, patch coordination, secure backup, recovery testing, and compliance evidence preparation.
Troubleshoot PLC communication, network connectivity, data collection, historian, dashboard, and integration issues to minimize production impact.
Collaborate with Engineering, Production, Quality, Safety, IT, Cybersecurity, Global Digital teams, vendors, and contractors to align requirements, implementation, testing, and handover.
Create and maintain technical standards, URS, functional specifications, network diagrams, FAT/SAT protocols, user manuals, training materials, and handover documents.
Identify improvement opportunities and translate operational pain points into practical digital use cases with measurable business benefit.
Skill & Qualifications
Strong knowledge of industrial automation, PLC/SCADA architecture, industrial networks, and manufacturing data systems.
Hands-on experience with data acquisition, historian, SQL database, dashboard development, and data visualization tools such as Power BI.
Understanding of OT cybersecurity fundamentals, network segmentation, asset hardening, backup and recovery, and access management.
Ability to read and create network diagrams, control system architecture, I/O lists, tag lists, data mapping, and technical specifications.
Good analytical thinking and troubleshooting skills for communication, data integrity, and system availability issues.
Project coordination capability with clear follow-up on scope, schedule, budget, risk, documentation, and vendor deliverables.
Good command of both written and spoken English, with ability to communicate technical topics clearly to non-technical stakeholders.
Proficiency in Microsoft Office; Power BI, SQL, Python, KQL, Azure IoT, ADX, or similar tools are an advantage.
Leadership
UL Standards of Leadership
Digital transformation mindset
Change management and stakeholder management
Communicating with impact
Bias for action, problem solving, and continuous improvement
Education & Experience
Bachelor’s degree in Electrical, Automation, Control, Mechatronics, Computer, Information Technology, or related Engineering field.
3-5 years of experience in automation, manufa