Role Overview

The Digital Platform Engineer is responsible for designing, implementing, and maintaining digital infrastructure to enable machine connectivity, real-time data integration, and visualization within manufacturing environments.

The role focuses on establishing reliable data pipelines from shopfloor equipment (e.g., new plating line machines), ensuring seamless integration with SCADA systems, and enabling real-time monitoring and analytics through platforms such as Grafana.

This position plays a critical role in building scalable and secure digital foundations to support smart factory initiatives and operational excellence.

Key Responsibilities

Infrastructure Setup & Configuration

Design and implement infrastructure required to support machine connectivity and data acquisition (edge devices, gateways, network configurations)
Configure environments for data ingestion, processing, and visualization (on-prem / cloud / hybrid)
Ensure system reliability, scalability, and security of all platform components

Machine Connectivity & OT Integration

Establish connectivity with manufacturing equipment (e.g., plating line machines, sensors, PLCs)
Integrate machine data using industrial protocols (e.g., OPC-UA, MQTT, Modbus, REST APIs)
Ensure stable and secure communication between OT and IT environments
SCADA Integration: Collaborate with automation engineers to interface seamlessly with SCADA systems and PLCs (e.g., Siemens, Rockwell) to extract telemetry and status data
Data Pipeline Reliability: Ensure continuous, low-latency ingestion of high-frequency machine data from the shop floor to core databases

Real-Time Data & Visualization

Grafana Ecosystem: Own the administration, configuration, and optimization of Grafana for the manufacturing environment
Dashboard Development: Build, maintain, and standardize real-time dashboards tracking OEE (Overall Equipment Effectiveness), chemical parameters (for the plating line), energy consumption, and machine health
Data Storage Management: Manage and optimize time-series databases (e.g., InfluxDB, Prometheus, TimescaleDB) to store and query high-volume machine logs efficiently

Collaboration & Governance

Partner with Manufacturing Automation, Maintenance, and Plating Operations teams to translate production needs into technical requirements
Enforce cybersecurity best practices for IT/OT convergence, ensuring shop-floor data pathways remain secure

Qualifications & Experience

Education & Experience

Bachelor's degree in Computer Engineering, Electrical/Automation Engineering, Information Technology, or a related field
3+ years of experience in a DevOps, Platform Engineering, or Industrial Automation (OT) role within a manufacturing environment

Technical Skills Required

Data Visualization & Storage: Expert-level knowledge of Grafana and experience with time-series databases
Connectivity Protocols: Strong hands-on experience with MQTT, OPC-UA, and connecting PLCs/SCADA systems
Infrastructure & OS: Proficiency in Linux/Windows Server administration, networking concepts (routing, firewalls, VLANs), and containerization (Docker/Kubernetes)
Scripting: Basic programming or scripting skills (e.g., Python, Bash, Node-RED) for data transformation and glue-code

Soft Skills

Strong troubleshooting skills, with a knack for diagnosing complex data-flow bottlenecks between physical machines and software layers
Excellent communication skills to act as the bridge between traditional IT teams and shop-floor operators
Agile mindset, comfortable working in a fast-paced, evolving digital transformation environment

Digital Platform Engineer (DevOps, Grafana)