OT Cloud Data Engineer

Our client is a global manufacturing organisation accelerating its digital transformation by connecting operational technology, industrial data, and cloud platforms. You will join a team focused on enabling secure connectivity between shop-floor systems and modern cloud-based data environments.

As an OT Cloud Data Engineer, you will bridge the gap between Operational Technology (OT) and cloud-based data platforms. You will work across shop-floor systems, PLC communications, process control environments, and cloud technologies to enable reliable data collection, integration, and analytics. This role sits at the intersection of OT, IT, Cloud Engineering, DevOps, and Data Engineering.

Responsibilities:

• Design and support connectivity between shop-floor systems, PLCs, process control environments, and cloud platforms.
• Build and maintain data pipelines that collect, transform, and deliver manufacturing and operational data.
• Collaborate with OT, automation, and engineering teams to integrate industrial systems with enterprise data platforms.
• Support cloud infrastructure, DevOps practices, and data engineering activities across manufacturing programs.
• Ensure secure, reliable, and scalable data movement between OT and IT environments.
• Troubleshoot connectivity, data integration, and operational technology issues across production environments.

Required Skills:

• Strong experience in Operational Technology (OT), industrial automation, or manufacturing technology environments.
• Understanding of PLC communication, process control systems, and shop-floor operations.
• Experience working with cloud platforms (Azure, AWS, or GCP) and modern cloud architectures.
• Hands-on experience in Data Engineering, including SQL, data integration, and pipeline development.
• Experience with DevOps, cloud infrastructure, and operational support within enterprise environments.
• Strong communication skills and ability to work across OT, IT, engineering, and business teams.

Preferred Skills:

• Experience with MES, SCADA, Historians, OPC-UA, MQTT, or ISA-95 environments.
• Exposure to Industrial IoT (IIoT), Industry 4.0, and manufacturing analytics solutions.
• Knowledge of cybersecurity principles within OT and industrial environments.
• Experience supporting global manufacturing connectivity or digital manufacturing programs.

Contract Details:

• Starting date: TBD
• Type of contract: Contract
• Contract length: 6 months initial contract
• Workload: Full-time
• Location: Europe (Remote)
• Working timezone: European business hours
• Hourly pay: TBD