Senior OT & IT Data Specialist

• Participate in site-level architecture design activities across manufacturing locations and support implementation of the Smart Factory Data Backbone platform.

• Install configure maintain and troubleshoot Data Backbone infrastructure including Kubernetes/OpenShift-based edge deployments.

• Integrate industrial equipment PLCs and OT systems using industrial protocols such as Siemens S7 OPC UA MQTT and similar connectivity technologies.

• Troubleshoot OT/IT networking issues including TCP/IP routing NAT firewalls DNS certificates and edge-to-cloud connectivity.

• Build support and maintain industrial data pipelines messaging solutions and integration architectures using technologies such as Litmus MQTT and OPC UA.

• Develop and maintain industrial data models to contextualize machine asset and time-series data for downstream applications and analytics.

• Perform data validation and troubleshooting across the complete machine-to-cloud data flow including equipment network edge platform data pipeline and database/cloud environments to ensure data quality accuracy and reliability.

• Support technical acceptance testing of vendor solutions following deployment and contribute to Site Acceptance Testing (SAT) activities.

• Support IT/OT risk assessments related to the Smart Factory Data Backbone platform and connected manufacturing systems.

• Contribute to the development and maintenance of data governance standards documentation tag naming conventions and tag enablement processes.

• Produce and maintain technical documentation including system designs technical procedures configuration guides governance documentation and operational support materials.

• Collaborate closely with architects lifecycle teams software developers data engineers system integrators vendors and manufacturing stakeholders to support successful project delivery.

• Support system enhancements upgrades troubleshooting activities and continuous improvement initiatives for industrial data platforms and connected systems.

• Transfer technical knowledge to lifecycle teams contractors vendors developers and support personnel to ensure sustainable long-term platform ownership.

• Take ownership of assigned technical activities and proactively drive issues to resolution while effectively communicating progress risks and recommendations to stakeholders.

• Ensure compliance with company procedures quality standards cybersecurity requirements and engineering governance practices.

• Bachelors degree in information technology Data Science Automation Industrial Engineering Electrical Engineering Computer Science Engineering Technology or a related discipline.

• Masters degree in a relevant technical discipline is preferred.

• Minimum 7 years of relevant professional experience supporting one or more of the following areas:

convergence

automation

and Smart Factory platforms

data engineering

IT

engineering

engineering

• Strong experience with industrial protocols and connectivity technologies such as OPC UA MQTT Siemens S7 or equivalent industrial communication protocols.

• Strong understanding of OT/IT networking concepts including TCP/IP routing NAT firewalls DNS certificates and secure connectivity.

• Experience designing implementing or supporting industrial data pipelines messaging platforms and integration architectures.

• Experience working with industrial Historians time-series databases or similar industrial data platforms.

• Experience with Kubernetes OpenShift Docker or other containerized deployment technologies.

• Experience with Litmus or equivalent industrial edge platforms is preferred.

• Experience with AVEVA Historian QuestDB PI System Ignition Historian or equivalent Historian/time-series database platforms is desirable.

• Experience with tag enablement Historian/SCADA tag scaling and configuration activities is preferred.

• Experience with Unified Namespace (UNS) architectures and industrial data contextualization is desirable.

• Experience working in multi-site manufacturing industrial process industry energy oil and gas utilities or brownfield operational environments is advantageous.

• Familiarity with industrial cybersecurity practices and standards such as IEC 62443.

• Experience supporting production platforms operational support teams and lifecycle management activities.

• Experience collaborating with external technology vendors system integrators and third-party service providers.

• Ability to develop and maintain solutions using Python Go TypeScript Node-RED or similar technologies.

• Experience with modern software development and operational practices including SLAs change management incident management monitoring and continuous improvement.

• Excellent written and verbal communication skills with the ability to collaborate effectively across OT IT engineering and business teams.

• Demonstrates ownership by taking responsibility for issues following through on actions and driving tasks to completion.

• Shows initiative adaptability and a proactive attitude while working across organizational and geographical boundaries.

• Produces accurate maintainable and well-documented technical solutions while maintaining high standards of quality and reliability.

• Comfortable working in a global environment with stakeholders across multiple regions and time zones.

• Willingness to travel internationally including visits to Denmark and manufacturing sites as required.