Data Pipeline Engineer

We are seeking an experienced Data Pipeline Engineer with a strong background in OT-IT Integration to join our dynamic team. This contractual role involves designing, building, and operating resilient data pipelines that connect operational technology (OT) systems with enterprise information technology (IT) systems. The ideal candidate will be adept at applying Unified Namespace (UNS) principles, modeling industrial data, and delivering secure batch and streaming integrations both on-premise and in the cloud.

As a Data Pipeline Engineer, you will play a crucial role in ensuring seamless data flow, quality, and governance across various industrial and enterprise systems. You will work with cutting-edge technologies and best practices to optimize performance, security, and scalability of data solutions.

Key Responsibilities

• Design, implement, and operate end-to-end batch and streaming data pipelines from SCADA, MES, and Historians to cloud/enterprise platforms (Azure, AWS, GCP).
• Apply Unified Namespace (UNS) principles (ISA‑95/88) for data modeling, metadata management, ensuring data quality, lineage, and governance.
• Develop and maintain industrial integrations using protocols like OPC UA, MQTT, BACnet, Modbus, and build/consume RESTful APIs for SCADA, MES, LIMS, and Historian systems.
• Design database schemas and optimize performance for both SQL and NoSQL data stores.
• Implement robust security measures, including authentication and authorization (authN/authZ) best practices.
• Design for scalability, resilience, and cost efficiency in all data pipeline solutions.
• Utilize Git/GitHub for version control, including branching, code reviews, and release management.
• Create clear and comprehensive architecture diagrams, process flows, and technical specifications.

Requirements

• Minimum 5 to 7 years of experience as a Data Pipeline Engineer or similar role.
• Proven experience in manufacturing or life sciences with OT/IT interoperability.
• Familiarity with GxP, regulated data flows, and enterprise data governance is highly desirable.
• Strong background in designing and implementing data pipelines with Azure Event Hubs/Event Grid.
• Proficiency with industrial communication protocols such as OPC UA, MQTT, BACnet, and Modbus.
• Experience with data modeling, metadata management, and UNS (ISA‑95/88) principles.
• Solid understanding of SQL and NoSQL databases and performance tuning.
• Experience with Git/GitHub for collaborative development and version control.
• Strong analytical and problem-solving skills, with a structured approach to troubleshooting.
• Excellent communication and stakeholder management abilities across technical and business teams.

What We Offer

• An opportunity to work on challenging and impactful OT-IT integration projects.
• A collaborative and innovative hybrid work environment.
• Exposure to a wide range of industrial and cloud technologies.
• Competitive compensation for a contractual role.
• The chance to be part of a team that values technical excellence and continuous improvement.