Industrial Data & IT/OT Integration Architect / Shopfloor

Project overview

Westhouse is one of the leading recruitment companies for the placement of highly qualified specialists from the entire IT lifecycle and engineering sector.

We are currently looking for a

Industrial Data & IT/OT Integration Architect / Shopfloor - Remote

Framework Information

Your Qualifications

• Reference: 180655
• Start: 2026-11-02 / asap
• Duration: 3 months + extensions
• Location: Remote
• Scope of work: full-time
• Several years of professional experience as a Data Architect, Data Engineer, IoT Systems Engineer, or IT/OT Integration Specialist
• Sound experience in the technical management of data projects in an industrial environment, ideally with concrete production experience from the shopfloor area (automation, electrical engineering, production, ERP)
• Core competencies: IoT background, data aggregation from various sources, creation of ETL workers, porting to Odoo, and data creation and processing
• Industrial and shopfloor understanding: Practical experience from the production environment (electrical engineering, automation technology, ERP/MES/SCADA connections) and understanding of manufacturing and process flows on the shopfloor
• Very good knowledge in the development of ETL pipelines and workers, data modeling, and data integration
• Practical experience with Odoo (or comparable modular ERP systems) and modern data platforms such as Databricks
• Interface and communication skills: Strong ability to understand, structure, and solution-orientedly forward complex technical topics with specialist departments (production, electrical engineering, software) to project management
• Analytical, structured, and independent way of working, team and user orientation, assertiveness, and quality awareness
• Very good German and English skills.
• Desirable additional knowledge: Knowledge in MLOps, CI/CD pipelines for Data Engineering, or containerized environments (e.g., Docker, Kubernetes).
• Ideally, experience with quality-oriented image recognition systems in automation or processing technology.
• Experience in collaboration between external partners, IT development, and shopfloor operations is an advantage

Responsibilities

Interested?

Interested? We look forward to receiving your meaningful CV in electronic form.

Your Contact Persons

Jahn Schiefelbein

P: [contact removed]

E: [contact removed]

• Support in the technical coordination of sub-areas in the project (data, ERP, image recognition, process)
• Better capture requirements from specialist departments and hand them over to the Product Owner in a coordinated manner
• Technical Data and Integration Architecture: Overall technical responsibility for the data infrastructure and interface architecture at the interface between shopfloor (IoT/electrical engineering), cloud data platforms (e.g., Databricks), and ERP systems (Odoo)
• ETL Data Pipeline Development: Conception, setup, and support of robust ETL pipelines and workers for the extraction, transformation, and migration of heterogeneous data from various sources (production facilities, sensor technology, computer vision / image recognition) to Odoo and downstream analysis platforms.
• ERP Data Integration and Processing (Odoo): Technical responsibility for structured data creation, data modeling, and processing within Odoo, as well as ensuring consistent data flows along the entire manufacturing and processing process.
• IoT and Shopfloor Integration / IT/OT Integration: Connection of shopfloor data sources (sensor technology, automation technology, control systems) and clarification of technical requirement parameters directly with the on-site production and electrical engineering teams
• Technical Coordination and Interface Coordination: Functional translation and coordination of the sub-areas data, ERP, image recognition, and process.
• Capture of technical requirements in the specialist departments and targeted handover/interface work in close coordination with senior project management.
• Data Quality and Pipeline Monitoring: Definition of standards for ensuring data quality, monitoring of automated pipeline processes, and error analysis and optimization in case of data and system breaks.

Project details

• Start: 2026-11-02
• Duration: 3 Monate + Verlängerungen
• Remote: remote
• Location: Remote, DE
• Languages: German