Senior Specialist - Industry 4.0 & Manufacturing Data
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Must-have:PythonCloudDataAISecuritySeniorLeadRemoteHybrid
About the company
Step into a pivotal role where you’ll help shape and influence Industry 4.0 strategy within a fast‑growing specialist consultancy.
Your tasks
We are seeking a Senior Specialist – Industry 4.0 & Manufacturing Data to act as a technical authority and strategic advisor across digital manufacturing initiatives. This role blends deep technical expertise, regulated-industry rigor, and client-facing leadership, supporting both delivery excellence and the growth of Deep Digital’s Industry 4.0 services.
- Act as a trusted senior advisor to clients on Industry 4.0, manufacturing data, and digital transformation
- Lead development of digital transformation strategies and roadmaps, including:
- Manufacturing Data Platforms & Historians
- Unified Namespace (UNS) and event-driven architectures
- OT/IT integration and cloud/hybrid data strategies
- Guide technology selection and architecture across:
- Data integration, streaming, and contextualisation platforms
- MES, LIMS, QMS, CMMS, and Enterprise integrations
- ## Control systems and OT platforms
- Advanced analytics, AI/ML, and digital twin use cases
- Embed data, validation, and governance strategies into project designs in collaboration with internal engineering teams and client stakeholders
- Lead small, multidisciplinary teams delivering projects from concept through design, validation, and handover.
Requirements
Qualifications
- Bachelor’s or master's degree in data science, Computer Science, Statistics, or a related field and 6+ years of relevant experience. Where a degree is not held—significant professional experience that demonstrates the ability to excel in this role.
- Deep experience/understanding across Industry 4.0 domains, including:
- Control systems, automation, and OT environments.
- Manufacturing data historians and platforms
- IT/OT integration, networking, and cybersecurity
- ## Cloud and hybrid infrastructure
- Vertical and horizontal system integration (MES–ERP–Enterprise)
- ## Strong understanding of:
- Data warehousing concepts, ETL/ELT processes, and data governance models
- ISA-88 and ISA-95 standards for batch and manufacturing operations
- FAIR data principles and data integrity requirements (ALCOA+)
- Solid experience working within GAMP 5 frameworks and Computer Systems Validation (CSV) in regulated manufacturing environments
Preferred Skills
- Excellent verbal, written, and presentation skills, with the ability to communicate complex concepts to both technical and executive audiences
- Demonstrated ability to manage multiple concurrent projects, prioritise effectively, and meet deadlines
- Strong problem-solving skills with high attention to detail
- Understanding of ontologies and semantic models and their role in data standardisation and interoperability
- Experience with data visualisation or analytics tools (e.g. Power BI, Tableau, Grafana)
- Hands-on experience with SQL, Python, R, or similar data-focused programming languages
- Exposure to PAT, real-time release, predictive analytics, or closed-loop control use cases
What we offer
- ## Hybrid working
- ## 22 days Annual Leave
- ## 5% Pension
- ## Paid Sick days
- ## Income Protection
- ## Life Insurance
- ## Professional development