Senior Specialist - Industry 4.0 & Manufacturing Data
Senior Data Consultant
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.
Location: Remote - Ireland
Main Responsibilities:
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Act as a trusted senior advisor to clients on Industry 4.0, manufacturing data, and digital transformation
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Lead development of digital transformation strategies and roadmaps, including:
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Manufacturing Data Platforms & Historians
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Unified Namespace (UNS) and event-driven architectures
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OT/IT integration and cloud/hybrid data strategies
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Guide technology selection and architecture across:
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Data integration, streaming, and contextualisation platforms
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MES, LIMS, QMS, CMMS, and Enterprise integrations
- Control systems and OT platforms
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Advanced analytics, AI/ML, and digital twin use cases
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Embed data, validation, and governance strategies into project designs in collaboration with internal engineering teams and client stakeholders
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Lead small, multidisciplinary teams delivering projects from concept through design, validation, and handover.
Job benefits:
- Hybrid working
- 22 days Annual Leave
- 5% Pension
- Paid Sick days
- Income Protection
- Life Insurance
- Professional development
Requirements
Qualifications:
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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.
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Deep experience/understanding across Industry 4.0 domains, including:
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Control systems, automation, and OT environments.
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Manufacturing data historians and platforms
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IT/OT integration, networking, and cybersecurity
- Cloud and hybrid infrastructure
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Vertical and horizontal system integration (MES–ERP–Enterprise)
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Strong understanding of:
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Data warehousing concepts, ETL/ELT processes, and data governance models
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ISA-88 and ISA-95 standards for batch and manufacturing operations
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FAIR data principles and data integrity requirements (ALCOA+)
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Solid experience working within GAMP 5 frameworks and Computer Systems Validation (CSV) in regulated manufacturing environments
Preferred Skills:
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Excellent verbal, written, and presentation skills, with the ability to communicate complex concepts to both technical and executive audiences
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Demonstrated ability to manage multiple concurrent projects, prioritise effectively, and meet deadlines
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Strong problem-solving skills with high attention to detail
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Understanding of ontologies and semantic models and their role in data standardisation and interoperability
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Experience with data visualisation or analytics tools (e.g. Power BI, Tableau, Grafana)
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Hands-on experience with SQL, Python, R, or similar data-focused programming languages
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Exposure to PAT, real-time release, predictive analytics, or closed-loop control use cases
Highlights
Step into a pivotal role where you’ll help shape and influence Industry 4.0 strategy within a fast‑growing specialist consultancy.
Originally posted on Himalayas