Description review
Senior Specialist - Industry 4.0 & Manufacturing Data
Deep DSG · Ireland · back to the listing
HR standards
57/100
needs work
Title ↔ description
71/100
solid
Reads as
Unclear
no confident match
What this role officially is
software architect — ESCO, the EU occupation classification
Software architects create the technical design and the functional model of a software system, based on functional specifications. They also design the architecture of the system or different modules and components related to the business' or customer requirements, technical platform, computer language or development environment.
Also known as: software architects, software designer, application architect
How others title the same work
Large employers
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- Senior/Staff/Principal Engineer Canonical Ltd.
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- Distinguished, Enterprise Architect Salesforce
Startups
- Staff Software Engineer Curri
What the listing never says
- 38 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
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:
• 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.
Job benefits:
• Hybrid working
• 22 days Annual Leave
• 5% Pension
• Paid Sick days
• Income Protection
• Life Insurance
• Professional development
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
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
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:
• 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.
Job benefits:
• Hybrid working
• 22 days Annual Leave
• 5% Pension
• Paid Sick days
• Income Protection
• Life Insurance
• Professional development
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
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