Senior Specialist - Industry 4.0 & Manufacturing Data

Deep DSG; Ireland; Remote; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Hybrid work model

Annual leave & pension

Job summary

Deep DSG is 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 with 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. You will lead digital transformation strategies and roadmaps, including manufacturing data platforms, UNS,

Qualifications

• 6+ years of relevant Industry 4.0 experience.
• Degree in data science, CS, statistics or a related field; significant professional experience accepted.
• Deep knowledge of manufacturing data historians, MES–ERP, and OT/IT integration.

Responsibilities

• Act as trusted senior advisor to clients on Industry 4.0 and digital transformation.
• Lead development of digital transformation strategies and roadmaps.
• Oversee data platforms, UNS, event-driven architectures, and cloud/hybrid strategies.
• Guide technology selection across data integration, MES, LIMS, QMS, CMMS, and enterprise systems.

Skills

Stakeholder comms

Problem solving

Data viz

SQL

Python

R

Industry 4.0 knowledge

Education

Bachelor’s or Master’s degree in data science / CS / statistics or related field

Tools

Power BI

Tableau

Grafana

SQL

Python

R

Job description

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.