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

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