Senior Specialist - Industry 4.0 & Manufacturing Data

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

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