Lead Consultant for Cloud & Engineering providing senior technical and engineering leadership across complex client engagements.
Responsibilities
Provide senior technical and engineering leadership across client engagements
Help clients shape and deliver practical strategies for cloud adoption, optimisation and migration
Lead discovery and design sessions, technical workshops, architecture reviews, proof‑of‑concept projects and evaluations of new technologies and vendors
Guide and de‑risk programmes and projects, promoting iterative delivery and incremental value
Provide technical leadership to cross‑functional teams delivering and prototyping platforms, services and products
Lead overall technical direction for complex substation projects from pursuit through design, construction, and commissioning.
Responsibilities
Serve as overall technical leader for assigned substation projects and pursuits
Lead physical design for AIS and GIS substations, including greenfield installations, expansions, and brownfield modifications
Lead substation designs for voltage classes ranging from distribution/sub-transmission through 230 kV, 345 kV, 500 kV, and 765 kV
Lead multidisciplinary design teams across substation physical, protection and control, civil, structural, geotechnical, SCADA/telecommunications, and other disciplines
Establish project technical approach, design basis, discipline interfaces, deliverable strategy, and execution plan
Lead Salesforce Marketing Cloud implementation and transformation projects, designing architecture, solution design, integration, and governance across multiple clients.
Compensation
As well as a competitive salary, the candidate will enjoy a benefits package that they can tailor to their needs
Responsibilities
Lead architecture and solution design of Salesforce Marketing Cloud implementations
Translate business, marketing, campaign, data, security, and operational requirements into scalable SFMC solution designs
Produce clear architecture documentation, including solution designs, data models, integration designs, data-flow diagrams, security models, environment strategies, and deployment approaches
Provide strategic consultancy on SFMC platform and data use
Support business growth by improving efficiency and enhancing reusable components
Design and deliver AI solutions for public-sector clients using NVIDIA accelerated computing platforms.
Compensation
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 69,000 EUR – 119,600 EUR for Level 3; and 87,750 EUR – 152,100 EUR for Level 4.
Responsibilities
Translate public‑sector mission goals into technical architectures
Collaborate with partners to build and demonstrate prototypes using Python and PyTorch
Define paths from proof of concept to production deployment on NVIDIA accelerated platforms
Build containerized deployment patterns using Kubernetes
Lead discovery sessions, technical workshops and field trials
Requirements
Master’s degree in Computer Science, Electrical Engineering, Computer Engineering, Applied Statistics, Physics, Mathematics or equivalent
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