The leading cloud data + AI consultancy, driving business impact for the world's most ambitious businesses, through cutting-edge cloud technologies.
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12x Google Cloud Partner of the Year. We drive business impact through innovative cloud data, AI and GenAI solutions.
Full company description
The leading cloud data + AI consultancy, driving business impact for the world's most ambitious businesses, through cutting-edge cloud technologies.
LinkedIn followers
31,864
People associated on LinkedIn
324
Reported office locations
One Canada Square, Canary Wharf, London, E14 5AB, GB
Vasagatan 16, Stockholm, Stockholm 111 20, SE
Quai de l'Ile 13, Genève, CH
Business categories
Information Technology
Electronics
Consulting
Business Intelligence
Analytics
Cloud Data Services
Artificial Intelligence (AI)
Big Data
Cloud Infrastructure
Machine Learning
Other recorded names
Datatonic
Specialties
data science
big data
visual analytics
machine learning
cloud analytics
google cloud
generative AI
and AI
Profile identifies a recruitment agency
No
Reported total investment
0
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Industry
IT Services and IT Consulting
Size
201-500 employees
Headquarters
London
Organization type
Privately Held
Year founded
2013
Specialties
data sciencebig datavisual analyticsmachine learningcloud analyticsgoogle cloudgenerative AIand AI
Datatonic has 4 open jobs in Canada as of November 6, 2026. Top locations: Montréal.
7+ YOECandidates need 7 to 12 years in data, analytics, ML or cloud architecture, with at least 3 years in pre-sales or client advisory. Strong cloud, GCP (or AWS/Azure with quick cross-skilling), GenAI and agentic AI knowledge, and experience shaping deals over $1M are expected.
Candidates need deep, hands-on Google Cloud platform experience and a record of scaling data products and AI agents to production. They also need platform-as-a-product thinking, modern consumption architecture knowledge, FinOps experience, enterprise fundamentals, and strong senior stakeholder presentation skills.
Google Cloud, BigQuery, Looker, Vertex AI, Terraform
Candidates need several years in consulting, Big Four or software delivery, including managing million-dollar, multi-year data or AI programmes with 10+ people. They also need commercial skills, SOW and P&L experience, strong executive communication, and Agile or Prince2 certification.
5+ YOECandidates need at least 5 years of enterprise IT sales or consulting experience, with a clear grasp of how organisations make data and AI decisions. They must communicate well with all stakeholder levels and build rapport easily.