Datatonic
As of 30 October 2026, Datatonic has 19 open roles (5 new in 30 days), its data & ai team is hiring most, and its postings name Python, SQL and Java as the tools the team works in.
As of 30 October 2026 · refreshed daily · counts move as websites, DNS and career sites are re-read.
- Headquarters
- Canary Wharf, England, United Kingdom
- Employees
- 51-200 employees (linkedin)
- Sells to
- financial services, gaming, media
- Certifications on site
- ISO 27001, ISO 9001
- Site languages
- EN, FR
- Career system
- Ashby
Datatonic in one screen
Read from datatonic.com: what the company does, the customers it names, the buyers we can actually see, and the companies that sell the same thing.
Datatonic is a cloud data and AI consultancy that develops generative AI, marketing analytics, and unified data platforms for businesses. Its offerings include AI Workbench, Gemini Enterprise, Creative Assistant, Fan Engagement, Gameplay Assistant, Media Search and Discovery, Retail Assistant, and the Unified Data + AI Platform. It serves industries such as financial services, gaming, media, retail, and telecommunications.
Named on the site: financial services, gaming, media, retail, telecommunications, gaming industry, media companies, retail businesses.
Nearest companies by what they do, sell and whom they serve, 51+ employees. 590 scored.
What Datatonic says it runs
Tools named in the company's own postings as the team's systems, with the sentence that says so. What the website and DNS show is listed separately.
As a Senior Machine Learning Engineer, you'll know how to engineer beautiful code in Python and take pride in what you produce.• Database Proficiency: Strong knowledge of SQL for querying and managing data.• Programming Proficiency – Hands-on experience with Python, Java, and SQL for data engineering and solution developmentTerraform), CI/CD and production operations.• Data Architecture – Proven experience designing and building data warehouse / lakehouse solutions using technologies like BigQuery, Azure Synapse, Snowflake, Databricks• Data Architecture – Proven experience designing and building data warehouse / lakehouse solutions using technologies like BigQuery, Azure Synapse, Snowflake, Databrickswith Vertex AI / Agent Development Kit) to automate and optimise platform operations.• Classical ML & Stats: Classical ML techniques (TensorFlow, PyTorch, scikit-learn), forecasting, and feature engineering.• Classical ML & Stats: Classical ML techniques (TensorFlow, PyTorch, scikit-learn), forecasting, and feature engineering.• Cloud Expertise: Familiarity with cloud platforms such as Google Cloud, AWS, or Azure.• Cloud Expertise: Familiarity with cloud platforms such as Google Cloud, AWS, or Azure.• Salesforce or other CRM tool experience related to opportunity tracking and forecasting.• Experience with JIRA or similar ITS software.• Expertise in ETL and Big Data: Hands-on experience with ETL tools, Hadoop-based technologies (e.g., Spark), and data processing frameworks like Beam or Flink.Vendors whose code loads on datatonic.com or whose records sit in its DNS. Page plumbing (libraries, fonts, consent banners) is left out.
19 open roles, 10 opened in 90 days
Read hourly from the company's career system. Open roles and new roles in the last 30 days, by team. Companies hiring data & ai in United Kingdom →
| open · new 30 d | |
|---|---|
| Data & AI | 5 · 2 |
| Sales | 5 · 1 |
| Product, program & project management | 4 · 1 |
| Business development & strategy | 1 · 0 |
| IT operations & business systems | 1 · 0 |
| Software engineering | 1 · 0 |
What is changing, read from the postings
Intents are events the employer states about itself, each with the sentence and the posting it came from.
No change signals read in the current postings.
Sales, marketing and IT leaders by function. Add Datatonic to a monitor and get a webhook when a role opens, a tool appears or a signal is read.
Start free, no card. The first 20 are above; e-mails are verified at the mail server when you open them.
Companies like Datatonic
Nearest by what they do, what they sell and whom they sell to, 51+ employees. 6 of 590 scored.
From the company's own website
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Datatonic (Canary Wharf, United Kingdom, 51-200 employees) has 19 open roles, 5 new in 30 days, and names 14 tools in its postings. (Breaknorm, 30 October 2026, https://breaknorm.co/company/datatonic.com)
Read from the source, not self-reported
Every number on this page can be traced to a page we crawled or a posting we read. Full methodology →
- ProfileBuilt from datatonic.com: summary, offerings, customers, certifications and contact points are extracted from its pages, with a confidence score per field.
- HiringRead hourly from the company's Ashby career site; reposts collapse into one record.
- Tech stackTools the employer's own text names as the team's systems, with the quote; website scripts counted separately.
- HeadcountLinkedIn where known, otherwise estimated from the site.
Datatonic: questions
Does Datatonic use Python?
Yes, by the company's own words: 6 postings name it, first seen 2026-05-11, in the data & ai team.
Is Datatonic hiring?
19 open roles as of 30 October 2026, 5 opened in the last 30 days and 0 closed. The largest team hiring is data & ai.
Where does this profile come from?
From datatonic.com itself: we crawled it on 2026-08-06, built the profile on 2026-08-16, and read its career site (Ashby) hourly since. Headcount is from LinkedIn.
Who should I write to at Datatonic?
The people are behind the login: decision makers by function, verified at the mail server when you open them. 0 public role addresses from the site are there too.
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The same data as a search, over MCP and the API, as bulk files, or pushed to you as it changes.
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