Google Cloud data and AI consultancy for enterprise transformation
Datatonic is a Google Cloud-focused consultancy built around Vertex AI, BigQuery, and Dataflow, now actively adopting AgentOps alongside core GCP services. The hiring mix—17 engineers, 9 data specialists, 9 sales roles—and active projects on AI agents and IaC pipelines signal a shift from pure data consulting toward AI product development and delivery automation. Internal pain points around data governance, ML-engineering gaps, and ROI maximization suggest they're scaling beyond advisory into repeatable, deployed solutions.
Datatonic is a cloud data and AI consultancy headquartered in London, founded in 2013, with 201–500 employees. They serve enterprise clients on Google Cloud Platform migrations, data pipeline design, and AI/ML implementation, with technical depth across Vertex AI, BigQuery, Dataflow, and dbt. Active projects span scalable data pipelines, anomaly-detection AI agents, and infrastructure-as-code automation on GCP. The company is currently hiring across engineering, data, and sales in the UK, Croatia, and Sweden, with accelerating velocity.
Primary: GCP (Vertex AI, BigQuery, Dataflow, Cloud Run), dbt, Snowflake, Python, Terraform. Also uses Kubernetes, Apache Spark, Looker, Fivetran, FastAPI. Adopting AgentOps for agentic workflows.
Yes, extensively. GCP is the core platform—Vertex AI, BigQuery, Dataflow, Cloud Run, Pub/Sub, and Gemini API are primary. Also actively adopting GCP's Agent Development Kit and Gemini.
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