Qodea is a Google-focused technology group building cloud infrastructure and AI solutions across data, analytics, and cybersecurity. The stack reveals a dual-track operation: a mature analytics layer (Looker, BigQuery, SQL Server, Tableau, Power BI) alongside an emerging AI/ML capability (Vertex AI adoption, LLM orchestration, TensorFlow, PyTorch). Aggressive hiring across engineering and data—with a seniority skew toward senior and principal roles—combined with active projects on LLM integration, scalable APIs, and backend architecture suggests a scaling phase toward product-led delivery rather than pure services.
Notable leadership hires: Technical Lead, Program Director
Qodea operates as a technology group in London delivering cloud infrastructure, data platforms, and cybersecurity solutions to enterprise clients. The company works across Google Cloud Platform, BigQuery, and Looker for analytics; runs Java, Scala, Python, and Node.js backends; and is actively building LLM orchestration and agentic workflows alongside traditional data pipeline work. Current pain points center on modernizing legacy analytics platforms, reducing development bottlenecks, and improving compliance and infrastructure cost optimization. The organization spans 201–500 people and is hiring across UK, US, Philippines, Brazil, Romania, and Portugal.
Primary: GCP, BigQuery, Looker, Tableau, Power BI, Postgres, MySQL, SQL Server. Backend: Java, Scala, Spring Boot, Node.js, Django, Python. Data/ML: TensorFlow, PyTorch, Pandas, scikit-learn, Kafka. Container/DevOps: Kubernetes, Docker, CI/CD. Currently adopting Vertex AI and AppSheet.
London, England. Hiring is active across UK, US, Philippines, Brazil, Romania, and Portugal.
Qodea's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.