Technology partner for investment firms building AI and data capabilities
Saragossa is a technology consulting firm serving investment businesses and portfolio companies, with a heavy engineering and data focus (32 engineering roles, 9 data roles actively hiring). The stack spans Python, Scala, C#, cloud platforms (Azure, AWS, GCP), and data infrastructure (Snowflake, Spark, Airflow, dbt, Palantir), now adopting Copilot Studio — signaling a shift toward embedding AI and automation into client operations. Active projects center on greenfield LLM deployments, IaC scaling with Terraform, and applied AI solutions for private equity, while internal pain points cluster around governance, vendor complexity, and reducing manual processes.
Notable leadership hires: Head of AI Innovation, Head of IT Services, Product Director
Saragossa operates as a technology consulting and staffing partner focused on investment firms and their portfolio companies. Founded in 2015 and based in London, the firm helps clients build world-class technical teams, deliver complex projects, and accelerate their technology transformation. Services span research, recruitment, consulting, and delivery across software engineering, data science, AI/ML, and financial technology. The firm is expanding hiring across engineering, data, and AI innovation roles in the UK, US, Canada, Greece, China, and Peru, with notable openings for a Head of AI Innovation and Head of IT Services.
Python, Scala, C#, Azure, AWS, GCP, Snowflake, Spark, Airflow, dbt, Palantir, Kubernetes, Docker, Terraform, and Databricks. Currently adopting Copilot Studio.
Greenfield LLM deployments, Terraform IaC scaling, Copilot Studio expansion, technology stack design, applied AI solutions for private equity, and production automation systems for clients.
Saragossa'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.