Xomnia is a data and AI consulting firm built around cloud infrastructure (AWS, Azure, GCP) and modern data-stack tooling (Kafka, Snowflake, Databricks, dbt, Airflow). The hiring mix — six data roles, one engineering, weighted toward senior and mid-level — reflects a services-driven model focused on delivery rather than product. Active projects span real-time platforms, ML model deployment, grid optimization, and fraud detection, with documented pain points around scaling reliable data workflows and clarifying AI strategy for clients.
Xomnia delivers data architecture and AI implementation services to mid-market and enterprise organizations across sectors including utilities, healthcare, and supply chain. Founded in 2013 and based in Amsterdam, the firm works across three core areas: designing and building cloud-native data platforms, deploying machine-learning models at scale, and advising on data and AI strategy. The technical foundation runs on public cloud (AWS, Azure, GCP), containerization (Kubernetes, Docker), and modern data tools (Snowflake, Kafka, Databricks, Apache Airflow). Projects range from real-time fraud detection and electricity grid optimization to supporting cancer research and climate initiatives.
AWS, Azure, GCP, Kubernetes, Terraform, Kafka, Databricks, Snowflake, Airflow, Python, Scala, Java, Spark, MLflow, dbt, and SQL. Stack reflects emphasis on cloud platforms and modern data engineering.
Amsterdam, Netherlands. The company was founded in 2013 and currently employs 51–200 people, with active hiring in the Netherlands only.
Real-time data platforms, ML model deployment at scale, cloud infrastructure, fraud detection, grid optimization, cancer research acceleration, supply-chain optimization, and climate research enablement.
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