AI-powered analytics platform for omnichannel customer insight and real-time data
Dataroid operates a real-time analytics platform built on Apache Spark, Flink, Kafka, and ClickHouse—a stack optimized for high-throughput streaming and low-latency analytics. The company is tackling scaling challenges around real-time ingest and platform reliability while building out unified customer profiles and real-time analytics APIs. With 11 open roles weighted toward senior engineers and product roles, Dataroid is in active hiring mode despite decelerating velocity, suggesting traction in onboarding but resource constraints in execution.
Dataroid is a Turkish analytics platform vendor serving enterprise customers who need deep customer insight across omnichannel touchpoints. The platform combines streaming data ingestion, data science modeling, and marketing activation in a single system. Active work spans large-scale resilient pipelines, unified customer profile unification, real-time APIs, and SDK integrations. The company operates a distributed stack across AWS, GCP, and Azure with containerization via Docker and Kubernetes, indicating infrastructure maturity for multi-tenant or high-availability deployments.
Apache Spark, Flink, Kafka, Kafka Streams, Druid, ClickHouse, Python, Java, Spring Framework, PostgreSQL, Elasticsearch, Redis, Hazelcast, Docker, Kubernetes, AWS, GCP, Azure, Prometheus, Grafana.
Large-scale real-time data pipelines, unified customer profiles, real-time analytics APIs, SDK integrations, product prioritization, and partnership expansion strategy.
Sariyer, Istanbul, Turkey. Currently hiring only in Turkey.
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