[…] is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries.
The product brings together data about employees, devices, applications, and IT operations to help organizations understand and improve the digital workplace experience. It combines information from multiple systems into a consolidated view, enabling IT teams to identify issues, analyze trends, and take action.
Its underlying platform ingests continuously changing data, normalizes it, and maintains relationships between employees, departments, devices, and organizational structures. Role-based access controls govern how that information is used. The engineering challenge is to make high-volume data flows reliable and efficient while providing low-latency access to current information.
As a Senior Data Engineer, you will build the streaming pipelines and distributed services that support this platform. This is a hands-on role centered on Java, Kafka, and Apache Flink. You will work from product requirements and architectural direction while owning complex implementation decisions, identifying risks early, and delivering production-ready components with minimal supervision.
You will join a small team developing the product and work with architecture, product, and DevOps colleagues. Early work includes understanding existing schemas an