We are looking for Data Engineers at various seniority levels - from Regular to Technical Lead. We work on multiple data‑focused projects: from building and maintaining modern data & analytics platforms, through IoT integrations and stream processing, to designing data architectures and developing cloud‑based solutions. We are looking for people who want to work with data seriously: in scalable, production environments, with a strong focus on quality, automation, and long‑term development.
By applying, you are not choosing one specific project. We will get back to you with a role proposal tailored to your experience, ambitions, and technology preferences.
Technologies across our projects:
Data processing & integration: Spark, Databricks, Azure Data Factory (ADF), Azure PaaS, Snowflake, Microsoft Fabric, Informatica, Apache NiFi, Node‑RED
Languages & programming: SQL (SQL Server, PostgreSQL, TimescaleDB, DB2), Python
Cloud & infrastructure: Azure, Google Cloud, Kubernetes, Terraform, Azure DevOps, Azure Pipelines, Control‑M
IoT & integrations: Azure IoT Hub, MQTT, OPC UA
BI & visualization: Power BI, SAP Business Objects
Other: Git, ServiceNow, JSON, XML