Senior Data Engineer (Databricks)

Nasze wymagania: Experience with SQL Server and PostgreSQL/TimescaleDB, including time-series schema design. Familiarity with Kubernetes and deployment of data-related services. Terraform for infrastructure as code. Azure DevOps: CI/CD pipelines, repositories, and release management. Experience with on-prem ETL tools (Node-RED, Apache NiFi). Knowledge of modern cloud ETL frameworks, especially Databricks. Ability to design efficient data models at an architectural level. Capability to perform data analysis, extract insights and collaborate on business-oriented analytical structures. Technical knowledge of Azure IoT Hub: ingestion, device management, telemetry, scalability. Mile widziane: Experience with analytics and visualization tools (R, Python, Grafana…). Background in industrial digital platforms or smart factory environments. Experience working with software product teams in agile environments (Scrum). Zakres obowiązków: Design, implement, and maintain data solutions within the product platform. Define and optimize data models for analytical, operational, and predictive use cases. Participate in data architecture and technical infrastructure decisions. Ensure quality, robustness, and maintainability through good CI/CD and automation practices. Collaborate with product owners, developers, and stakeholders to translate business needs into technical solutions.