Data Engineer

• Work closely with customers, consulting colleagues, and your own team
• Analyze and systematically resolve customer tickets, incidents, and service requests in accordance with ITIL
• Support customer systems based on Microsoft Fabric, Datavault Builder, Snowflake, Databricks, and dbt
• Operate and further develop solutions using Microsoft Fabric and Databricks, including Lakehouse, Warehouse, Pipelines, Dataflows, and Notebooks
• Operate and further develop solutions using Airflow and NiFi
• Analyze root causes and resolve issues in data pipelines, data loading processes, and data models
• Monitor and optimize ETL/ELT processes, data pipelines, and loading jobs with regard to performance, stability, and data quality
• Coordinate changes, releases, deployments, and maintenance windows during ongoing operations
• Document solutions, workarounds, technical changes, and operational processes

Explore Data Engineer – Operations at b.telligent. Review requirements and application details.