Data Engineer – Operations

• 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

• Professional experience in data engineering, data warehousing, business intelligence, or a comparable data-driven IT environment
• Experience operating data platforms and analytical systems
• Practical experience with Microsoft Fabric and Databricks
• Ability to reliably operate, analyze, and optimize Microsoft Fabric and Databricks solutions in production
• Experience with or knowledge of Snowflake, dbt, Airflow, and NiFi
• Knowledge of ITIL and incident and service request management
• Experience with ETL/ELT processes, data pipelines, loading jobs, and data models
• Knowledge of performance optimization, stability, and data quality
• Ability to communicate and coordinate technical topics clearly with customers and teams
• Very good German and English language skills
• Service-oriented mindset, reliability, and strong prioritization skills
• Ability to provide clear, traceable documentation of solutions, workarounds, technical changes, and operational processes

• Full-time position
• Remote work