FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Data Engineer – Operations
b.telligent. Work closely with customers, consulting colleagues, and your own team .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data engineering and data warehousing, with a strong focus on optimizing Microsoft Fabric and Databricks solutions. Proficient in managing ETL/ELT processes and ensuring data quality while effectively communicating technical topics to customers and teams.
Highest-signal resume keywords
Data EngineeringMicrosoft FabricDatabricksETL/ELT ProcessesITIL Knowledge
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data WarehousingData Pipeline OptimizationData Model AnalysisPerformance OptimizationIncident Management
Soft Skills
Service-Oriented MindsetStrong Prioritization SkillsClear Communication
Tools & Technologies
SnowflakeDbtAirflowNiFi
Industry Keywords
Data-Driven IT EnvironmentBusiness IntelligenceOperational Processes
Tech Stack
Tools & technologiesAirflowETL
About the role
Key responsibilities & impact- 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
Requirements
What you’ll need- 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
Benefits
Comp & perks- Full-time position
- Remote work