Data Engineer (F/M/D)
freudenberg
Job Description
Responsibilities
- Data Management
- Implement ETL processes for structured data with T-SQL
- Develop, operate, and maintain robust data pipelines using Microsoft Fabric components: Data Factory, Warehouse, T-SQL
- Write and optimize T-SQL queries, stored procedures, and data models
- Interface Integration: Design and maintain seamless data interfaces to ensure consistent and accurate data flow between source systems and the data platform.
- Data Providing: Manage the provisioning of clean, validated data sets to downstream consumers, ensuring timely and efficient data delivery.
- Collaborate with BI developers, analysts, and data scientists to deliver reliable data products
- Monitoring & Operation
- Ensure the stability, performance, and availability of data platforms in production
- Troubleshoot data pipeline and ETL failures and perform root cause analysis
- Monitor job executions, implement alerting, and ensure incident resolution
- Automate routine operations and improve observability (e.g. logging, metrics, dashboards)
Qualifications
- Qualifications:
- Education:Degree in Information Technology, Computer Science, or a related field.
- Technical Skills:Expertise in T-SQL for complex query development, optimization, and troubleshooting.
- Practical experience with Microsoft Fabric (OneLake, Synapse, Data Factory) for data pipeline development and operations.
- Basic scripting skills in Python and PowerShell for automation
- Knowledge of DevOps methodologies and monitoring
- Experience:
- A profile with 5+ years of experience in Data Management / Data Engineering
- Proven track record of developing and deploying ETL pipelines, Data Warehouse solution or other data platforms
- Soft Skills:
- Strong analytical and problem-solving skills.
- Excellent communication and interpersonal skills.
- Ability to work independently and as part of a team.
- Work with teams across departments
- Strong attention to detail and commitment to quality.