Role Overview
Independently manage the entire data process, from identifying and sourcing relevant data to data engineering and analysis, and deliver ready-to-use results to internal and external customers.
What You Will Do
Support and guide engineers in designing, developing and operating scalable data pipelines, data models and data products on Microsoft Azure and Databricks, while ensuring high data quality and comprehensive documentation.
Why It Might Be a Fit
Translate business requirements into technical solutions such as code, architectures and data pipelines, and communicate technical concepts, constraints and results to non-technical stakeholders in a clear and actionable way.
Requirements
- Degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics or a comparable field
- Extensive experience as a Data Scientist, Data Engineer or Data Analyst
- Extensive knowledge of Python and SQL, Microsoft Azure and Databricks, particularly Spark and Delta Lake
- Comprehensive experience in processing and analyzing structured, semi-structured and unstructured data
- Applied knowledge of AI/ML, ideally complemented by experience with NLP, generative AI and deploying AI/ML models into production
Benefits
- Flexible working hours & mobile working
- 30 vacation days and various special payments
- Further training opportunities
- Corporate benefits and bicycle leasing
- Subsidy for private pension plan and company health management
- Various childcare options
- Health, sports, cultural and leisure activities
To apply for this job please visit career.karlstorz.com.
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