Responsibilities:

• Utilizing Azure data services to design and implement scalable data architectures
• Setting up and maintaining Azure Data Lakes, Azure SQL databases, and Azure Synapse Analytics
• Developing ETL (Extract, Transform, Load) processes using Azure Data Factory
• Utilizing Azure Stream Analytics for real-time data processing
• Using Azure Machine Learning to create and deploy predictive models
• Ensuring data compliance and security, as well as implementation and maintenance
• Close collaboration with IT and manufacturing teams

Requirements:

• Bachelor's degree in Computer Science, Engineering, Data Science, or a related field
• Several years of experience with Microsoft Azure data services (e.g., Azure Data Factory or Azure Databricks)
• Experience in data engineering focusing on data integration, data storage, and ETL processes
• Experience in using Azure Machine Learning to create and deploy models
• Azure certifications (such as Azure Data Engineer Associate) are advantageous
• Excellent English language skills

Benefits:

Wir wertschätzen Vielfalt und begrüssen daher alle Bewerbungen - unabhängig von Geschlecht, sozialer Herkunft, Religion, Alter und Identität. Zur leichteren Lesbarkeit und besseren Verständlichkeit verwenden wir nur eine Gender-Form. Selbstverständlich sind im jeweiligen Kontext alle Genderformen gleichermassen gemeint.

Kontakt
Maxim Kreker

Arbeitsort
Zürich

Pensum
100%

Position
Mitarbeiter

Branche
IT