(Senior) Data Engineer

A (Senior) Data Engineer role has become available at a Swiss firm leader in their field.

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines and ETL processes using Python, SQL, and Azure technologies such as Data Factory and Data Lake Storage.
• Collbaborate with cross-functional teams to gather and understand data requirements, and translate them into efficient and reliable data solutions.
• Develop and optimize data models and database schemas to support data analytics and reporting needs.
• Manage and monitor data infrastructure and ensure data availability, integrity, and security.
• Utilize DevOps practices to automate and streamline data engineering workflows and deployments.
• Work closely with data scientists and analysts to enable data-driven decision making, by providing them with clean, organized, and reliable data.
• Stay up-to-date with emerging technologies and industry trends related to data engineering, and evaluate their potential application in the organization.
• Provide technical guidance and mentorship to junior data engineers, and contribute to the continuous improvement of the data engineering team.

Profile:

• Degree in Computer Science, Information Systems, or a related field.
• Proven experience as a Data Engineer, with a strong background in Python programming and SQL.
• Extensive experience with Azure cloud services, including Data Factory, Data Lake Storage, and Synapse Analytics.
• Solid understanding of ETL principles and best practices, with hands-on experience in designing and implementing ETL processes.
• Proficiency in using Databricks for big data processing and analytics.
• Familiarity with MLflow for managing and tracking machine learning experiments and models.
• Strong understanding of database concepts, data modeling, and database design principles.
• Experience with DevOps practices and tools for CI/CD, such as Git, Jenkins, or Azure DevOps.
• Excellent problem-solving and analytical skills, with the ability to troubleshoot and resolve complex data engineering issues.
• Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams.
• Fluent German & English speaking skills.

Apply for the (Senior) Data Engineer position if you believe this is your next challenge.