DataOps Engineer at Eeze focusing on data pipeline stability across multiple products. Collaborating with IT teams to maintain quality, observability, and operational efficiency.
About the role
- Data Engineer developing and enhancing data pipelines and models at ERNI Schweiz. Required skills include SQL and Python with opportunities for remote work in Europe.
Responsibilities
- Build and further develop data pipelines and data models on a modern analytics platform
- Integrate and process data from various source systems, including SAP-based applications
- Analyze business requirements and translate them into appropriate technical solutions and data structures
- Provide and prepare data for analyses, reports, and dashboards in collaboration with analysts and business units
Requirements
- Degree in Computer Science or Information Systems (ETH, University of Applied Sciences, university, or equivalent)
- Strong knowledge of SQL, Python, and databases (e.g., Snowflake)
- Experience in data engineering and working with data models
- Initial experience with SAP S/4 or processing SAP data is an advantage
- Experience with Git, CI/CD, or automated testing
- Team player with strong communication skills and a structured working approach
- Excellent German and English language skills
Benefits
- Individual development program that supports your professional and personal potential
- Remote work for up to 5 weeks per year outside Switzerland, within Europe
- Flexible working hours for an ideal work–life balance
- Memorable team and company events that strengthen team spirit
- Generous pension fund contribution—employer covers two-thirds of the pension contributions while you pay one-third
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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