Analytics Engineer - OpenData in Switzerland at Jobgether

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Analytics Engineer - OpenData in Switzerland.

In this role, you will help power high-quality healthcare and commercial data solutions used across the life sciences industry. You’ll work in a modern, remote-first environment focused on innovation, scalability, and data excellence, contributing to products that directly support analytics, compliance, and business performance. The position combines hands-on engineering with analytical problem-solving, offering exposure to large-scale data pipelines, cloud technologies, and advanced data transformation practices. You will collaborate with cross-functional teams to ensure reliable and accurate data delivery while continuously improving processes and platform performance. This is an excellent opportunity for a technically skilled data professional who enjoys building scalable solutions and working with cutting-edge technologies in a mission-driven environment.

• Develop, configure, and maintain scalable data crawlers and automated data collection workflows.
• Transform, clean, validate, and model large datasets using Python and SQL to support analytics and operational use cases.
• Integrate extracted data into centralized data platforms while ensuring high levels of quality, reliability, and freshness.
• Create ad-hoc reports, recurring dashboards, and visual reporting solutions to support business insights and customer success.
• Implement data observability, monitoring, and validation processes to improve platform stability and data accuracy.
• Collaborate closely with analytics, engineering, and product teams to deliver robust and efficient data solutions.
• Apply software engineering best practices including version control, code reviews, and scalable development methodologies.

Requirements:

• 4+ years of experience working with SQL in data analysis or analytics-focused roles.
• 4+ years of hands-on experience using Python for analytics engineering or data processing.
• Strong understanding of data structures, data modeling, and large-scale data transformation techniques.
• Experience building and maintaining scalable crawlers or automated data ingestion pipelines.
• Familiarity with software engineering best practices such as Git workflows and peer code reviews.
• Ability to work independently in a remote environment while collaborating effectively with distributed teams.
• Strong analytical thinking, attention to detail, and problem-solving capabilities.
• Experience with tools such as Redshift, dbt, Polars, Mozenda, or Zyte is considered an advantage.

Benefits:

• Flexible remote-first “Work Anywhere” environment.
• Competitive compensation package including Restricted Stock Units (RSUs).
• Family health insurance coverage and private pension contributions.
• Fitness reimbursement and wellness support programs.
• Annual charitable contribution allocations.
• Opportunities for career development within a fast-growing global technology environment.
• Inclusive, collaborative culture focused on employee success and innovation.