Data Engineer

Job description:

Senior Data Engineer

Location: Rotkreuz, Switzerland

Start Date: ASAP (latest: September 1, 2025)

Contract Duration: Until August 31,(extension likely)

Workload: 100%

About the Role:

Are you passionate about data engineering and ready to shape scalable data ecosystems that drive impactful business decisions? We're looking for a Senior Data Engineer to join our Diagnostics Operations team. In this key position, you'll lead the development of cutting-edge data infrastructure, collaborating with data scientists, domain experts, and engineers to deliver high-quality data products and pipelines.

This is a strategic role where you'll influence data architecture, standards, and governance across global operations-while mentoring peers and fostering a culture of innovation.

Your Responsibilities:

• Architect & Build Scalable Systems:
• Lead the design and implementation of scalable real-time and batch data pipelines using best-in-class technologies.
• Deliver High-Quality Data Products:
• Develop robust, FAIR-compliant data products that meet business and compliance needs.
• Cross-Functional Collaboration:
• Work closely with stakeholders to model data landscapes and define secure, efficient data exchange methods.
• Data Ingestion & Processing:
• Transform diverse data sources into actionable formats using platforms such as Snowflake. Create reusable, analytics-ready pipelines.
• Lead Governance & Mentorship:
• Drive standards within a Data Mesh framework, contribute to data governance policies, and provide guidance to other engineers.
• Infrastructure & Security:
• Ensure solutions are aligned with information security standards and collaborate with infrastructure teams to shape optimal tech stacks.
• Drive Innovation:
• Shape the engineering roadmap, promote knowledge sharing, and elevate engineering practices.
• Maintain Technical Excellence:
• Stay current with data tech stacks and tools like Ataccama or Monte Carlo for observability and data quality.

Must-Have Qualifications:

• Master's degree in Computer Science, Data Engineering, or related field.
• 5+ years of experience in data engineering, including leading and mentoring teams.
• Proven success in architecting and scaling large data systems and pipelines.
• Proficiency in Python, Java, SQL, or Scala.
• Experience with big data tools (e.g., Spark, Hadoop) and modern data warehouses (preferably Snowflake).
• Solid knowledge of structured, semi-structured, and unstructured data.
• Expertise with cloud platforms such as AWS, Azure, or GCP.
• Strong understanding of data modeling, ETL processes, and CI/CD pipelines.
• Familiar with Git and robust testing/monitoring practices.
• Effective communicator with both technical and non-technical audiences.
• Strong team collaboration and stakeholder engagement skills.

Preferred Qualifications:

• 3+ years in the pharmaceutical or healthcare sector.
• Experience with REST APIs and data integrations.
• Familiarity with regulatory frameworks (e.g., GMP, FDA) and quality systems.
• Knowledge of machine learning workflows and platforms like Dataiku.
• Exposure to AI-driven data products and software engineering best practices.

Why Apply?

• Join a highly collaborative, forward-thinking team.
• Make a measurable impact in global diagnostics operations.
• Work on strategic, enterprise-level data initiatives.
• Opportunity to extend contract beyond initial term.

If you're a data engineering leader ready to design and scale transformative data products, we want to hear from you.

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