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Roche Diagnostics in Rotkreuz (ZG), the global market leader in in-vitro diagnostics, is seeking a motivated professional with proven experience in data engineering and a strong track record in architecting and scaling large-scale data systems
As a Senior Data Engineer at Diagnostics Operations Rotkreuz, you will lead the development and optimization of a robust data infrastructure that drives our DOD operations and data products. In this strategic role, you’ll work closely with multidisciplinary teams - including data scientists, subject matter experts, and fellow data engineers - to design, transform, and enhance data assets that are foundational to our advanced modelling approaches. You’ll take a lead role in shaping and scaling data product standards across DIA Global Operations, ensuring alignment, quality, and impact at the organisational level. Beyond hands-on contributions, you’ll provide technical guidance to juniors and fellow data engineers alike, establishing best practices and fostering a culture of innovation.
* Lead Data Pipelines & Storage: Design and build scalable data pipelines for real-time and batch processing. Drive architectural decisions and long-term planning for scalable, FAIR data products.
* High-Quality Data Products: Create high-quality data products adhering to FAIR principles. Address complex challenges, ensure compliance, and make strategic decisions to shape data roadmaps.
* Collaboration & Integration: Model data landscapes, acquire data extracts, and define secure exchange methods in collaboration with experts and cross-functional teams.
* Data Ingestion & Processing: Ingest and process data from diverse sources into Big Data platforms (e.g., Snowflake). Develop ERDs and reusable pipelines for advanced analytics.
* Technical Guidance & Governance: Contribute to our Data Mesh Engineering Collective to establish data governance standards, ensure regulatory compliance and data security. Mentor others and promote best practices.
* Information Security & Infrastructure Collaboration: Ensure adherence to information security standards. Collaborate with infrastructure teams for tailored tech stacks. Make independent decisions on data strategies.
* Innovation & Knowledge Sharing: Shape the data engineering roadmap and set standards for data quality and governance. Proactively share best practices.
* Technical Proficiency: Maintain proficiency in data engineering tech stacks, data quality, and observability tools (e.g., Ataccama, Monte Carlo).
* Adherence to Standards: Ensure compliance with relevant guidelines and data governance standards. Develop long-term enterprise tools.
* Master’s degree in Computer Science, Data Engineering, or a related field
* 5+ years in data engineering with a track record in architecting and scaling large data systems
* 5+ years of experience in leading and mentoring data engineers
* Proven experience in building and managing data pipelines and products
* Skilled in handling structured, semi-structured, and unstructured data
* Proficiency in Python, Java, SQL, or Scala, and experience with big data technologies (e.g., Hadoop, Spark)
* Expertise in multiple cloud platforms (AWS, Azure, GCP) and data warehousing technologies (preferably Snowflake)
* Deep understanding of Information Security to ensure compliant handling and management of process data
* Familiarity with data modeling and ETL tools
* Knowledge of version control systems like Git and CI/CD pipelines
* Proficiency in implementing robust testing practices and monitoring pipelines for performance, reliability, and data quality
* Proven ability to communicate complex solutions to varied technical audiences.
* Strong organizational and interpersonal skills for delivering results and optimizing resources
* Ability to work independently and collaboratively within a team environment
* Strong ability to influence and collaborate with stakeholders, trust building and reliable delivery of solutions
Preferred Qualifications
* 3+ years of experience in the pharmaceutical or healthcare industry
* Experience with REST APIs and integrating data from various sources
* Knowledge of regulatory requirements (e.g., GMP, FDA) and Quality systems
* Experience with AI-driven data solutions and machine learning pipelines
* Experience with ML platforms (e.g., Dataiku)
* Knowledge of software engineering best practices (code reviews, testing, maintainability)
Your application
Please apply online. For further information about the position, please contact your Gi Consultant, Mr. Nazim Sagkol (B. Eng.), (+41 76 349 85 07) or Mrs. Anh Nguyen +41 76 586 02 13
Gi Life Science is part of Gi Group Holding, a global ecosystem of HR services and consulting that supports the development of the labour market and helps to change people's lives in 37 countries around the world. In Switzerland we operate with the brands Gi Life Sciences, Gi Group, Grafton and Bautech Personal. We are active in temporary, permanent and professional staffing as well as in a variety of complementary HR Services. With a direct presence in 40 locations across Switzerland and over 200 employees, we are one of the leading staffing companies in the Swiss recruitment market. Gi Life Sciences is specialist for Temporary and Permanent staffing in the Life Science sector, as well as a valuable partner for many other HR Solutions. We believe in experts talking to experts: all our professionals are certified in scientific sector, meaning that they are able to understand your needs and support you at 360°.
Seniority level
* Seniority level
Associate
Employment type
* Employment type
Full-time
Job function
* Job function
Information Technology
* Industries
Medical Equipment Manufacturing and Biotechnology Research
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