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Lausanne, CH
Actively hiring, first seen by us todayStrategic Research Operations Location: Lausanne, Switzerland Work model: Hybrid / Full time 100% Contract type / duration: Permanent Shape the future through scientific breakthroughs and innovation.Read the full posting
What will make you successful - Bachelor's or Master's degree in a scientific or computational discipline (e.g., Chemistry, life sciences, Bioinformatics, Cheminformatics, Data Engineering, Computer Science), or equivalent experience. - Solid experience in applying data engineering to scientific, laboratory data
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
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Day 0
Early. Similar jobs usually come down between day 5 and day 54.
From 12,166 similar postings that came down. Coming down is not always a hire.
44 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Solid grasp of the lab solutions ecosystem: ELN, CDS, LES, multi-omics pipelines, IoT-connected equipment, barcode systems, etc. - Programming (e.g., Python, R, Java, Groovy). - Data engineering and modeling — ETL/ELT (Airflow, dbt), APIs, orchestration, SQL/NoSQL — with engineering rigor (Git, CI/CD, testing, data quality, observability, reproducibility).
- Programming (e.g., Python, R, Java, Groovy). - Data engineering and modeling — ETL/ELT (Airflow, dbt), APIs, orchestration, SQL/NoSQL — with engineering rigor (Git, CI/CD, testing, data quality, observability, reproducibility). - Nice-to-have technical skills
- Domain exposure in chemistry, biology, food, or omics - Reporting tools (e.g., DASH, Streamlit, Power BI) is an advantage - Leveraging Agentic AI to automate data engineering activities
- LIMS customization, data models, and integration. - Integrating lab instruments, applications, robots, and IoT with reference databases and data warehouses (e.g., Snowflake). - Solid grasp of the lab solutions ecosystem: ELN, CDS, LES, multi-omics pipelines, IoT-connected equipment, barcode systems, etc.
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New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Strategic Research Operations
Location: Lausanne, Switzerland
Work model: Hybrid / Full time 100%
Contract type / duration: Permanent
Shape the future through scientific breakthroughs and innovation.
As a Lab Data Technology Specialist at Nestlé Research within our Computational Sciences department, you will be responsible for reinforcing our laboratory data foundations to help unlock the full value of the data generated by our scientific instruments and laboratory systems. Sitting at the intersection of science, laboratory data, and modern data engineering, you will leverage latest data technologies and AI for coding tools to transform raw, heterogeneous scientific data into trusted, well-documented, and reusable data assets that accelerate impactful scientific research.
How you’ll make an impact as a Lab Data Technology Specialist
What will make you successful
At Nestlé Research, we place people at the core of everything we do.
Our benefits are designed to support your growth and wellbeing, so you can thrive at work and in life:
What to expect from our hiring process
We are committed to an inclusive and respectful hiring experience and are happy to provide reasonable accommodations if needed. Our workplaces are fully accessible and supported by a strong safety culture, with modern installations and procedures to ensure a safe environment for everyone.
The hiring process typically includes a video interview with Talent Acquisition, an interview with the hiring team, and a final discussion and offer. We review applications as they are received and close the role once a strong list of relevant candidates is identified, so we encourage you to apply early. All information is treated confidentially.
Stay vigilant: Nestlé will only contact candidates via official company email addresses and will never ask for payments or sensitive personal information at any stage of the hiring process.
Ready to #BreakthroughTogether?
Apply now and shape the future through scientific breakthroughs and innovation.
#nestlecareerswitzerland
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Lausanne, CH
Strategic Research Operations Location: Lausanne, Switzerland Work model: Hybrid / Full time 100% Contract type / duration: Permanent Shape the future through scientific breakthroughs and innovation.
Our benefits are designed to support your growth and wellbeing, so you can thrive at work and in life: - Flexible working options, including hybrid work possibilities (for office based roles) - Paid holidays beyond legal requirements
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