Basic
Full-Stack Software/Data Engineer
Posted: 18.05.2026
Closing date: 02.07.2026
Job reference: 0f1804ceeb6347e20f93a85f33f89c0d
Job information
Location
Zürich, Zurich, Switzerland
Company
TN Switzerland
Client / Employer
NEXUS Personalized Health Technologies
Job reference
0f1804ceeb6347e20f93a85f33f89c0d
Listing type
Basic
EU work permit required
No
Posted
18.05.2026
Closing date
02.07.2026
Job description
Job description You are excited about using data to revolutionize personalized health technology? You have experience with full-stack software engineering? You have experience with the planning and implementation of IT systems? You can process structured and unstructured data and make it available for analysis? You have experience with implementing data-centric software solutions? You understand the security requirements when working with sensitive health data? Yes? We have an exciting challenge for you! Responsibilities: You independently plan, design and implement data-centric full-stack software solutions from database modeling to API structuring to user interface design and implementation, primarily using Postgres, Django REST Framework and Vue.js You develop data pipelines to extract, transform, store, and make data available and interoperable You manage and maintain your solutions on secure platforms with a high level of automation You manage your projects independently and collaborate with various stakeholders You collaborate with cross-functional project teams to understand data requirements and provide guidance on data structure, availability and usage Profile Essentials: Bachelor's or Master's degree in Computer Science, Data Science, or a related field Proven experience in designing and implementing data-centric full-stack software solutions Experience in developing web applications using frameworks such as Django REST Framework, Vue.js or similar Experience in working with Linux/Unix operating systems and writing scripts (e.g. bash, python) In-depth knowledge of container technologies such as Docker or similar Fluent in English, both verbal and written In addition to the essentials we are looking for: Proactive and self-motivated, with a passion for staying updated on emerging technologies and industry trends Strong problem-solving and analytical skills, with the ability to translate business needs into technical solutions Excellent communication and collaboration skills to work effectively with cross-functional teams Knowledge of German Workplace Workplace We offer Training opportunities Flexible working hours Possibility for part-time work and home office Motivated team aiming to work together Diverse tasks Support cutting edge research in health care chevron_right Working, teaching and research at ETH Zurich We value diversity In line with to find out how we ensure a fair and open environment that allows everyone to grow and flourish. Curious? So are we. Join our team and make a significant impact on the field of personalized healthcare by developing state-of-the-art applications that empower our users and drive medical advancements. Apply now and be part of our exciting journey towards revolutionizing healthcare through technology. We look forward to receiving your online application including: cover letter CV reference letters/work certificates Relevant certificates and diplomas Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered. For further information please contact David Meyer, (no applications) or visit our website. As a core facility, we do not offer PhD or Postdoc training positions. For recruitment services the GTC of ETH Zurich apply. About ETH Zürich
Skills
analyse pipeline database information
cloud technologies
Computer Science
create data models
create data sets
Data Analytics
Data Models
data storage
Data Warehouse
database management systems
design database in the cloud
develop data processing applications
digital data processing
establish data processes
implement data warehousing techniques
manage data
manage ICT data architecture
manage quantitative data
manage research data
perform dimensionality reduction
process data
SAS Data Management
Statistics
store digital data and systems
Teradata Database
Unstructured Data
use data processing techniques
use databases