Job
- Level
- Experienced
- Job Field
- Data, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 59.934 € Gross/Year
- Location
- Vienna
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop backend solutions for GIS applications and data spaces, implement innovative data-sharing solutions, and design knowledge graphs to support sustainable decision-making.
Job Technologies
Your role in the team
- You will design, implement, and maintain backend solutions for GIS-based applications and data space architectures, creating added value for our partners in building a more sustainable and resilient society.
- In coordination with experts and end-users, you will develop secure, interoperable data-sharing solutions for communities, enabling better decision-making in the context of climate change and long-term societal resilience.
- You will bring your experience in developing complex distributed software systems to conceive and implement innovative solutions, leveraging your proficiency in Python, Angular or React, or building and deploying scalable services.
- You’ll play a key role in designing and implementing knowledge graph storage, querying, and reasoning systems using technologies such as RDF, SPARQL, OWL, GraphDB or similar.
- You will integrate solutions with data spaces aligned to Gaia-X, IDSA, or similar standards, ensuring secure, interoperable, and trusted data exchange between stakeholders.
- You support ongoing communication with stakeholders.
- Your innovative solutions and methods, tailored to user requirements and distinguished by technological and scientific excellence, are proven in practice and successfully used in demonstrations.
- You continuously expand your network within the national and international community and actively share your knowledge internally with colleagues and students.
- You publish your results in journals and present them at events and scientific conferences.
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Our expectations of you
Education
- Completed university degree (BSc or MSc), preferably in computer science, data science, computer engineering or similar.
Qualifications
- Strong proficiency in Python, Angular/React, and Java for application development and deployment.
- Solid knowledge of relational (e.g., MySQL) and NoSQL databases (e.g., MongoDB) for efficient and flexible data management.
- Well-developed expertise in knowledge graph technologies (e.g., RDF, SPARQL, OWL, GraphDB (Neo4j)) and semantic web standards.
- Basic understanding of Machine Learning and AI concepts, such as NLP, LLMs, and vector databases.
- Ability to work in a team, flexibility, and commitment.
- Very good knowledge of written and spoken German and English.
Experience
- Experience with backend frameworks such as Spring Boot, Django, FastAPI, or Node.js.
- Experience with geoinformation systems such as ArcGIS, QGIS.
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Benefits
Health, Fitness & Fun
- 👨🏻🎓Mentor Program
- 🧠Mental Health Care
- 🚲Bicycle Parking Space
- ♿️No Physical Barriers
- 👩⚕️Company Doctor
- 🎳Team Events
Work-Life-Integration
- 🙅♂️No All-In Contracts
- 🏝Extra Holidays
- 🏠Home Office
- ⏰Flexible Working Hours
- 🚌Excellent Traffic Connections
Food & Drink
More net
Job Locations
Location Vienna
Giefinggasse 4
1210 Wien
Austria
Topics that you deal with on the job
This is your employer
AIT Austrian Institute of Technology GmbH
Wien, Klagenfurt, Graz, Hall In Tirol, Dornbirn, Seibersdorf, Steyr-Gleink, Wien, Braunau Am Inn - Ranshofen, Wien, Tulln
The AIT Austrian Institute of Technology is Austria's largest research institute and is considered a specialist in central infrastructure issues for the future, Europe-wide.
Description
- Company Size
- 250+ Employees
- Founding year
- 2007
- Language
- German, English
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Science, Research
Dev Reviews
by devworkplaces.com
Total
(2 Reviews)3.8
Engineering
4.0Culture
4.2Career Growth
3.6Workingconditions
3.7
Software Engineer – GIS & Data Spaces
- Salary
- from 59.934 € Gross/Year
- Location
- Vienna
- Working Model
- Hybrid, Onsite