Working Student IT/ Computer Science - Software Developer - Knowledge Graph Technologies


Your Role

As a Software Development working student, you will be part of our specialized and small development team. Together with the team, you will be involved in planning the next sprint and discussing proposed solutions to problems involving data management, performance, user experience, algorithms, and user interfaces. You will solve the problems assigned to you by delivering high-quality code that will be part of our product and used by our customers worldwide. You will help answer questions from our support and sales teams to guarantee the best customer experience possible.

Your Competencies

  • Good Java programming skills
  • Independent and solution-oriented work approach
  • Knowledge of RDF and SPARQL is a strong advantage
  • You are studying a technical subject at the university or at a university of applied sciences, or you have a comparable qualification

Our Offer

  • Paid working student position: on average 1-2 days/week, maybe more during uni breaks and less during exam periods
  • Good prospects of turning your working student position into a full-time job
  • Opportunity to learn from a highly motivated team with many years of experience in software development and semantic technologies
  • Opportunity to take on dedicated product responsibilities
  • An exciting, positive and dynamic work environment & a young and highly motivated international team with flat hierarchies and startup spirit
  • Opportunity to bring in your own ideas and make personal progress while actively advancing our products and offerings
  • Close collaboration with a designated mentor from our team
  • Free beverages, coffee, and tea in the office
  • Flexible working hours
  • With us, no day is like the next :)

Interested? We are looking forward to your application via Campusjäger!

How to apply

  1. Please send us your full application through the Campusjäger platform. (If you have problems with the language, please use the translation function of Chrome.) Since we receive many applications, we will only be able to process your application once your profile has been 100% completed. If you have any work samples, please feel free to upload them as well.
  2. Please keep an eye on your mailbox & your Campusjäger account! If you have any questions just contact the Campusjäger team.

Jobdetails

69190 Walldorf

Werkstudententätigkeit

Ab sofort

Verhandelbar

10 bis 20 Stunden pro Woche

Das Unternehmen wird direkt nach deiner Bewerbung sichtbar für dich.

Über das Unternehmen

Startup
IT-Branche
1-24 Mitarbeiter

We are a Germany-based company offering products, solutions and services for describing, interchanging and querying graph data, as well as a user-oriented open platform for visualizing and interacting with knowledge graphs. Our team offers an unmatched experience and know-how around enterprise knowledge graphs for our clients in areas such as business, finance, life science, and cultural heritage. Customers use our end-to-end platform to create and utilize enterprise knowledge graphs - from semantic graph data management to data-driven application development. Built entirely on open standards and technologies, our platform covers the entire lifecycle of dealing with knowledge graphs. As a main benefit our platform enables knowledge workers to create and gain meaningful insight into their data with one comprehensive software solution.


Tags

Kultur
Agil
Flache Hierarchien
Internationale Kollegen
Projektverantwortung
Startupcharakter
Vorteile
Laptop
Anbindung
Eigene Parkplätze
Öffentlicher Nahverkehr
Tools
iOS
Windows
Arbeitsumgebung
Großraumbüro
Home Office
Rückzugsräume
Erholung
Team-Events
Arbeitszeit
Flexible Arbeitszeiten
Freie Wochenenden
Verpflegung
Gemeinsames Essen
Kaffee & Tee
Kaltgetränke

Anforderungen

Sprachkenntnisse

Englisch  must-have
Deutsch

Themengebiete

Data Science
Datenbanken
Softwareentwicklung  must-have
Systemadministration
Testing
Webentwicklung (Frontend)

Kenntnisse und Fähigkeiten

HTML
CSS
Java
SPARQL
RDF
JavaScript

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