Hjem » Student Assistant, Data & AI Engineering

Student Assistant, Data & AI Engineering at Bestseller Textilhandels GmbH

Stilling Student Assistant, Data & AI Engineering
Opslået 09 Jul 2026
Udløbet 08 Aug 2026
Virksomhed Bestseller Textilhandels GmbH
Lokation Aarhus | DK
Jobtype Full Time

Jobbeskrivelse:

Seneste jobinformation fra Bestseller Textilhandels GmbH til stillingen som Student Assistant, Data & AI Engineering. If the Student Assistant, Data & AI Engineering ledige stilling i Aarhus matcher dine kvalifikationer, bedes du indsende din ansøgning eller dit CV direkte gennem den opdaterede Jobkos jobportal.

Bemærk venligst, at det ikke altid er nemt at søge job, da kandidater skal opfylde visse krav sat af virksomheden. Vi håber, at karrieremuligheden hos Bestseller Textilhandels GmbH til stillingen som Student Assistant, Data & AI Engineering nedenfor matcher dine kvalifikationer.

Join our innovative team at BESTSELLER as we leverage cutting-edge AI and data-driven solutions to transform the retail and e-commerce experience. We are looking for a curious and motivated Student Assistant who is eager to learn alongside experienced engineers and data scientists while contributing to real products throughout their studies.

This role places you at the heart of our Appretio platform and our commitment to revolutionising merchandising through data-driven solutions.

YOUR TEAM

You will be an integral part of a dynamic team within the Merchandising Solutions department, a group of more than 20 data and AI enthusiasts driving the merchandising agenda at BESTSELLER. Our focus is not only on delivering unmatched value to our end consumers but also on maintaining the highest standards of customer satisfaction and quality. You will join a product team of highly skilled professionals, all committed to harnessing the power of data to enhance customer experiences, streamline operations, and drive revenue growth.

YOUR NEW ROLE

As a Student Assistant, you will support the team in building and operating the data products and applications behind Appretio. You will work on clearly defined tasks alongside data engineers, application developers, and data scientists, gaining hands‑on experience with a modern, cloud‑based data and AI platform. You will be given real responsibility, combined with the mentorship and guidance needed to help you develop your skills along the way.

We expect you to work approximately 15–20 hours per week during the semester, with flexibility around exam periods.

Your typical responsibilities may include:

  • Supporting the development and maintenance of data pipelines and integrations
  • Helping build, test, and document features in our AI applications
  • Assisting with data quality checks, monitoring, and small automation tasks
  • Contributing to internal tooling and exploring new technologies with the team
YOUR BENEFITS
  • Join an expert, collaborative team committed to innovation and excellence
  • Gain hands‑on experience with production‑grade data platforms and AI applications
  • Benefit from dedicated mentorship and opportunities to develop your technical skills
  • Work flexibly around your studies in a supportive, learning‑oriented environment
YOUR PROFILE

You are a structured, curious, and proactive student who enjoys learning quickly and working alongside experienced colleagues. You enjoy exploring technical solutions, take pride in delivering high‑quality work, and are comfortable communicating with both technical and non‑technical stakeholders.

We imagine that you have:

  • Enrolment in a relevant degree programme, such as Computer Science, Data Science, Engineering, or a related field
  • Some programming experience, ideally in Python and/or SQL
  • An interest in data engineering, AI applications, and cloud technologies
  • A willingness to learn, take ownership of your tasks, and develop your skills
  • Strong communication skills in English

The following qualifications are considered an advantage:

  • Exposure to Git, CI/CD, or cloud environments (AWS or Azure)
  • Familiarity with data pipelines, web application frameworks, or modern data warehousing
  • An interest in agentic development workflows and tooling
  • Previous project, internship, or personal experience building software or working with data
Arbejdssted

Your primary workplace will be our office in Aarhus.

#J-18808-Ljbffr

Jobinfo:

  • Virksomhed: Bestseller Textilhandels GmbH
  • Stilling: Student Assistant, Data & AI Engineering
  • Arbejdssted: Aarhus
  • Land: DK

Sådan indsender du en ansøgning:

Efter at have læst og forstået kriterierne og minimumskravene til kvalifikationer forklaret i jobinformationen Student Assistant, Data & AI Engineering at the office Aarhus ovenfor, bedes du straks færdiggøre dine ansøgningsdokumenter såsom ansøgning, CV, kopi af eksamensbevis og andre bilag som forklaret. Indsend via linket 'Næste side' nedenfor.

Næste side »

Lignende ledige stillinger

  Job-aggregator 2026
Om os
Privatlivspolitik
Ansvarsfraskrivelse
Vilkår og betingelser
Kontakt os
Indsend XML Feed

© Jobkos

  Ved at besøge Jobkos' hjemmeside og bruge vores tjenester, accepterer du at være bundet af følgende vilkår og betingelser.
Oprettet af Jobkos | | | |