4 Data Science & Engineering Trainee Jobs in Salzburg
Die Rolle
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SQL & Python: Deine wichtigsten Tools für die Arbeit mit Daten, den Aufbau von Transformationen und das Lösen täglicher Herausforderungen -
dbt: Du verstehst (oder möchtest lernen), wie man saubere, gut strukturierte Datenmodelle baut, denen andere vertrauen können -
Git: Du wendest Software-Engineering-Best Practices auf deine Datenarbeit an, sodass Änderungen transparent, verlässlich und kollaborativ sind -
Verständnis für FMCG: Du bist neugierig darauf, wie Daten in diesem Umfeld fließen und welche Insights für das Business relevant sind -
Erfahrung mit LLMs und KI: Du verstehst die Grundlagen moderner KI-Systeme und bist bereit, sowohl die Datenbasis für diese Systeme mit aufzubauen als auch ihren Einsatz im Unternehmen weiter auszubauen
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RESPONSIBILITIES
- Completed or ongoing studies in Computer Science, Data Engineering, Software Engineering, or a comparable IT-related education
- Fluent in English, German is a plus
- Experience with SQL
- Basic scripting knowledge (e.g., Python)
- Experience working with big data and a strong affinity for data are a plus
- Basic understanding of cloud environments (e.g., Amazon Web Services, Google Cloud Platform, Microsoft Azure) is a plus
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RESPONSIBILITIES
- Advanced undergraduate student, postgraduate student, or recent graduates (Bachelor’s / Master's degree) in Computer Science, Data Science, or a related field
- Fluent in English, German is a plus
- Familiarity with programming languages and scripting (e.g., Python)
- Basic understanding of cloud computing platforms (ideally AWS)
- Comfortable working with data having first experience with data visualization tools (e.g., Tableau, Looker)
- Knowledge of SQL to query databases and data products
- Strong interest in data-driven decision making
- Affinity for media and automation is a big plus
- Ability and courage to challenge the status quo as well as the willingness to investigate new solutions and technologies
- Self‑driven and communicative team player
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RESPONSIBILITIES
- Advanced undergraduate student, postgraduate student, or recent graduates (Bachelor’s / Master's degree) in Computer Science, Data Science, Engineering, or a related field
- Fluent in English, German is a plus
- Solid understanding of LLMs and Generative AI, enabling you to contribute to prompt design, evaluation, and structured testing of agentic AI systems
- Initial hands‑on experience with prompt engineering and prompting strategies
- Familiarity with evaluation methodologies, including traditional ML metrics or structured qualitative assessment frameworks
- Programming and scripting skills (e.g., Python) to support evaluation frameworks, example test set creation, and exploration of LLM‑as‑a‑Judge approaches
- Strong interest in cloud technologies, paired with a continuous learning mindset and curiosity for emerging tools and methods
- Willingness to challenge the status quo and explore new technologies, combined with analytical problem‑solving abilities
- Self‑driven, communicative team player with an affinity for media & technology and a user‑centric, research‑oriented mindset
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