Data Engineering Trainee (f/m/div)
entry
EngineeringData Engineering
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Quick Summary
Key Responsibilities
Help develop, test, and maintain data ingestion and transformation pipelines; Learn how we monitor runs, investigate issues, and release changes Contribute to data quality : Write and run data checks,
Requirements Summary
Degree in Computer Science, Data Engineering, Information Systems, Engineering, or a related field Technical skills : You have a basic understanding of SQL and some experience with Python,
Technical Tools
EngineeringData Engineering
#WeAreIn to create tiny chips and big careers. Are you ready to take the first step in your career? Let's shape the future together! Whether you join as a student, intern, or trainee, you'll be part of something real - real projects, real impact, and real opportunities to grow. Are you in? Your role Key responsibilities in your new role In this 12-month professional internship, you will be part of our Data Products & AI team, working on data solutions for the Sales, Marketing & Distribution area. Support data pipelines : Help develop, test, and maintain data ingestion and transformation pipelines; Learn how we monitor runs, investigate issues, and release changes Contribute to data quality : Write and run data checks, investigate unexpected results, and support validation and Write-Audit-Publish processes Help build internal data-collection tools : Contribute to simple forms, input tools, or dashboards that allow business users to provide data for our data products Document data products : Keep descriptions of datasets, transformations, business definitions, and data lineage clear and up to date Collaborate and learn : Work with engineers, analysts, business stakeholders, and IT teams to understand requirements and turn them into practical data solutions Your profile Qualifications and skills to help you succeed Education : Degree in Computer Science, Data Engineering, Information Systems, Engineering, or a related field Technical skills : You have a basic understanding of SQL and some experience with Python, gained through coursework, personal projects, or internships Data Engineering : You are interested in data pipelines, data modelling, and how data quality is maintained in practice Working style : You communicate clearly and are comfortable working with people from different teams. You enjoy solving problems, asking questions, and learning from feedback Nice to have : Exposure to PySpark, orchestration tools, dimensional modelling, or web development (not required) Languages : Good command of English Please send us your CV in English so we can get to know you better. #WeAreIn for driving decarbonization and digitalization. As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener. Are you in? We are on a journey to create the best Infineon for everyone. We strive to create the best Infineon for everyone by embracing diversity and inclusion. We welcome applicants for who they are and offer a workplace built on trust, openness, respect and equal opportunity. Our hiring decisions are based on skills and experience. Even if you don’t meet every requirement, we encourage you to apply. Please let your recruiter know if you need any accommodations during the interview process. Learn more about our various contact channels and about Diversity & Inclusion at Infineon.
Location & Eligibility
Where is the job
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Location terms not specified
Listing Details
- Posted
- October 14, 2026
- First seen
- October 14, 2026
- Last seen
- October 14, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 56%
- Scored at
- October 14, 2026
Signal breakdown
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External application
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