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Working Student Data Engineering (m/f/d)

Introduction Sentence

As a data engineer working student in the Strategy & AI Innovation department at Marketing & Creation, you will work with us to integrate AI agents and automation solutions into everyday marketing. You will help shape and implement innovative data solutions, from the initial idea to fully integrated pipelines. If you enjoy exploring new technologies, testing them hands-on and turning data into practical workflows, this is the place for you.

What you can expect in this role

  • Expect to support the development and maintenance of data pipelines for ingestion, transformation, and loading (ETL/ELT)
  • You'll be assisting in ingesting and processing large unstructured data from diverse sources (APIs, databases, flat files) into the data warehouse or data lake
  • Your role will involve developing and optimizing SQL and data pipeline processes to efficiently extract, transform, and analyze unstructured data for reporting and insights
  • You will gain familiarity with AI tools & agent logic with a focus on specific use cases in marketing
  • Plan to support the implementation of proof-of-concepts – from tool testing to Automation

Your essential experience and education

  • You are currently studying in (business) informatics, computer science, data science, or a similar field with a strong technological focus
  • Ideally, you'll have initial experience with data processing, ETL workflows, or cloud platforms (AWS, Azure, GCP)
  • We expect you to have a technical understanding and quick comprehension of data models, databases, and pipeline logic
  • It would be a plus if you have initial experience with Python, SQL, and tools such as Snowflake, Databricks, etc.
  • We're looking for someone who is collaborative and a team player (14–20 hours/week)

What's in it for you?

  • Enjoy an open corporate culture without a dress code in the dynamic environment of the media industry
  • Depending on the tasks you take on in your team, there is the possibility of working on a mobile basis in coordination with your manager
  • Work at modern equipped workplaces and use our wide range of campus services including a canteen with fair prices, different coffee bars or our massage service
  • We advance your AI skills through internal training and our vibrant AI community. For us AI is not a future topic, but already shapes our daily work as an integral part of the value chain – from content creation to distribution
  • Benefit from a highly discounted, Germany-wide membership at Urban Sports Club, a free Joyn Plus+ subscription as well as numerous other special discounts of our partners
  • We offer our interns and working students an extensive network so that you can meet new people outside of your field of expertise and gain insights into other areas at ProSiebenSat. 1. 

Working hours: usually 20h/week, can be flexibly distributed by arrangement

Duration: Depending on enrolment - minimum 6 months, maximum 2 years

Gross monthly salary for 20 hours/week: In the first 6 months 1.200€ & from the 7th month 1.300€

Closure

We are looking forward to your application!

Apply within 5 minutes via our job portal or use the video application option.

Your profile doesn't fit 100%? No worries, apply anyway! We support your professional & personal development on the job. 
 

You can find out more about our application process here.

Please note that we can not accept applications by mail due to data protection reasons.

ProSiebenSat.1 is more than television, much more. With a reach of 60 million TV households and 11 million people via our online channels, we are the leading German entertainment company and have a strong e-commerce and dating business. 

Company Text

Click here to learn more about the ProSiebenSat.1 Group located in Unterföhring near Munich and our diverse portfolio.

As a signatory of the Diversity Charter, ProSiebenSat.1 is committed to a working environment free of prejudice and actively promotes diversity and equal opportunities among employees.
 
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Although we refer to one gender in the text, all genders may be implied.

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