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Data Engineer

Elsbethen, Austria

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You are experienced in designing, building and running data pipelines meant to process large amounts of data? Join our Media Technology & IT team as Data Engineer!

In this position you'll join a team of dedicated Data Scientists and Software Developers working on a new audience analytics solution by Red Bull. You'll be responsible establishing a data pipeline which enables our Data Scientists to create and continuously improve statistical and machine learning models.


Areas that play to your strengths

All the responsibilities we'll trust you with:


In this exciting role as Data Engineer you´ll actively design and realise a new data pipeline for audience analytics use cases. You'll implement business requirements within a development team eager on becoming an expert in their area of work.


You´ll work in an agile team, which strongly believes in the culture of shared code ownership, pair programming and code reviews. While designing and implementing solutions, you´ll always be supported by your peers and vice versa. We believe in constant constructive feedback as crucial ingredient for personal development of skills.


Keeping up to date with new industry trends and standards is key for success and the future for our technology stack. In this exciting role, you'll have the possibility to screen the market for potential new solutions and patterns, which could bring business value and improve our services. Having evaluated solutions and patterns, you'll create POCs for showing the potential and usability within the team.


With the trend of an ever-increasing amounts of data, you'll continuously work on optimizing your data pipeline to maintain high performance data queries and public cloud costs as low as possible without sacrificing business success.


Your areas of knowledge and expertise

That matter most for this role:

  • At least 3 years practical experience
  • Ability to write efficient SQL statements (e.g. Google BigQuery)
  • Basic coding skills in Python or Java
  • Basic understanding in statistical techniques, including testing, regression, and classification
  • Understanding of CI/CD pipelines
  • Basic knowledge of container technologies and concepts, e.g. Docker
  • Strong communication skills and team player
  • Analytical and conceptual working style with high performance and result/solution orientation
  • High motivation and willing to constantly self-educate, learn new technologies and drive topics
  • Master's or bachelor's degree in Computer Science, Software Engineering, Mathematics, or some years of practical experience in this field
  • English fluent, German is a plus
  • Travel up to: 10%


Got what it takes?

In your application we want to see your personal style - what makes you tick and why you think your next opportunity is here with us.

Apply now

As an employer, we value diversity and support people in developing their potential and strengths, realizing their ideas and seizing opportunities. The job advertisement is aimed at all people equally, regardless of age, skin colour, religion, gender, sexual orientation or origin. Due to legal reasons we are obliged to disclose the minimum salary according to the collective agreement for this position, which is EUR 1.981 gross per month. However, our attractive compensation package is based on market-oriented salaries and is therefore significantly above the stated minimum salary.

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