Siemens

Part-time Data Engineer for Marketing Analytics (suitable for students)

Prague, Czech Republic
Java Machine Learning SQL Python
Description
Part-time Data Engineer for Marketing Analytics (suitable for students)

What will you do:

  • You support us in the implementation of data engineering and data science projects with focus on marketing and sales data.
  • You help us to discover and implement optimization and automation potentials in data processes.
  • You perform data analysis and can prepare the results in an appealing and understandable way in the form of tables, graphs, or presentations.

Our expectations:

  • You are studying at a university in the field of informatics, data science or another field with similar qualifications.
  • Willingness to familiarize yourself with new topics and, after initial training, to drive them forward independently - with support and in close coordination with managers and other colleagues our team.
  • As our team operates on a global scale, fluent English is a must.
  • Good knowledge of programming and database languages such as SQL, Python and Java
  • Curiosity for innovation to find optimal solutions also by evaluating and applying Machine Learning and NLP approaches techniques.
  • Experience in the business intelligence environment (Tableau, Power BI), ETL solutions (Pentaho), and low-code enterprise app development (Mendix) would be beneficial.
  • You are proficient in MS Office, especially Excel and PowerPoint.
  • You can support us 15-20 h / week.

If you see this job description and think, "This would really interest me," but your experience doesn't perfectly match the qualifications - don't let that stop you. We're always interested in hiring talented, passionate, and fast learning candidates - so give it a try and apply.

Siemens is a huge company, and there are lots of development opportunities. Skilled, capable people are needed everywhere, so you'd be able to actively drive your career in various directions.

Siemens is an equal opportunity employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability or gender identity.
We are committed to forming a team that represents a variety of backgrounds, perspectives, and skills. This is how we work best. Problem solvers and entrepreneurs are highly welcome.
Make your mark in our exciting world at Siemens and learn more: www.siemens.com

Siemens
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