Arvato Supply Chain Solutions | Germany | 33333 Gütersloh | Permanent position | Full time | Published since: 10.05.2025 on arbeitsagentur.de
Data Engineer (m/w/x)
We're on it! Arvato offers you one of the most dynamic working environments you can imagine. We grow, we are innovative, we solve the challenges of our customers all over the world every day. How do we do that? With our global team from 17,000 colleagues: Inside 87 locations in over 17 countries and our special spirit: We're on it! As a strategic growth partner of our customers, we rely on cloud-based e-commerce and IT platforms as well as state-of-the-art automation technology to realize complex global supply chain solutions. The Data Analytics team stands for innovation and the digital transformation of Arvato. For our top international customers, we design, develop and operate IT solutions that increase the added value of our supply chain solutions - be it smart add-ons or integrated overall solutions from IT and logistics. We work and think agile, are visionary and forward-looking. In the Team Data Engineering we are looking for support and look forward to becoming part of the team as Data Engineer (m/w/x) at our site in Gütersloh. Are you on it?
Identification of customer requirements and cooperation with internal teams to design data-driven products
Design, implementation, optimization and maintenance of ETL processes (Azure Databricks)
Metadata-driven integration of different data sources (e.g. SAP HANA or relational databases) into the company-wide data model (Azure Data Lake)
Implementation of Datamarts and Power BI Semantic Models (SQL, Microsoft Power BI, Git, Azure DevOps)
Identification and elimination of data quality problems
Implementation of technical security measures to protect data
Successfully completed studies of (economic) informatics or comparable relevant qualifications
At least two years of professional experience in the field of database modeling for business intelligence systems
Found SQL identifiers in the creation or Optimizing queries and handling Microsoft Power BI or alternative BI tools
Experience in cloud environments and ETL processes (Azure Databricks)
High motivation and willingness to learn new things as well as analytical thinking and a structured way of working
Very good knowledge of German and English
Corporate culture: We live a modern, international and open corporate culture. You are invited to introduce and unfold
Work-Life Balance: Flexible working time models and hybrid work with fixed Mobile Office shares
ArvatoCare: We offer you a generous health budget every year that you can use for a variety of services
Team spirit: respect, diversity, helpfulness and the "WIR" make us strong. We increase our team spirit through team events and joint lunch breaks
Development: Stetige's learning is rooted in our DNA and culture. We promote your network and further development with a wide range of Welcome Days, e-learnings and individual trainings adapted to your needs and knowledge
Attractive package: asset-effective services, bicycle leasing, job ticket, tips sports program, own health insurance, free drinks, approved operating restaurant, corporate benefits and much more
We are pleased to receive applications from people who contribute to the diversity of our company. Diversity refers in particular to the dimensions of cultural or social origin, religion, age, disability, gender and sexual identity. We want to keep the application process as simple as possible for you: Focus on a meaningful CV, we do not need an elaborate writing. We ask for an understanding that we can accept your application exclusively through our online application portal. Do you have any questions? Then please contact us! Ellen Tim | Recruiting | Phone: +[for phone number see the original ad] | [for e-mail see the original ad] More information on our website: www.arvato.com
Joblocations:
33333 Gütersloh, NORDRHEIN_WESTFALEN, GERMANY
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![]() | Arvato Supply Chain Solutions | |
33333 Gütersloh | ||
Germany | ||
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The text of this ad was translated from German into English using an automatic translation system and may contain semantic and lexical errors. Therefore, it should be used for introductory purposes only. For more detailed information, see the original text of the ad at the link below.
For more information read the original ad