(Junior) Data Engineer (m/w/d)

Frankfurt am Main | Product + Sales | Full-time | Fixed-term contract for two years | Starting immediately / subject to availability

(Junior) Data Engineer (m/f/d)

The Frankfurter Allgemeine Zeitung is renowned far beyond Germany's borders for its outstanding journalism. Together with our employees, we actively champion freedom in our democratic society. Therefore, we see the promotion of diversity and pluralism as our mission – in all areas of our work. We set ourselves ambitious goals, which we achieve through professional excellence. In a respectful environment and with the right tools, we are shaping the digital transformation. Join us in making a difference!

Your challenges:

• As a member of our central data team and in close collaboration with our data scientists, you will drive challenging data projects forward and implement technical solutions for professional challenges .
• They are further developing the central data infrastructure of the FAZ and building a high-performance and scalable basis for machine learning models and dashboards .
• They support us in setting up and expanding the data models , including the necessary infrastructure via CI/CD .
• They handle the operation , monitoring , error analysis , and debugging .
• Specifically, your responsibilities include the following tasks :
  
  • Setup , maintenance and optimization of ETL processes , data lakehouse and data models , as well as development of interfaces to operational systems.
  • Maintenance and operation of DevOps pipelines for automated deployments
  • Support with the migration of our data infrastructure

Your profile:

• You have a completed degree in computer science , media or business informatics or a comparable qualification and have initial professional experience in the field of business intelligence (BI) and/or data warehouse (DWH) .
• They bring a very good understanding of DWH/BI management as well as experience in handling and operating SQL databases , ETL processes , Microsoft Fabric and programming languages ​​( Python , Spark , SQL etc.).
• You enjoy working in an interdisciplinary manner with other data experts in the team and appreciate working in a dynamic environment with plenty of creative freedom – your conceptual and analytical skills and your communication skills will be a great asset here.
• Due to your hands-on mentality and your structured, organized way of working, you prefer to work in a highly implementation- and results-oriented manner .
• They possess a quick grasp of concepts and are committed to unlocking previously untapped potential in the field of data .

Your advantages:

• The option to work remotely and our flexible working hours allow you to best combine your private and professional life –30 vacation days per year provide additional relaxation .
• With our qualified training programs and interesting career prospects, nothing stands in the way of your professional development .
• In an appreciative work environment, you can expect a motivated and professional team with diverse and complementary skill sets as well as a state-of-the-art toolset ( Azure Data Factory , Databricks , Azure DevOps Server , Azure Data Lake Storage , Azure SQL Database , Analysis Services , Power BI ).
• You can also look forward to numerous discounts and offers , such as subsidized meals in our canteen or fitness memberships , and stay environmentally friendly and mobile in your free time thanks to Deutschlandticket and eCarsharing .

Your contact person for any questions:

Personal interaction is important to us. If you have any questions, Julian Marquardt will be happy to hear from you by phone or email.

Julian Marquardt

Human Resources Department
Telephone: +49 69 7591-2677
Email: [email protected]