Data Engineer developing data products and supporting data-driven decisions for the Zeitverlag. Collaborating on a data platform utilizing Google Cloud and Kubernetes.
Responsibilities
Develop and operate the central data platform for analysts and other data practitioners.
Collaborate with stakeholders to maximize the platform's value.
Design the data infrastructure and architecture.
Design, implement, and deploy data transformation processes and data processing pipelines.
Model data to create a consistent view of business processes.
Ensure data integrity and security.
Requirements
Technical background with a degree in (business) computer science, engineering, mathematics, or a related field.
Professional experience in roles such as Data Scientist, Data Engineer, Analytics Engineer, or similar.
Experience with ETL/data pipelines and relational databases.
Knowledge of cloud technologies.
Structured, methodical approach to problem-solving.
Strong analytical skills and an understanding of data and processes.
Enjoy working on projects and being accountable to stakeholders.
Curiosity, initiative, and a solution-oriented mindset.
Interest in the business side.
Benefits
Work location and hours tailored to individual needs: Our work environment emphasizes flexibility and individuality.
Flexible working hours such as flextime and mobile work, as well as various part-time models to support a healthy work-life balance.
Subsidy for the Deutschlandticket (public transport pass).
Training and development opportunities through our ZEIT AKADEMIE and other educational programs.
Discounts for publications, events, and media offerings.
Employee discounts on newspaper and magazine subscriptions.
Access to Corporate Benefits and benefit.me for additional discounts.
Employee Assistance Program for professional and personal matters.
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