ZEIT Verlagsgruppe

Senior Data Engineer – m/f/d

ZEIT Verlagsgruppe

full-time

Posted on:

Location Type: Hybrid

Location: Berlin • Germany

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Job Level

Senior

Tech Stack

CloudETL

About the role

  • 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.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data platform developmentdata infrastructure designdata architecturedata transformation processesdata processing pipelinesETLrelational databasescloud technologiesdata modelingdata integrity
Soft Skills
collaborationproblem-solvinganalytical skillsaccountabilitycuriosityinitiativesolution-oriented mindsetmethodical approachstakeholder engagementinterest in business
Certifications
degree in computer sciencedegree in engineeringdegree in mathematics