Job

You develop data models in dbt, enhance our data platform, and ensure that data is reliable and understandable through testing, documentation, and close collaboration with analysts and data engineers.

Job summary

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Job technologies

Your role in the team

  • As part of the Data Team at NPG Digital, you’ll further develop our data platform—from processing event and business data to building models in our data warehouse.
  • Your focus is on data modeling, because clean models are the foundation for analytics, dashboards, A/B tests, and personalization.
  • You combine business acumen with software engineering.
  • You challenge requirements, understand the questions behind them, and develop clear, well-reasoned solutions in dbt and our semantic layer.
  • Your work is used across Product, Editorial, and Marketing, and you work directly with the people who use it.
  • AI is changing the way we work: Coding agents are increasingly writing the code.
  • You make the difference when you understand the business logic, model it cleanly, and formulate requirements precisely enough for an agent to implement them reliably.
  • You make data easy and reliable for analysts and business teams to use.
  • Together with the subject matter experts, you ensure that KPIs are defined and calculated consistently.
  • You make our analytics work more maintainable through reusable models, tests, and documentation.
  • Clarifying business requirements and business logic together with Data Analysts and business departments, and translating them into precise specifications and data models that you implement and validate with coding agents.
  • Development and ongoing enhancement of data marts in dbt based on our existing warehouse architecture.
  • Developing consistent KPI definitions together with the subject matter owners and implementing them technically in the semantic layer using Lightdash.
  • Ensuring the reliability of your models through testing, clear documentation, and traceable data provenance.
  • Maintenance and refactoring of existing models, as well as reducing technical debt.
  • Close coordination with Data Engineering on data foundations and shared models, as well as joint resolution of data quality issues.
  • Code reviews and support for analysts in using Git and dbt.

Our expectations of you

Qualifications

  • Very good SQL skills.
  • Confident use of Git and a willingness to participate in collaborative code reviews.
  • Enjoy working with analysts, data engineers, and business teams, and the ability to critically question requirements and explain technical decisions clearly.
  • Very good German skills, at least at C1 level, for discussing technical requirements and key figures.
  • Understanding of business logic and data models to guide coding agents precisely and critically evaluate their output from both a business and technical perspective.
  • Basic knowledge of Python.

Experience

  • Several years of professional experience as an Analytics Engineer, BI Engineer, or Data Analyst with an engineering focus.
  • Practical experience with dbt and the development, testing, and documentation of data models.
  • Practical experience with dimensional data models, such as fact and dimension tables and star schemas.
  • Experience with cloud data warehouses, ideally BigQuery.
  • Experience with BI tools or semantic layers, such as Lightdash, Looker, or the dbt Semantic Layer.
  • Experience in the media or digital sector, for example with subscription, audience reach, or advertising data.

What we offer

  • A role at the intersection of business and engineering, with a direct impact on products and content.
  • Permanent employment with an economically stable media company.
  • Modern data environment (dbt, BigQuery, Snowplow, Lightdash) with large volumes of data and clearly defined use cases.
  • Tailored professional and personal development opportunities.
  • A culture of informality, flat hierarchies, and short decision-making processes.
  • A collegial, supportive team with regular team events.
  • Attractive corporate benefits, discounted public transport pass, and sports programs.

Benefits

Higher take-home pay

Work-Life-Integration

Health, fitness & fun

Topics you will work on

Job locations

Map of the job locations
© OpenMapTiles, © OpenStreetMap contributors
  • Location Ulm
    Baden-Württemberg, Germany

About your employer

Die Neue Pressegesellschaft ist das Dach zahlreicher digitaler und gedruckter Medien im Südwesten und Osten Deutschlands. Zu unseren Tageszeitungs-Marken zählen die Südwest Presse, Märkische Oderzeitung und Lausitzer Rundschau.

Company size
1-49 Employees
Company type
Established Company
Work model
Onsite
Industry
Media, Publishing
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Analytics Engineer

Neue Pressegesellschaft mbH & Co. KG