Job
- Level
- Experienced
- Job Field
- Data, Application
- Employment Type
- Part Time/Full Time
- Contract Type
- Permanent employment
- Location
- Berlin
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop scalable data solutions and pipelines using SQL and Python to meet product and business goals, ensuring consistent data collection across the organization.
Job Technologies
Your role in the team
- Definition of measurement concepts, tracking standards, and domain-specific data models for central product and business units.
- Translation of product goals and business questions into scalable data solutions, key figures, and datasets.
- Ensuring that product data is consistently collected, documented, and understood across the organization.
- Building and operating data pipelines, transformations, and data services using technologies such as dbt, SQL, Python, and BigQuery.
- Development of solutions that connect product, analytics, and business systems and make data available where it creates value.
- Ensuring reliability, scalability, and data quality throughout the entire product data lifecycle through monitoring, testing, and automation.
- Act as an embedded data partner for product teams and as a link between product, engineering, analytics, and business stakeholders.
- Supporting data-driven decision-making through trusted KPIs, self-service data offerings, and reporting solutions.
- Development of solutions with measurable business benefits.
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Our expectations of you
Education
- Completed degree (Mathematics, Computer Science, Statistics, or similar) and relevant professional experience in Data or Analytics Engineering.
Qualifications
- Experienced in SQL, Python, and dbt for developing scalable data pipelines and transformation processes - ideally within the Google Cloud environment (BigQuery, Cloud Storage, IAM).
- Expertise in designing reusable data models and Semantic Layers to enable stakeholders to perform efficient self-service analytics.
- Deep understanding of event-based tracking, product analytics, and measurement concepts for managing digital products.
- Strong ability to translate complex requirements into understandable data solutions and to collaborate effectively with cross-functional teams (Product, Engineering, Business). Good communication skills in English and German (at least level B).
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What we offer
- You actively shape the digital future of one of Switzerland's leading media houses with a high degree of personal responsibility.
- As part of the 'Product Experience' division, you will experience a high level of innovation in the field of User Experience and digital products.
- We support work-life balance with modern work models (flexible working hours within a 40-hour week (100%), home office possible, day off on your birthday, 28 days of vacation, etc.)
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Topics that you deal with on the job
Job Locations
This is your employer
NZZ-Mediengruppe
The NZZ Media Group is a renowned media house based in Zurich, Switzerland. It publishes the *Neue Zürcher Zeitung* and offers a variety of media products, including events, podcasts, and television content. Since 1780, the group has been committed to high-quality and independent journalism.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Media, Publishing
Product Data Engineer
- Location
- Berlin
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
