Job
- Level
- Experienced
- Job Field
- Data, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Hamburg
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you collect online shop data, develop scalable data pipelines in the cloud, and optimize data-centric web applications to establish a future-proof data architecture.
Job Technologies
Your role in the team
- As a Data Engineer, you are responsible for collecting book-related online shop data. In addition to accessing data via APIs, you manage our in-house developed scraping framework. With your help, we will transition this into a scalable, future-proof cloud architecture.
- You manage data-centric web applications & dashboards, and help us to future-proof them through modern, streamlined solutions (e.g., Streamlit or low-code).
- You design and build scalable data pipelines and ETL processes that transfer data from various source systems (VMI, book trade, internal publishing systems) into our data warehouse.
- You design and maintain data models (dimensional & relational) that serve as a reliable foundation for analytics and reporting.
- With your expertise in the Modern Data Stack, you support the management team in decision-making processes regarding the modernization of our data architecture.
- Our - and in the future also your - applications run containerized via Docker and Kubernetes in Linux environments as well as in Azure and Google Cloud.
- Prototyping, conceptualization, and development of innovative data tools as well as modern AI applications are extremely important to us - and here we fully rely on your expertise.
- You ensure data quality and consistency throughout the entire pipeline.
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Our expectations of you
Education
- You have completed a degree related to IT or a thematically similar qualification.
Qualifications
- You are a versatile engineer with expertise in at least two of the following areas:
- Backend / Application: Scalable, cloud-native systems in Python or Java, API design, containerized deployments.
- Analytics / BI: Development of dashboards, interactive reports, and self-service solutions, as well as semantic data models.
- You have very good SQL and database skills, ideally with ORACLE and Google BigQuery.
- You possess good knowledge or strong reading skills in Java, Groovy, and/or Spring Boot to understand, maintain existing codebases and scrapers, and drive their migration to modern stacks.
- You are capable of conveying technical complexity in a simple and clear manner to less technically proficient colleagues, especially analysts, power users, and decision-makers. You communicate confidently in German (C1 level) and are also absolutely proficient in English technical vocabulary.
Experience
- Data Engineering: Experience with data pipelines, SQL, dbt, ELT/ETL, data modeling, and modern Data Stack technologies.
- You bring solid practical experience in Python (e.g., for data pipelines, web scraping with Playwright/Selenium, or API development).
- Ideally, you have experience working with web technologies such as HTML and JavaScript, and in the field of browser automation.
- You feel at home in the Linux environment. Build and deployment processes are familiar to you, and you have already gained practical experience with container technologies (Docker, Kubernetes).
- You have practical experience with the use of AI tools in development (e.g., LLM-based data extraction, code assistants) and possess a fundamental understanding of the pragmatic application of AI in data processes.
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What we offer
- With a flexible 38.5-hour workweek and the option for remote work, we promote the optimal work-life balance.
- Through ongoing training and development at the Holtzbrinck Campus (internal training platform for in-person and online training), we continuously support your professional growth.
- Enjoy benefits such as discounted book purchases, corporate benefits, subsidies for the Deutschlandticket, Urban Sports, and Jobrad.
- Enjoy 30 days of vacation and additional days off on December 24th and December 31st.
- A modern working environment in the heart of the city awaits you. Our central workplace in the Hamburger Bieberhaus offers you excellent transportation connections.
- The PME Family Service supports you in all situations.
- A workation abroad within the EU is possible by arrangement.
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Benefits
Work-Life-Integration
Health, Fitness & Fun
Topics You Will Work On
Job Locations
About Your Employer
Holtzbrinck Buchverlage GmbH
Holtzbrinck Buchverlage GmbH, based in Hamburg, is part of the Holtzbrinck Group and coordinates central tasks for various publishers. It provides support in strategic and operational matters for publishers such as S. Fischer and Rowohlt, but does not publish any books or audiobooks itself. Founded in 2017, the company has established itself as a key player in the publishing services industry.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Media, Publishing
Full Stack Data Engineer
- Location
- Hamburg
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
