Job
- Level
- Experienced
- Job Field
- BI, Database
- Employment Type
- Full Time
- Contract Type
- Temporary employment
- Location
- Munich
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you develop data models, evaluate storage options, and design data pipelines while using SQL and Python to implement reporting solutions in Power BI.
Job Technologies
Your role in the team
- Data Modeling & Architecture: You develop conceptual, logical, and physical data models (Star/Snowflake schema, ideally also Data Vault) and classify target architectures such as Lakehouse, Medallion architecture, or Data Mesh objectively — with a justified recommendation for the respective context, not based on trends.
- Selection of the appropriate storage format: You evaluate relational, document, key-value, graph, and vector databases in terms of consistency, scalability, and cost, making well-founded decisions for the respective use case.
- Databases in depth: You are proficient in SQL, including query tuning, execution plans, indexing, and partitioning (e.g., PostgreSQL), and ideally have practical experience with NoSQL systems such as MongoDB, Cassandra, DynamoDB, or Redis.
- Pipelines & Integration (Batch and Streaming): You design and operate data pipelines and have practical experience with Kafka (Topics, Partitioning, Consumer Groups, Schema Registry, Exactly-once Semantics).
- Reporting & Analytics: You utilize Power BI beyond traditional reporting - with DAX, semantic modeling, and row-level security.
This text has been machine translated. Show original
Our expectations of you
Education
- You have a completed degree, e.g., in Computer Science, Mathematics, Natural Sciences, or a comparable qualification or further training.
Qualifications
- In addition, you have very good SQL skills (query tuning, execution plans, indexing, partitioning) as well as advanced Python skills for transformation, automation, and production use.
- You have a solid understanding of data modeling concepts (dimensional modeling, Data Vault, star/snowflake schema) and modern architectural approaches (Medallion, Data Mesh, Lakehouse).
Experience
- Your several years of professional experience as a Data Engineer (m/f/d), ideally in the environment of Data Warehouses, Data Lakes, or Lakehouse architectures, distinguishes you.
- Experience with cloud platforms, preferably Microsoft Azure, as well as ideally with Microsoft Fabric, is also required, along with proficient use of Power BI, including DAX, semantic modeling, and Row-Level Security.
This text has been machine translated. Show original
What we offer
- The position is limited to two years.
This text has been machine translated. Show original
Benefits
Work-Life-Integration
Health, Fitness & Fun
Topics You Will Work On
Job Locations
About Your Employer
Deutscher Landwirtschaftsverlag GmbH
The Deutsche Landwirtschaftsverlag is a specialist publisher with 365 employees and over 68 million euros turnover per year. Its media-spanning portfolio includes specialist and special interest magazines, online portals and shops, apps, events, seminars and awards as well as market research.
Description
- Company Size
- 50-249 Employees
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Public Service, Unions
Data Engineer
- Location
- Munich
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
