Job
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.
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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.
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.
What we offer
- The position is limited to two years.
Benefits
Work-Life-Integration
Health, fitness & fun
Topics you will work on
Job locations
About your employer
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.
- 50-249 Employees
- Established Company
- Onsite, Hybrid
- Public Service, Unions
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