• You will design, develop and be responsible for analytical data models on modern data warehouses and data lakehouses, ensuring their quality, performance and sustainable development.
• You will develop robust data transformation processes with dbt and establish best practices for testing, documentation, versioning and deployment.
• You design scalable analytical data models based on established modeling approaches such as Kimball, Snowflake Schema or Data Vault 2.0 and integrate a wide variety of data sources into a consistent analytics landscape.
• You establish and are responsible for concepts for data quality, data testing, data lineage and data governance, and support the development of modern analytics standards.
• You optimize data models and query performance on modern cloud data platforms and utilize current Lakehouse technologies as well as table formats such as Delta Lake or Apache Iceberg.
• You work closely with specialist departments, data analysts, data scientists and data engineers, translating complex business requirements into sustainable analytics solutions.
• You take on technical responsibility for work packages or sub-projects, manage their successful implementation and support colleagues as a professional sparring partner.
• Thanks to your strong customer focus and communication skills, you advise customers on an equal footing, moderate workshops and present technical solutions in a way that is understandable for different target groups.

That's you

• You have several years of practical experience in analytics engineering and data modeling on modern cloud data platforms. You understand how to translate business requirements into sustainable analytical data models and develop solutions with real added value for our customers.
• You have sound experience with dbt (dbt Core and/or dbt Cloud) and have already successfully designed, implemented and further developed analytics engineering solutions in several customer projects.
• You have a solid command of Dimensional Data Modelling (Kimball Star Schema, Snowflake Schema) and possess in-depth experience in the design and implementation of modern ELT/Transformation architectures.
• You have excellent SQL skills and use Python as needed for automation, analysis, or data-driven solutions.
• You have practical experience with modern cloud data platforms such as Snowflake, Databricks, BigQuery or Amazon Redshift and are familiar with current Lakehouse concepts as well as table formats such as Delta Lake or Apache Iceberg.
• Topics such as data quality, data testing, data lineage, and data governance are integral parts of professional analytics solutions for you. Ideally, you have already worked with Great Expectations, Data Catalogues, or similar tools.
• Knowledge of Data Vault 2.0 and experience with Semantic Layers or modern BI architectures are a plus.
• You take responsibility for technical solution designs, advise customers on an equal footing, and support colleagues as a professional sparring partner and mentor.
• You communicate complex technical concepts in an understandable and audience-appropriate manner – both in German (at least C1 level) and in English.
• Occasional trips to visit our customers are a matter of course for you.
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