Analytics Engineer (all genders)

As an Analytics Engineer, you will take on the following exciting tasks:

• Design and implement data models in modern Data Warehouses and Data Lakehouses, ensuring analytical data is delivered reliably and performantly
• Build and maintain data transformation pipelines with dbt, ensuring data flows are documented, tested, and version-controlled
• Develop dimensional data models (Kimball Star Schema, Snowflake Schema) and integrate diverse data sources into a consistent analytical data layer
• Implement Data Quality checks (e.g., Great Expectations, dbt tests) and contribute to maintaining Data Catalogues and Data Lineage
• Optimize database performance and work with modern table formats such as Delta Lake and Apache Iceberg
• Collaborate closely with Data Analysts, Data Scientists, and business stakeholders, translating business requirements into scalable data models
• Take ownership of (sub-)projects, structure data processes, and ensure smooth execution
• Use your strong communication skills and customer-oriented mindset to contribute significantly to project success—whether in meetings, workshops, or presentations

• You have solid experience in data modelling within a Data Warehouse environment and know how to transform raw data into analytics-ready structures
• You have worked with dbt (dbt Core and/or dbt Cloud) in more than one project or bring at least six months of hands-on dbt experience
• You are proficient in Dimensional Data Modelling (Kimball Star Schema, Snowflake Schema) and have experience with data integration and transformation (ELT/ETL)
• You have strong SQL skills and ideally programming experience in Python
• You are familiar with Data Lakehouses (Snowflake, Databricks, BigQuery, Redshift) and ideally have worked with table formats such as Delta Lake or Apache Iceberg
• Experience with Data Quality tools (e.g., Great Expectations), Data Catalogues, and Data Lineage is a plus
• Experience with Data Vault 2.0 is a bonus
• You can explain complex topics clearly—in German (at least B1 level) and English
• You don’t mind travelling to our customers from time to time
• You thrive in a team environment and bring empathy, communication skills, and a proactive mindset to every project

• At our company you will find an exciting job in the AI environment
• Flexible working hours and locations such as home office are a matter of course for us
• A familiar culture, short communication channels and lots of great, experienced, international colleagues who are always there to support you 
• Company-wide, international events that are well worth seeing
• Company bike and subsidisation of your fitness membership (EGYM Wellpass)
• Targeted and individual training for your professional and personal development
• A central location in Hamburg's,Munich's and Düsseldorf's city centre with good transport links (bus & train), as well as hub locations in all other major German cities
• Daily fresh fruit, good coffee, snacks, soft drinks & after-work beer