Senior Analytics Engineer (all genders)

We are a technical, implementation-oriented spin-off of a global management consultancy. Our clients are primarily DAX and Fortune Global 500 companies, which we advise on issues in the areas of analytics, big data and machine learning. Within the group, we take on the development of individual and data-driven solutions in order to transform our clients into AI-powered companies. We offer an international working environment with agile teams and creative startup methods as well as above-average remuneration and numerous additional benefits. With our HQ in Hamburg, offices in Munich and Düsseldorf and our hub locations in all other major German cities (Cologne, Berlin, Frankfurt and Stuttgart), we ensure that all colleagues are integrated into our team of experts across Germany.


As a Senior Analytics Engineer, you will play a key role in designing and delivering modern analytics solutions. Together with our clients, you will develop scalable data models and analytics architectures that provide the foundation for reporting, self-service analytics and data-driven decision-making.

• You design, develop and take ownership of analytical data models on modern data warehouses and lakehouse platforms, ensuring high quality, performance and long-term maintainability.
• You build robust data transformation pipelines using dbt and establish best practices for testing, documentation, version control and deployment.
• You design scalable analytical data models based on established modelling approaches such as Kimball, Snowflake Schema and Data Vault 2.0, integrating diverse data sources into a consistent analytics landscape.
• You establish and drive best practices for Data Quality, Data Testing, Data Lineage and Data Governance, contributing to the development of modern analytics standards.
• You optimise data models and query performance on modern cloud data platforms, leveraging lakehouse architectures and technologies such as Delta Lake and Apache Iceberg.
• You collaborate closely with business stakeholders, Data Analysts, Data Scientists and Data Engineers, translating complex business requirements into scalable analytics solutions.
• You take technical ownership of workstreams or project modules, ensuring successful delivery while acting as a technical mentor and sparring partner for your colleag