Who we are As the top Swiss e-commerce platform, with a crew of over 3’500 across Switzerland, Germany, and Serbia, Galaxus is poised to move into new markets. Our driving force is our determination to keep challenging the status quo. That’s why we’re on the lookout for characters who’re passionate about making genuine improvements. We’ll give you the freedom and trust to make an impact, to grow with us and to be yourself. Act galactic. Be you. Our team ensures that the further development of the online shop is driven by data. To strengthen the team, we are seeking a motivated Analytics Engineer who will support us in further developing a clean data ecosystem for behavioral and online shop data. Your responsibilities Architect & Orchestrate: Design, build, and manage scalable ETL/ELT data flows using Python and Dataform to transform raw behavioral data into high-performance data objects. Productionalize ML: Partner closely with Senior Data Scientists to transition model prototypes into robust production pipelines, assisting in the engineering and training of ML models. Data Product Innovation: Develop efficient data marts and canonical datasets that serve as the backbone for data-driven shop features, Machine Learning, and Generative AI applications. Collaborative Leadership: Act as a technical consultant for analysts and data scientists, ensuring the integration of online shop data into the broader company platform. Systems Integrity: Implement robust, fault-tolerant systems and maintain clear data logic to meet the growing demands of the business intelligence domain. Your skills Experience: You have 5+ years of professional experience in data engineering, with at least 2 years specifically focused on productionizing machine learning models or working within AI infrastructure. Education: Advanced degr