(Senior) Data Engineer, Analytics and AI (f/​m/​d)

About this role

Our team in Digitec Galaxus 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.

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*Galaxus*

*DG Hauptsitz*

*Pfingstweidstrasse 60b*

*8005 Zürich*

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### Key information

We welcome all applications, but can only consider applications submitted online. Applications submitted by post will be disposed of for data protection reasons and will not be returned.

### What you move

Main task

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.

Main task

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.

Main task

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.

Main task

Collaborative Leadership: Act as a technical consultant for analysts and data scientists, ensuring the integration of online shop data into the broader company platform.

Main task

Systems Integrity: Implement robust, fault-tolerant systems and maintain clear data logic to meet the growing demands of the business intelligence domain.

### What you will bring

#### 5 years

Data Engineering

#### Completed degree (university / university of applied science / higher technical college)

#### English (Advantageous)

Mandatory

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.

Mandatory

Education: Advanced degree in Compu...