(Senior) Data Engineer, Analytics and AI (f/m/d)
80 – 100% · Permanent position · Immediately or by agreement · Home office option
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.
What you move
* 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.
What you will bring
* 5 years Data Engineering
* Completed degree (university / university of applied science / higher technical college)
* English (Advantageous)
* 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 degree in Computer Science or a data-focused field (ETH/UNI/FH) or equivalent professional expertise.
* Pipeline Mastery: Extensive experience in sustainable data modeling and the design of complex, high-volume data pipelines.
* Technical Stack: Expert SQL skills with Google BigQuery and proficiency in data workflow tools such as Dataform, dbt, Airflow, or Dagster.
* Software Engineering: Strong programming skills in Python, including experience with Git and software engineering best practices like unit testing and CI/CD.
* ML & AI Foundations: Practical experience with ML modeling technologies (e.g., PyTorch, TensorFlow, or Vertex AI) and a deep understanding of data preparation for ML tasks.
* Language: Fluent English is a must, while German is considered as a plus.
* Bonus Skills: Knowledge of web tracking (Snowplow/Google Analytics) or data visualization tools like Tableau.
The benefits we offer
* Werte statt blabla
* Mutig selbst denken
* Unkompliziert
* Flexibilität statt verbiegen
* Schnelles Wachstum
* Weitere Benefits Schweiz
* Flexible working hours
* Flexible workplace / working from home
* Maternity/paternity leave
* Employee offers
* Holidays
* Individual continuing training
* Initial and continuing vocation training
* Personal responsibility & freedom
* Room to manoeuvre and decision-making
Application and contact details
Maja Crljen
Only direct applications will be considered for this position.
Galaxus
DG Hauptsitz
Pfingstweidstrasse 60b
8005 Zürich