(Senior) Applied AI & Data Engineer (m/w/d) — Migros-Genossenschafts-Bund

CHF 121'500 - 206'500
Migros-Genossenschafts-Bund · Zürich (ZH)
Categoria: tech Contratto: full-time Salario: CHF 121'500 - 206'500
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Location
Zürich
Contract
full-time
Posted
25 days ago
SalaryCHF 121'500 - 206'500

Role overview

As a analytics & reporting team at Supermarket IT, we support strategy, marketing and sales of Migros with statistics, ML, GenAI and optimization methods.

We analyze data for strategic decisions, develop and operate productive solutions.

You want to develop with the business, data-driven solutions to shape the Migros of the future?

Key requirements

  • At least 5 years: Practical experience in the development of analytical or data-driven solutions
  • Completed studies (Uni/ETH, FH, HF): in computer science, data science, mathematics, statistics or a related field or comparable training with appropriate practical experience
  • Very good knowledge of SQL and Python as well as sound experience in data modelling and transformation in analytical and operational contexts
  • Pleasure in taking responsibility for solutions and developing them together in the team professionally, technically and operationally
  • Experience in developing and operating productive cloud-based solutions, ideally on GCP

What the company offers

  • experience in modern engineering practice such as CI/CD, Infrastructure as Code or containerization as well as in the operation of productive web applications and visualizations experience in the retail environment English (good knowledge) Cosa offriamo

Application process

  • You develop modern analytics solutions such as visualizations, optimizations, ML and GenAI applications, implement them productively in the cloud and run them together with your team, from requirement to operation
  • You work closely with departments, understand their needs and translate them into viable technical solutions
  • You integrate data into our Data-M-Six platform, model them for analytics and operational applications – among others.
  • Data Vault 2.0 and normalized OLTP/CRUD models – and make them usable for various Use Cases – You can use our modern cloud-based techstack: GCP (BigQury, Gemini Enterprise Agent Platform), dbt, Python, Data Mech, Data Vault 2.0, Postgres, Docker and Streamlit
  • experience in the application and development of (agentic) AI solutions
  • Mobile flexible working model: Time and space flexibility in fulfilling the

Additional details

  • experience in modern engineering practice such as CI/CD, Infrastructure as Code or containerization as well as in the operation of productive web applications and visualizations experience in the retail environment English (good knowledge)

Notes and original content

  • experience in modern engineering practice such as CI/CD, Infrastructure as Code or containerization as well as in the operation of productive web applications and visualizations
  • experience in the retail environment
  • English (good knowledge)
  • Cosa offriamo
Apply now
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Company
Migros-Genossenschafts-Bund · Zürich
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