(Senior) Applied AI & Data Engineer (m/w/d) — Migros-Genossenschafts-Bund
NewCHF 121'500 - 206'500
Migros-Genossenschafts-Bund · Zürich (ZH)
- Location
- Zürich
- Contract
- full-time
- Posted
- Yesterday
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?
- 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.
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 will use our modern cloud-based techstack: GCP (BigQury, Gemini Enterprise Agent Platform), dbt, Python, Data Mesh, Data Vault 2.0, Postgres, Docker and Streamlit Requisiti
- 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 related fields or comparable training with appropriate Practical experience
- Very good knowledge of SQL and Python, and well-founded experience in data modelling and transformation in analytical and operational contexts
- joy in taking responsibility for solutions and developing them together in the team
Contacts
- The decision about the advancement or departure from the recruitment process is communicated by telephone or email.
- Duration to feedback: Up to three weeks of consultation with HR & Department The interview is conducted with the person responsible from HR and/or the department of the field of competence or on site.The main focus is on learning more about the human resources and specialist skills and gives both sides the opportunity to assess the cultural fit of the company and team.
- Duration to feedback: Up to three weeks of expert discussion with case presentation Specific expertise is tested using a case or other 5,7 instruments.
- After the processing, the result of the leader is presented and then discussed together.
- Usually, the team is also represented at the presentation.
- As a rule, the talks are conducted by the superior person, without representatives from the HR.
- Duration to feedback: Up to three weeks to get to know the team Whether someone fits into the team is an important factor for employees and employers when deciding for or against employment.
- In an unforced context, we therefore give the opportunity for everyone to get to know each other.
- Offer & Contract Exhibition (Digital) After our oral job offer, the most important points of the contract are verified.
- By agreement, the contract is commissioned and sent to the digital signature by e-mail.
Additional details
- Completed studies (Uni/ETH, FH, HF): In computer science, data science, mathematics, statistics or related fields or comparable training with appropriate Practical experience
- of productive web applications and visualizations - experience in the retail environment English (good knowledge) Cosa offiamo
- fair wages: functional and market-oriented redemption - "We pay
- Targeted funding: promotion of our employees with targeted personnel development measures Contatto Application & Contact Yanick Mohn TalentSurg Partner
- Recruitment process Submit application documents We need your CV, certificates and diplomas for a complete application. A photo in your CV and a letter of motivation are not necessary.
Notes and original content
- Completed studies (Uni/ETH, FH, HF): In computer science, data science, mathematics, statistics or related fields or comparable training with appropriate
- Practical experience
- of productive web applications and visualizations - experience in the retail environment
- English (good knowledge) Cosa offiamo
- fair" certified
- Recruitment process Submit application documents We need your CV, certificates and diplomas for a complete application.
- A photo in your CV and a letter of motivation are not necessary.
