Möbel Pfister AG
Suhr
Analytics Engineer (m/f/d)
- 03 July 2026
- 100%
- Suhr
Job summary
Join pfister and help bring our products into every Swiss home.
Tasks
- Build and enhance a future-proof data foundation for decisions.
- Develop and operate modern data pipelines and architecture.
- Collaborate with stakeholders to deliver data-driven insights.
Skills
- Experience in Data Engineering and cloud data warehouses required.
- Strong SQL skills and experience with relational databases needed.
- Good Python knowledge for automating data processes essential.
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About the job
At pfister, we pursue a vision: we want to bring our products into every Swiss home. For this, we are looking for active support. Help us bring the approximately 100,000 products in our range into the homes of our customers. Whether in one of the 18 branches or at the headquarters in Suhr: you can expect a unique environment, working with appealing products, and last but not least, appreciation and respect for your commitment. Around 1,400 people already work at pfister today – will you be joining soon?
What we offer:
- A small team with short decision-making paths and direct connection to management
- Your work flows directly into management decisions and operational processes
- We productively use AI in everyday work (e.g. for analyses and automation) and continue to expand this
- A broad range of topics: infrastructure, CRM and campaigns, NPS, pricing — and much more
- A modern data stack on Azure, which we are actively building — including ongoing migration projects; you can help shape architecture and tooling
Analytics Engineer (m/f/d)
Your new tasks
- Building and continuously developing a future-proof data foundation as a basis for data-driven and customer-oriented decisions throughout the company
- Designing, developing and operating modern data pipelines as well as ETL/ELT processes and actively shaping the data architecture
- Developing data-driven models, analyses and recommendations with direct added value for strategic and operational decisions
- Technical leadership of expansion and implementation projects as well as contributing to the implementation of innovative technical and analytical solutions
- Close collaboration with internal stakeholders and data science experts as a competent contact person and sparring partner
What you bring with you
- Experience in data engineering, especially in building data pipelines and working with cloud data warehouses
- Very good SQL skills and solid experience with relational databases
- Good Python skills for developing and automating data-related processes
- Analytical, structured and independent working style with a strong affinity for data
- Completed studies in (business) computer science, statistics, mathematics or comparable education
- Experience with dbt
- Experience in data science / statistical modelling
- Experience in project management
