YOUR RESPONSIBILITIES Data Platform Architecture Design and implement unified data platform architecture (data lake, data warehouse, streaming) Build scalable data ingestion pipelines for IoT sensors, transaction data, and external APIs Implement real-time data processing systems for operational decision-making Design data modeling and governance frameworks ensuring data quality and lineage MLOps & Model Infrastructure Build ML model training, deployment, and monitoring infrastructure Implement automated model retraining and validation pipelines Design feature stores and model registry systems Create A/B testing frameworks for model performance evaluation Implement model monitoring and drift detection systems Analytics & Business Intelligence Build and maintain analytics infrastructure supporting real-time dashboards Design data APIs and self-service analytics tools for business teams Implement data processing workflows for business intelligence and reporting Create data products supporting operational decision-making Data Operations & Quality Implement data quality monitoring and alerting systems Design data backup, recovery, and disaster recovery procedures Manage data security, privacy, and compliance (GDPR) Optimize performance and cost of data infrastructure YOUR PROFILE 4 years of experience building scalable data platforms, pipelines, and working with data warehouse/lake architectures. Strong proficiency with cloud data services (Azure, Snowflake, DBT) and processing frameworks (Spark, Kafka, Airflow). Excellent skills in Python, SQL, and data modeling techniques. Nice to have: 2 years of experience with the full ML lifecycle, including model monitoring, versioning, automated retraining, and feature engineering. (Scikit-learn, TensorFlow, PyTorch and/or MLflow, Kubeflow). Proficient with containerization (Docker, Kubernetes), version control, and CI/CD practices. Familiarity with Infrastructure as Code (Pulumi, Terraform, CloudFormation). Understanding of API design and service-oriented architecture. Skilled at translating business requirements into technical solutions and an understanding of analytics and BI requirements. Knowledge of real-time analytics, stream processing, time-series forecasting, A/B testing, and data privacy regulations is beneficial. Strong communication skills in English (German and French are a plus). Non-smoker - we don't want you to smell like cigarettes, neither at work nor at customer meetings. After all, FELFEL is about good food. Valid work permit or Swiss passport. OUR BENEFITS Lots of delicious food, just a few steps away from your desk - we make your gastronomic dreams come true Best barista coffee and tea for the whole team, thanks to our innovative Gavetti coffee machine 5 weeks holiday per year, as well as two full weeks of ‘work from anywhere’ per year to bring more variety to your work day We encourage our employees to use public transport by covering your half-fare travelcard New parents get 16 or 3 weeks, respectively, of fully paid parental leave. We also support the return to work by making a generous financial contribution to childcare until the child reaches kindergarten age. Great team events, such as our well-known FELFEL Summer Outing ABOUT US FELFEL is all about good food and coffee in the workplace: we help Swiss employers become masters of hospitality. With our smart fridge ‘FELFEL’ and delicious barista coffee ‘Gavetti’, we enable companies to provide their employees with first-class, ultra-fresh food and drinks throughout the day. Whether hearty and traditional, modern and vegan or high in protein - our weekly changing menu ensures that all employees always have something to be excited about ;). FELFEL is a family business that was founded inToday, we take care of aroundlocations in Switzerland, and have 150 employees across our offices in Lausanne, Zurich and New York. jid65f6199a jit1044a jiy25a