Data Platform Engineer

Data Platform Engineer (with MLOps capabilities)Join to apply for the Data Platform Engineer (with MLOps capabilities) role at FELFEL SwitzerlandWe're looking for a Data Platform Engineer (80-100%) in Zurich preferrably with MLOps expertise to build and scale our data infrastructure. You'll be the technical foundation enabling our Data & Insights value stream to deliver real-time dashboards, predictive models, and automated decision-making systems.Your mission: Build the data foundation for intelligent operations. You'll design and implement scalable data pipelines, ML infrastructure, and analytics platforms that turn our massive IoT and business data streams into competitive advantages through automation and insights.YOUR RESPONSIBILITIESDesign and implement unified data platform architecture (data lake, data warehouse, streaming)Build scalable data ingestion pipelines for IoT sensors, transaction data, and external APIsDesign data modeling and governance frameworks ensuring data quality and lineageBuild ML model training, deployment, and monitoring infrastructureImplement automated model retraining and validation pipelinesDesign feature stores and model registry systemsCreate A/B testing frameworks for model performance evaluationImplement model monitoring and drift detection systemsBuild and maintain analytics infrastructure supporting real-time dashboardsDesign data APIs and self-service analytics tools for business teamsImplement data processing workflows for business intelligence and reportingData Operations & QualityImplement data quality monitoring and alerting systemsDesign data backup, recovery, and disaster recovery proceduresManage data security, privacy, and compliance (GDPR)Optimize performance and cost of data infrastructureYOUR PROFILE4+ 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).Valid work permit or Swiss passport.OUR BENEFITSLots of delicious food, just a few steps away from your deskBest barista coffee and tea for the whole team5 weeks holiday per year, as well as two full weeks of ‘work from anywhere’ per yearWe encourage our employees to use public transport by covering your half-fare travelcardNew parents get 16 or 3 weeks, respectively, of fully paid parental leave.Great team events, such as our well-known FELFEL Summer OutingABOUT USFELFEL 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.FELFEL is a family business that was founded in 2013. Today, we take care of around 1000 locations in Switzerland, and have 150 employees across our offices in Lausanne, Zurich and New York.FELFEL is an equal opportunities employer and welcomes applications from diverse candidates. We are committed to creating an inclusive and respectful workplace culture. #J-18808-Ljbffr