IN SHORT
Were looking for a Data Platform Engineer (80-100%) in Zurich preferrably with MLOps expertise to build and scale our data infrastructure. Youll 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. Youll 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 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 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 systemsAnalytics & Business Intelligence
Build 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 reportingCreate data products supporting operational decision-makingData Operations & Quality
Implement 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 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 dont 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 trueBest barista coffee and tea for the whole team thanks to our innovative Gavetti coffee machine5 weeks holiday per year as well as two full weeks of work from anywhere per year to bring more variety to your work dayWe 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. 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 OutingABOUT 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 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.
Key Skills
Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala
Employment Type : Full-Time
Experience : years
Vacancy : 1