Data Platform Engineer

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. 
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