Data Platform Engineer (with MLOps capabilities)
Zürich
Key information
- Publication date:23 September 2025
- Workload:100%
- Contract type:Unlimited employment
- Place of work:Zürich
Job summary
Join FELFEL as a Data Platform Engineer to innovate in food tech! Enjoy a vibrant work culture with great benefits.
Tasks
- Design scalable data platforms and pipelines for IoT and APIs.
- Implement real-time data processing systems for insights.
- Build ML infrastructure for automated decision-making and monitoring.
Skills
- 4+ years in data engineering with cloud services expertise.
- Proficient in Python, SQL, and data modeling techniques.
- Familiar with MLOps and containerization tools like Docker.
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NICE TO MEET YOU!
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
YOU WILL BE MEASURED BY
APPLY NOW
IN SHORT
We'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 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
- 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
- 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
- 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
WHAT TO EXPECT
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 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.
www.felfel.ch
FELFEL VALUES