Data Engineering Jobs in Switzerland
There are 255 open Data Engineering jobs in Switzerland on freehire right now. 83 of them were posted recently. The skills employers ask for most often are sql, python and cloud.
Most requested skills
- sql 51%
- python 47%
- cloud 43%
- analytics 39%
- data-engineering 37%
- ai 31%
- azure 30%
- data-pipelines 26%
How the work is done
- Hybrid 28 · 11%
- Remote 13 · 5%
- Onsite 1 · 0%
Visa sponsorship offered in 30% of the 10 postings that state a position on it.
Seniority
- Senior 74
- Junior 10
- Lead 8
- C-level 6
- Intern 5
- Middle 2
Who is hiring
- 1000+ employees 44
- 501-1000 employees 35
- 51-200 employees 15
- 11-50 employees 5
Data Engineer (m/w/d) - Asset Management Infrastrukturanlagen
Build and maintain data pipelines and analytics platforms for SBB’s rail infrastructure, integrating IoT, failure, and operational data to power predictive maintenance and dashboards.
Senior Data Platform Engineer - On-Prem & OpenShift
Build and operate on-premises infrastructure platforms using Red Hat Linux and OpenShift, automating deployments with Ansible in a central bank environment.
Data Platform Engineer - Snowflake, ODI & Kubernetes
Designs and maintains data integration pipelines with ODI, optimizes Snowflake workloads, and deploys Kubernetes-based platform components for reporting and analytics.
Senior Cloud Data Platform Engineer (Azure/AWS/Databricks)
Designs and builds scalable cloud data platforms on Azure, AWS, and Databricks to support data-driven decisions for Swiss public and private organizations.
Finance Data Engineering Lead - AI-Ready Pipelines
Lead the design and implementation of AI-ready finance data pipelines for a reinsurance firm, ensuring compliance with IFRS 17 and enabling scalable data consumption.
Cloud Data Platform Engineer – Azure/AWS, GxP, On-Site
Designs, builds, and automates cloud and on-site data platforms for clinical data pipelines using Azure/AWS, Kubernetes, and IaC in a GxP-regulated environment.
Senior Data Platform Engineer – SQL/Oracle, Azure
Designs, operates, and optimizes central data platforms using MS SQL Server and Azure, focusing on performance, security, and disaster recovery.
DevOps Engineer III (Data Platform)
Designs and runs modern DevOps and MLOps pipelines for AI/ML model deployment, monitoring, and lifecycle management on Linux and GPGPU infrastructure.
DevOps Engineer III (Data Platform)
Design, automate, and operate DevOps and MLOps pipelines for a secure, distributed data platform supporting Swiss military intelligence, using Linux, IaC, GitOps, Kafka, and ClickHouse.
Fachspezialist: in Data Engineering & Management 60-100%
Build and maintain data pipelines, automate reporting, and create dashboards to support energy and water utility operations using Python, SQL, and visualization tools.
Foundry Data Engineer for AI & Analytics
Designs and maintains Palantir Foundry data pipelines and solutions for AI and analytics projects using Python and PySpark.
Data Architect / Data Engineer (f/m/d)
Designs and builds the company’s enterprise data platform using Azure Databricks, Spark, and Python to integrate and model medical/pharma data for analytics and future AI projects.
Data Engineer – Data & AI (F/H)
Design and build scalable data pipelines and platforms (Lakehouse, Data Warehouse) to feed ML models and generative-AI applications, using Python, Spark, Snowflake/Databricks, and cloud stacks (AWS/GCP/Azure).
Data Engineer – IA & Data Platform, Cloud & MLOps
Build and maintain robust data platforms and AI pipelines using Python, Spark, and cloud tools for strategic data projects.
Cloud Data Engineer: Build Scalable Data Pipelines
Build and maintain cloud-based data pipelines for financial trading systems, integrating large volumes of order data across multiple platforms using Spark, Python, and AWS tools.
Cloud Data Engineer
Build and maintain cloud-based data pipelines for financial trading systems, integrating large volumes of order data across multiple systems using Spark, Python, and AWS tools.
Data Engineer / Platform Engineer
Build and maintain scalable data pipelines for a hospital’s BI platform, integrating clinical and administrative data to support analytics and decision-making.