Data Engineering Jobs in Switzerland
There are 255 open Data Engineering jobs in Switzerland on freehire right now. 84 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 Platform Engineer – Remote & Platform Ops Lead
Designs and maintains a data platform and integration platform in a VMware environment, collaborating with engineers and product teams to ensure secure, scalable data operations in a healthcare setting.
Senior Data Engineer AWS
The Senior Data Engineer will develop and maintain AWS-based data platforms and pipelines within a DevOps team for a logistics client. The role involves optimizing Spark-based ETL processes, automating infrastructure, and collaborating with stakeholders to build robust data products.
Data Engineer Trainee
This is a 6-month Data Engineer trainee position at Bvlgari (LVMH Group) in Neuchâtel, focusing on developing and maintaining ETL pipelines and data infrastructure. The role involves collaborating with data analytics and science teams to optimize data solutions using Python and SQL Server.
Data Engineer Intern – Build Robust Data Pipelines
Data Engineering intern at LVMH Group designing and optimizing data pipelines and evolving the data architecture using Python, SQL Server, and ETL processes.
Data Engineer — PySpark & Microsoft Fabric
Designs and optimizes data models and pipelines for an insurance-focused analytics platform using PySpark and Microsoft Fabric, and builds Power BI dashboards.
Data Engineer - Microsoft Fabric, PySpark
Builds and maintains data models/transformations for analytics, optimizing performance for Power BI/Microsoft Fabric dashboards in an insurance client’s decision-making environment.
Senior Big Data Platform Engineer
Build and run a large-scale analytics platform using Hadoop, Spark and OpenShift to power AI/ML insights for Raiffeisen’s business units.
Senior Data Platform Engineer (all genders)
Senior Data Platform Engineer responsible for advancing AXA’s Google Cloud-based Lakehouse architecture, developing data ingestion/services in Python, and enabling AI initiatives through scalable, decentralized data infrastructure.
Senior Data Platform Engineer: Cloud Lakehouse & Data Mesh
Designs, builds, and maintains AXA’s cloud-based lakehouse architecture in Google Cloud, focusing on data ingestion, quality, and metadata management.
Senior Data Platform Engineer
Senior Data Platform Engineer develops and enhances AXA’s Google Cloud-based Lakehouse platform (Data Mesh principles) to support AI/GenAI initiatives. Focuses on data ingestion, quality, governance, and DevOps for scalable, decentralized data products.
Senior Java Backend Engineer - Scalable Cloud Data Platform
Designs and builds scalable cloud-native Java services that process billions of events daily while ensuring reliability and performance.
Data Platform Engineer – Azure, Python & ML Pipelines
Builds and maintains a cloud-native data and AI platform on Microsoft Azure, enabling self-service BI and delivering value to business teams.
Senior Big Data Platform Engineer — Flexible & Remote
Designs scalable data solutions and manages deployment/operational processes for Raiffeisen Schweiz’s analytics platform, leveraging Python, Spark, and cloud-native tools.
Senior Big Data Platform Engineer
Designs and maintains Raiffeisen’s central analytics platform (Hadoop, Spark, OpenShift) to enable data-driven insights via ML/AI, focusing on scalable data solutions, automation, and collaboration with data teams.