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Manpower/Experis is placing a Senior Data Engineer on a 12-month contract in Zurich to build a client's data analytics platform in banking/finance. Day to day: design and maintain real-time data pipelines and backend services using Python/Scala, SQL, Azure, Databricks/PySpark, Kafka, Kubernetes, and dbt.
Experis (Manpower) is hiring a Senior Azure DevOps Engineer for a client in Glattbrugg, Switzerland. The role designs and operates Azure cloud infrastructure, automates deployments with Infrastructure as Code, builds CI/CD pipelines and container platforms, and ensures security, monitoring and compliance while advising clients on cloud and DevOps topics.
Zurich Insurance Switzerland is hiring a Senior Data Solution Engineer (80-100%) in Zürich/Oerlikon to develop data-driven solutions for its life insurance business and evolve the DIG platform — curating and integrating data products and applying governance policies in close collaboration with Life business teams, IT, and product owners.
ti&m in Bern is hiring an experienced Java/Spring Boot software engineer who wants to grow into a Data/AI Engineer role. Day to day you design data-driven and AI-powered solutions and modern platform architectures with engineers, data specialists, and architects for clients in banking, government, transportation, and retail.
Rocken, which runs a digital networking platform for healthcare, is hiring a Data Integration Engineer in Luzern to design and deliver data integration solutions, plan and implement integration projects, and ensure data quality and security. Core stack: REST, SOAP, JSON, XML, messaging systems, and Azure.
Software engineer on Google's Shopping Graph data acquisition and Feeds Infra teams in Zürich, building scalable data ingestion systems and AI-enabled workflows across distributed teams. Core tech: C++, Java, Python, Kotlin, or Go, plus system design and AI/LLM integration.
A lead engineer embedded with client stakeholders who rapidly prototypes AI-native data applications using Python, code generation, and agentic coding tools, then hands validated prototypes over to engineering teams for production builds. Core stack includes AWS data/AI services, Claude, LangChain, Snowflake/ClickHouse.
UBS Card Center AG is seeking an IT Engineer for Server & Storage to manage bare-metal platforms (UCS-X), storage, and backup environments in a data center setting near Zürich. You will implement automation and…
Data Engineer at Generali Switzerland building the data foundation for non-life insurance analytics: developing ETL/ELT pipelines in Python and SQL, designing data lakes and cloud data warehouses, and automating workflows with orchestrators like Airflow, Dagster, Prefect or AWS Step Functions to support analytics and machine learning.
Zühlke is hiring a Senior Data Engineer in Switzerland to design, build, and maintain data pipelines and architectures for clients, working across cloud and on-prem environments and collaborating with data scientists on machine learning. Fluency in German and English is required.
Sigma Suisse is hiring a BI/Data Engineer for an international agro-industrial group in Fribourg, Switzerland (on-site). The role takes over and grows the BI operation: evolving the data warehouse, building SSRS and Tableau reports, managing ETL/SSIS pipelines, and supporting users and business owners.
Senior Data Engineer / Data Warehouse Architect at Zuger Kantonalbank acting as technical lead for data warehouse engineering — evolving the architecture and advising team leadership on modeling, integration and platform decisions. Core stack: Data Vault 2.0, Azure Data Factory, Databricks or Snowflake, with CI/CD, testing and BI collaboration.
RED TIC is hiring a Data Engineer Analytics in Geneva (permanent contract) to design and optimize analytics-focused data platforms. Day to day: building ETL/ELT pipelines, ensuring data structure and quality, and collaborating with business teams and Data Analysts, primarily using SQL and Python.
Senior Data Engineer at SkillSherpa, a Swiss workforce-analytics company, working hybrid in Chiasso (1 day/week remote). The role leads the evolution of the data infrastructure and builds AI/ML analytics solutions on GCP, using BigQuery, Airflow/Composer, Python and SQL for production pipelines, data modeling and cost optimization.
Senior Data Engineer to further develop the central data warehouse, automate data processes, and drive modern data and AI solutions, collaborating with BI teams, ERP/CRM systems, and external partners. Core stack: SQL, ETL/ELT, data modeling, and CI/CD, plus interest in Microsoft Fabric, Lakehouse architectures, and Power BI.
SkillSherpa, a Swiss workforce-analytics and human capital intelligence company, seeks a Senior Data Engineer in Chiasso (hybrid, 1 day/week remote) to design GCP data infrastructure, build ETL/ELT pipelines with BigQuery, Composer and Python (including LLM integrations), and ensure data quality, cost efficiency and team mentoring. Salary up to 85,000 CHF.
Avesco AG, a Swiss family-owned construction machinery and energy systems company with ~500 staff, seeks a Senior Data Engineer (80–100%) in Langenthal to evolve its MySQL-based data warehouse, build automated ETL/ELT pipelines from ERP/CRM sources, develop Power BI semantic models, and help evaluate Microsoft Fabric and lakehouse architectures.
Senior Data Engineer at Zühlke in Schlieren, Switzerland: design, build, and monitor big-data pipelines and architectures for consulting clients, work with data scientists on ML models, and create data dashboards. Core stack is Python, SQL, the Spark/Hadoop ecosystem, Airflow, and public clouds (AWS/Azure/GCP); German and English fluency required.
RED TIC is recruiting, on behalf of one of its partners, a Data Engineer Analytics in Geneva (permanent CDI) to design and maintain analytics-oriented data pipelines, structure data for reporting, and optimize data models. Core stack: SQL, Python, ETL/ELT, Snowflake/BigQuery/Databricks, Data Warehouse/Lake, BI tools, Git and CI/CD.
Data Engineer at Generali Switzerland in Adliswil who designs, builds, and operates scalable ETL/ELT pipelines and cloud data platforms (AWS, Python, SQL, Spark, Airflow) to make complex insurance data reliable, secure, and usable for analytics, pricing, and machine learning.
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