Cloud Data & ML Engineer (80-100%)
SIX Group AG
Zurich, CH
Key information
- Publication date:31 October 2025
- Workload:80 – 100%
- Place of work:Zurich, CH
Job summary
Join SIX as a Cloud Data & ML Engineer in Zurich to transform finance.
Tasks
- Design and implement a cloud-native Data Science Platform.
- Collaborate with teams to identify and optimize data solutions.
- Utilize IaC to standardize analytics processes across teams.
Skills
- 3+ years of experience with Azure, AWS, or Google Cloud.
- Proficiency in Python, SQL, and CI/CD automation.
- Experience with Data Lake environments and cloud infrastructure.
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SIX drives the transformation of financial markets.
What sets us apart drives us ahead: between local roots and global relevance, we are a unique blend of tradition and future, of foundation and growth. We value bright minds and inspire them to grow with their ideas. Come and shape the future of finance with us.
Cloud Data & ML Engineer (80-100%)
Zurich |80-100 % | Reference 7443
SIX is recruiting a data and ML platform engineer to further to work on the company wide data platform. In this role, you will be part of a cross-functional team responsible for both designing and implementing a reliable platform for BI and ML/AI as well as consulting internal customers across the organization.
What You Will Do
- be part of an international team that envisions and implements the roadmap of a mature cloud native Data Science Platform, currently serving more than 14 analytics teams and 400+ users.
- closely collaborate with key stakeholders from business data science teams and IT data Engineering teams to enable their capabilities on the DSP: Identify new requirements, analyze platform suitability, propose best practices and existing solutions through demos...
- act hands-on as a Data Engineer to onboard new use cases and optimize existing ones, with a special focus on ML engineering to help productionize ML and GenAI use cases.
- implement new components with Infrastructure as code (IaC), as well as creating templates to ensure best practices and standardization among analytics teams.
What You Bring
- 3+ years of practical experience building data and ML pipelines on Microsoft Azure (our primary cloud service provider) and/or Amazon Web Services, Google Cloud Platform.
- experience in Data Lake environments, preferably Databricks or Fabric, and with a strong knowledge of Spark and Open Table formats (Delta and/or Iceberg).
- proficiency with Python and SQL with a solid understanding of software development and automation concepts like CI/CD to build system critical data and ML pipelines (DataOps/MLOps).
- basic knowledge of cloud foundation services (IAM, networking, storage…), cloud costs management (FinOps) as well as tools to manage cloud infrastructure with IaC (Terraform/OpenTofu, Pulumi, bash scripting…).
- growth mindset and a very proactive attitude for continuous learning and development
- fluency in written and spoken English
If you have any questions, check out our FAQ page or call Yuliya Stoykoat +34 917095993.
For this vacancy we only acceptdirect applications.
Diversity is important to us. Therefore, we are looking to receiving applications regardless of any personal background.
