Cloud Data & ML Engineer (80-100%)

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., 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.

• 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., * 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