Data Engineer — SIX Group
NewCHF 73'500 - 111'500
SIX Group · Zurich (ZH)
- Location
- Zurich
- Contract
- full-time
- Posted
- Yesterday
SalaryCHF 73'500 - 111'500
Role overview
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.
- 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.
Application process
- We look forward to all applications, regardless of personal background.
- For this vacancy we only accept direct applications.
- Diversity is important to us.
- Therefore, we are looking to receiving applications regardless of any personal background.
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Contacts
- If you have any questions, check out our FAQ page or call Mateusz Kozielec at +41583998611 .
Company and context
- In this role, you will be part of a cross-functional team responsible for both designing and implementing a reliable platform for analytics and data science, as well as consulting internal customers who use the platform across the organization. What You Will Do
- Be part of an international team that designs and maintains a mature cloud native data science platform, currently serving more than 14 internal analytics teams and 600+ users.
- Closely collaborate with key stakeholders from business data science teams and IT data engineering teams to enable them on the platform.
- Identify new requirements, analyze platform suitability, propose best practices and existing solutions through demos
- Act as a hands-on data engineer to onboard new use cases and optimize existing ones, build production ready ETL pipelines, ML/AI use cases and reporting solutions.
- Implement new infrastructure components with Infrastructure as code (IaC), as well as creating templates to ensure best practices and standardization among analytics teams. What You Bring
- 4+ years of practical experience building production data pipelines, data modeling and BI tools in the cloud.
- Experience with Lakehouse architecture, preferably Databricks, with a strong knowledge of Spark and Open Table formats (Delta and/or Iceberg).
- Proficiency with Python (PySpark) and SQL with a solid understanding of software development and automation concepts like CI/CD to build production 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...) on Microsoft Azure (our primary cloud service provider) and/or Amazon Web Services, Google Cloud Platform.
Additional details
- Come and shape the future of finance with us.
- In this role, you will be part of a cross-functional team responsible for both designing and implementing a reliable platform for analytics and data science, as well as consulting internal customers who use the platform across the organization.
- Implement new infrastructure components with Infrastructure as code (IaC), as well as creating templates to ensure best practices and standardization among analytics teams.
Notes and original content
- Data Engineer
- What You Will Do
- What You Bring
