Data Engineer
vor 2 Wochen
On behalf of one of our clients in the Wealth Management industry, we seek a Data Engineer to join a growing team of experts and drive innovation across the company.
Your responsibilities will include:
- Manage the cloud infrastructure we use on Microsoft Azure and Snowflake using Infrastructure-as-code;
- Collaborate closely within the scrum team to estimate, plan, and deliver platform features, working alongside the Product Owner to meet business requirements;
- Design, develop and operate data pipelines using Azure Data Factory and Snowflake;
- Empower data analysts and data scientists by enabling access to well-structured, high-quality data, enabling data-driven decision-making;
- Work closely with the infrastructure and cloud team to ensure our solution fits within the company's cloud standards;
- Keep up with the latest technologies and industry trends to ensure our platform remains fit for the future.
Requirements
- At least 3 years of experience as a data engineer, preferably in the finance or technology industry;
- Academic degree in computer science, engineering, or similar;
- Experience in building ELT pipelines, e.g. using Azure Data Factory and Snowflake;
- Strong skills in DevOps, Cloud, and Infrastructure as Code (e.g., Microsoft Azure, Terraform, Docker, Azure DevOps) and familiarity with software development best practices;
- Knowledge of Python and PowerBI is a plus;
- Experience with migrating on-prem (data warehouse) systems to the cloud is valuable;
- Excellent communication skills and teamwork ability in English; German is a plus.
Additional Information:
Location Requirement: Candidates located outside of Switzerland must relocate for the full duration of the project. Remote work outside of Switzerland is not possible.
Please note that we can only consider candidates located within CH/EU and with a valid CH/EU citizenship.
Seniority levelMid-Senior level
Employment typeFull-time
Job functionInformation Technology
IndustriesIT System Data Services, Data Infrastructure and Analytics, and Technology, Information and Media
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