Help us develop an enterprise-wide data platform on Microsoft Azure and Snowflake.
This role involves designing and implementing data pipelines to extract data from multiple source systems, focusing on scalable and stable solutions.
Main Responsibilities:
* Design, develop and operate data pipelines using Azure Data Factory and Snowflake;
* Manage cloud infrastructure on Microsoft Azure and Snowflake using Infrastructure-as-code;
* Collaborate with the scrum team to estimate, plan, and deliver platform features;
* Empower data analysts and scientists by enabling access to well-structured, high-quality data;
* Work with the infrastructure and cloud team to ensure our solution fits within company standards;
* Stay up-to-date with the latest technologies and industry trends.
Requirements:
* At least 3 years of experience as a data (platform) engineer;
* Academic degree in computer science, engineering or similar;
* Experience building ELT pipelines using Azure Data Factory and Snowflake;
* Strong skills in DevOps, Cloud and Infrastructure as Code, and software development best practices;
* Knowledge of Python and PowerBI is a plus;
* Experience migrating on-prem systems to the cloud is valuable;
* Excellent communication skills and teamwork ability in English;
* German is a plus.
About Us:
We offer modern working conditions, flexible hours, and a home office allowance.
A diverse culture founded on mutual respect and teamwork awaits you at LGT Capital Partners.
We empower and invest in you: your professional development and personal growth are our priority.
Commitment to ESG: sustainability is key for us and has shaped our actions since 2002.
You benefit from favorable terms and conditions if you wish to participate in LGT Capital Partners' investment programs or use LGT banking products and services.