Data Platform Engineer
Help us develop an enterprise-wide data platform on Microsoft Azure and Snowflake. Design and implement scalable and stable data pipelines to extract data from multiple source systems.
1. Main Responsibilities:
2. Design, develop, and operate data pipelines using Azure Data Factory and Snowflake;
3. Manage the cloud infrastructure on Microsoft Azure and Snowflake using Infrastructure-as-code;
4. Collaborate with the scrum team to estimate, plan, and deliver platform features;
5. Enable data analysts and data scientists to access well-structured, high-quality data;
6. Work with the infrastructure and cloud team to ensure our solution fits within company standards;
7. Stay up-to-date with the latest technologies and industry trends.
Requirements:
1. Main Requirements:
2. At least 3 years of experience as a data (platform) engineer in finance or technology;
3. Academic degree in computer science, engineering, or similar;
4. Experience building ELT pipelines using Azure Data Factory and Snowflake;
5. Strong skills in DevOps, Cloud, and Infrastructure as Code (e.g., Terraform, Docker);
6. Familiarity with software development best practices;
7. Knowledge of Python and PowerBI is a plus;
8. Experience migrating on-prem systems to the cloud is valuable;
9. Excellent communication skills and teamwork ability in English; German is a plus.
About LGT Capital Partners:
We offer modern working conditions, including work-from-home options and flexible hours. A diverse culture founded on mutual respect awaits you at LGT Capital Partners.
We empower and invest in your professional development and personal growth. Our approach to business is influenced by the Princely Family's long-term perspective, focusing on sustainability since 2002.