A complete application in a minute
Tailored resume and cover letter, ready to send.
EY is seeking a Snowflake Data Engineer to help solve complex business challenges using data-driven technologies. You will develop and operate modern data platforms and scalable pipelines in cloud environments, with a focus on Snowflake.
You will work with clients and stakeholders to define requirements, migrate ETL processes to cloud platforms, and build high-performance data models using technologies like Kafka, DBT, and Parquet.
Together, we make the world a little better everyday. At EY, we put everything in motion to meet this ambition and go all in as a team. We have a clear goal: to create sustainable value and growth for our clients, employees and society as a whole. Our global network of around 400,000 employees offers you every opportunity to grow, develop, specialize and pursue your professional strengths and interests. We believe the right career path is as individual as you are.
As a Snowflake Data Engineer, you support our clients in solving complex business challenges with data-driven technologies. You develop modern data platforms and unlock value in key business areas such as supply chain, operations, procurement and finance. In this role, you develop and operate scalable big data pipelines in cloud environments, with a focus on the Snowflake Cloud Data Warehouse. You analyze, modernize and migrate existing on-premises ETL processes to future-ready cloud platforms. You work with clients and relevant stakeholders to define business requirements and support their technical implementation. To ensure optimal performance, you develop high-performance data models, carry out performance tuning and use advanced Snowflake features. You build modern data pipelines for batch and real-time processing with technologies such as Kafka, NiFi, DBT, Matillion, Palantir or Informatica.
Successfully completed degree in computer science, business informatics or a comparable qualification, and 4–7 years of professional experience in big data engineering, data warehousing or ETL.
In-depth knowledge of Azure and/or AWS data platforms, as well as experience in data modeling, distributed systems, SQL and NoSQL databases, and batch and real-time data processing.
Very good German and English skills (at least C1), as well as practical experience with Python, Java or Scala, agile delivery methods, DevOps, containerization, Apache Iceberg and data formats such as ORC, Parquet and AVRO.
At EY, you work in high-performing, interdisciplinary teams with innovative technologies. In a flexible and inclusive work environment, we support you in your different life situations. Inspiring colleagues, as well as training and development opportunities on and off the job, help you exceed your own expectations and develop the skills you will need in the future. A steep learning curve is guaranteed.