Marketing Data Engineer - m/f/d

Job Description:

At Siemens Global Business Services (GBS), we believe that robust data infrastructure is the foundation of digital transformation. We're not just looking for someone to build pipelines; we're seeking an innovative Data Engineer who can architect scalable data solutions, implement modern data stack technologies, and ensure data reliability and accessibility across our organization.
Our international team tackles the most exciting challenges of our customers. We specialize in cloud architecture, data engineering, and building resilient data platforms. With us, you will have the opportunity to implement cutting-edge data solutions using technologies like Snowflake, Airflow, and dbt in a cloud-native environment.
Help us to bring the Siemens OneTech Company to live and be part of our transformation to a data-centric company.
Change the world of tomorrow together with us.
* Design and Develop: Create robust, scalable data pipelines and ETL/ELT processes using modern tools like Apache Airflow and dbt. Implement data models that support both analytical and operational needs across the organization.

* Build Cloud Infrastructure: Architect and maintain our cloud-based data platform on Snowflake, ensuring optimal performance, security, and cost-efficiency. Design and implement data lakes and data warehouses that serve as the single source of truth.

* Ensure Data Quality: Implement data quality frameworks, testing procedures, and monitoring systems to maintain data integrity and reliability throughout the data lifecycle.

* Automate and Optimize: Develop automated workflows, optimize query performance, and implement best practices for data engineering to ensure efficient data processing and delivery.
Your profile - solid and ready for the future
* A strong foundation in Business Informatics, Data Science, Statistics, Mathematics, Computer Science, or a related field is essential.
* A minimum of 2 years of demonstrated experience as a Data Engineer or in a similar role is required.
* Proficiency in working with data processing tools such as Apache Airflow, dbt or SSIS is a requirement.
* Proficiency in working with relational databases, including MySQL, is a mandatory requirement. Familiarity with Snowflake is an asset.
* Knowledge of data warehousing concepts, dimensional modeling, and data architectures.
* Knowledge of Python programming is a definite advantage.
* Excellent communication skills and ability to collaborate with cross-functional teams and customers.
* Fluent proficiency in the English language is a necessary skill to complete your profile