Working Student (f/m/d) Data Engineering

Siemens AG · Erlangen · 15 to 20 hours a week

WerkstudentGerman needed: fluent

Still open on 12 Nov

You apply on the company's own website.

Key facts

You help with the design and implementation of scalable, efficient and fault-tolerant data pipelines, mainly using SQL and Python
You participate in the development and optimization of data models and schemas in cloud-based data warehouses such as Snowflake
You use data transformation tools like dbt to manage data transformation logic and ensure data quality
In addition, you support the monitoring of data pipelines in tools like Snaplogic and fix occurring problems
Documentation of data pipelines, data models and other technical artifacts is also part of your responsibilities

Education: You are currently pursuing a Bachelor's or Master's degree with an IT and/or engineering focus and are interested in an exciting working student position with 15-20 hours/week
Experience and knowledge: You have solid knowledge of SQL and programming, preferably in Python, is not new to you
Ideally you already have practical experience in Data Engineering, including data modeling, ETL/ELT processes and data quality management
First experiences with technologies such as Snowflake, dbt, Kafka and Node-Red are desirable
Work style: Collaboration with cross-functional and international teams is no problem for you, and a solution-oriented and analytical work style characterizes you
Language skills: You score with confident German and English skills

You help with the design and implementation of scalable, efficient and fault-tolerant data pipelines, mainly using SQL and Python
You participate in the development and optimization of data models and schemas in cloud-based data warehouses such as Snowflake
You use data transformation tools like dbt to manage data transformation logic and ensure data quality
In addition, you support the monitoring of data pipelines in tools like Snaplogic and fix occurring problems
Documentation of data pipelines, data models and other technical artifacts is also part of your responsibilities

Education: You are currently pursuing a Bachelor's or Master's degree with an IT and/or engineering focus and are interested in an exciting working student position with 15-20 hours/week
Experience and knowledge: You have solid knowledge of SQL and programming, preferably in Python, is not new to you
Ideally you already have practical experience in Data Engineering, including data modeling, ETL/ELT processes and data quality management
First experiences with technologies such as Snowflake, dbt, Kafka and Node-Red are desirable
Work style: Collaboration with cross-functional and international teams is no problem for you, and a solution-oriented and analytical work style characterizes you
Language skills: You score with confident German and English skills