Data Engineering - Working Student all genders

Your mission

As a Data Engineering Working Student at Banware youll work closely with our tech team on various data infrastructure projects. Youll play a key role in building and optimizing our data pipelines gaining practical experience with leading tools like Snowflake dbt (data build tool) and Fivetran to manage and transform data from diverse sources.

• Assist in designing building and maintaining efficient data pipelines using Fivetran and dbt.
• Collaborate with the team to manage and optimize our Snowflake data warehouse.
• Contribute to data quality and governance by implementing best practices.
• Work with crossfunctional teams to understand their data needs and provide effective solutions.
• Help troubleshoot and resolve datarelated issues as they arise.
• Utilize data analytics tools to create interactive dashboards that support business growth.

Your profile

• Currently enrolled in a Bachelors or Masters program in Computer Science Data Science or a related field.
• Fluent in English with strong communication skills.
• Familiar with SQL and have some experience working with databases.
• Basic understanding of data warehousing concepts and ETL/ELT processes.
• A quick learner especially when it comes to new tools and technologies like Snowflake dbt and Fivetran

Our offer

• Flexible working hours to accommodate your study schedule.
• A dynamic supportive and inclusive team environment.
• Regular team events and activities.
• The chance to contribute to an innovative startup and see your impact firsthand.Location
  This is a working student position (20 hours/week) based in Berlin with office presence. Our new and modern office is located in BerlinMitte close to the U6 station Naturkundemuseum and the SBahn station Nordbahnhof.
  

You belong here
We are big fans of diversity. At Banxware everyone is accepted included and celebrated irrespective of their sexual orientation culture gender religion physical ability or the absence of any of these. We encourage the Women in Tech community actively to apply. Our CoFounder Miriam is a role model in this respect.