Junior Data Engineer - Focus on Data Pipelines (m/f/d)

WE are looking for you!

Instead of just writing code, would you like to see the impact of your work? Together with five analytics and data experts in Bonn, you'll develop modern data solutions for a holistic 360° customer profile, enabling data-driven decisions that contribute to greater inclusion and social participation. You'll start with us on January 1, 2027.

Do what you love

• You will work on modern data products that support reporting, analysis and data-driven decisions at Aktion Mensch.
• You will assist in providing curated data for analysis, reporting, and other data-driven use cases.
• You develop and maintain data pipelines and data processing processes to provide high-quality data.
• You will assist in conducting data quality checks as well as in analyzing and correcting data errors.
• You document data flows, interfaces and technical relationships in a comprehensible and understandable way.
• You will work closely with analysts, data scientists, architecture, development and specialist teams.
• You will support the implementation of standards for data quality, governance, and data reusability.

Show what you can do

• You have gained initial practical experience in the field of data engineering, for example through professional experience, studies, working student positions or your own projects.
• You have good SQL skills and initial experience with Python for processing and analyzing data.
• You are interested in data modeling and modern data platforms and ideally have already gained some initial practical experience.
• You have initial experience with data pipelines, ETL/ELT processes, or similar data integration tasks.
• Prior knowledge of Microsoft Fabric, Azure Data Services, or similar cloud and data platforms is desirable.
• Experience with Git or other version control systems is an advantage.
• You work in a structured, careful and solution-oriented manner.
• You enjoy analyzing technical issues and developing solutions together as a team.
• Clear and understandable documentation of your work results is a matter of course for you.
• You enjoy working with different departments and technical teams and communicate openly and reliably.
• You are interested in continuously developing your skills in the areas of data engineering, analytics, and modern data platforms.
• Successfully completed studies in the fields of computer science, data science, statistics, business informatics or a comparable subject area.

Our recipe for success: The WE wins

• A job where you can do good with lots of fun, creative freedom and flexible working hours.
• Personal and professional development through individual training courses, coaching, leadership programs, master plans and development plans are a given.
• Flexible working hours and mobile working help you to balance work and private life.
• An appreciative atmosphere, clear leadership and the opportunity to learn from mistakes are part of our culture, as is a sustainable working environment.
• We offer customized aids, guidance systems, and technical assistance to enable barrier-free work. If you have a personal assistant or an assistance dog, they are also very welcome here.
• We offer a comprehensive benefits package: child benefit, profit sharing, free Germany ticket, 29 vacation days (plus: Rose Monday, Christmas Eve, New Year's Eve), company pension scheme, Urban Sports membership, free car and bicycle parking in our underground garage, free bicycle rental, carpooling. A positive, open and sustainable work environment where team spirit is highly valued, and in addition, a
• ️-Work atmosphere.

About Us

Inclusion is our core mission. As the largest private funding organization, we inspire people to embrace a society where differences are the norm. We also live diversity within our company. With 280 colleagues, we work every day to ensure that people with and without disabilities can live together naturally. Applications from people with disabilities are welcome! Would you like to join us and help shape the world of tomorrow?
Kununu