Senior Cloud Data Engineer / Data Architect (m/w/d)*

• Full-time
• Hybrid
• With professional experience
• 19.08.26
• Edisonstrasse 25, 74076 Heilbronn / Despag-Strasse 6, 85055 Ingolstadt

contact person

Corinna Wolf

Together it's simply better

Welcome to the team for change! As a young, agile IT consultancy for global players Audi and Capgemini, we combine the best of both worlds: the creative freedom that enables innovation and the planning security that has your back.

Focused, collaborative, and always working as a team, we are driving the transformation of the automotive industry. Our greatest motivation: improving processes and procedures, and thus creating real progress.

That's why we're looking for you to help shape our future. Do you like to keep moving forward? Do you think about the future? Are you an optimist? Do you prefer working in a team? Then you'll make us even better!

We are looking for dedicated reinforcements for our teams at our two locations in Ingolstadt and Heilbronn .

What awaits you

Als Senior Cloud Data Engineer / Data Architect (m/w/d)*

• Will you implement customized solutions for our customers in the Volkswagen Group regarding the processing and provision of data in the AWS environment?
• Do you design sustainable, robust and high-performance ETL and ELT pipelines for delivering analytics and machine learning applications?
• Do you ensure the traceability of the data lineage of complex data transformations?
• Are you in close contact with the experts on your team and on the client side?
• Do you create technical, conceptual, and logical data models?
• Do you design and standardize data products that deliver real added value for the customer?
• Are you always up-to-date and willing to continuously develop your skills in the areas of cloud computing and data architecture?
• You'll benefit from exceptional perks: company car, stock options and pension plans, 3 months of paid sick leave, company bike, home office equipment, 8 days of professional development per year, accident insurance, free drinks, after-work events (e.g., laser tag, bowling), and a public transport and childcare allowance. Plus, you'll need strong wrists – there's always time for a game of foosball!

What you bring

• You have a completed degree in (business) informatics, electrical engineering or a similar field (or demonstrably comparable qualification)
• Solid knowledge and experience in the provision and transformation of data
• Experience with AWS services and tools such as Amazon S3, Amazon Redshift, AWS Glue, AWS Lambda, AWS Stepfunctions, etc.
• Extensive understanding of database concepts and technologies, including relational databases and NoSQL databases.
• Practical experience with ETL/ELT tools and frameworks such as dbt (data build tool), Apache Spark, Apache Airflow, AWS Glue and/or AWS Data Pipeline
• Knowledge of data modeling and optimization for analytical and machine learning applications
• Experience with programming in languages ​​such as SQL, Python, Scala and/or similar languages
• Knowledge of the implementation and management of data pipelines and workflows
• Experience with DevOps practices and tools such as Github workflows, CDK, Terraform
• Ability to analyze data problems and develop effective solutions
• Experience with collaboration tools such as Confluence and Jira
• Excellent communication skills and the ability to explain technical information in an understandable way.
• A good understanding of business processes and requirements in the automotive sector (desirable)
• You are distinguished by your excellent communication skills and always keep our customers' requirements in mind.
• Your heart beats for innovative technologies and continuous learning.

For this position, German language skills of (at least) C1 level and English language skills of (at least) B2 level are mandatory.

Please upload your complete application documents (resume, degree certificates (Bachelor/Master/Diploma/Training), work references).

*GENDER DIVERSITY is very important to us - therefore we are particularly pleased to receive applications from potential colleagues.