Data Engineer (m/f/d)

Alle Mitarbeiterinnen und Mitarbeiter in jeder der 123 Einzelgesellschaften der Otto Group tragen täglich mit innovativen Ideen dazu bei, uns unserem gemeinsamen Ziel näher zu bringen: in allen Bereichen Best in Class zu werden.

The BAUR Group, with operations in the DACH region, has long been synonymous with success in the online business sector and is part of the success of the globally active OTTO Group. Online retail and related services are undergoing rapid change-now more than ever!

As a Data Engineer (m/f/d), you will ensure efficient data pipelines and infrastructures that simplify operational processes and serve as the central foundation for data-driven decision-making. Do you enjoy working with us to understand and master the technology stack? Then we look forward to receiving your application.

Was Dich erwartet:

• You will design, build, and maintain ETL/ELT pipelines to integrate ERP , e-commerce , and third-party data into our data warehouse/data lake.
• You model data (Data Vault, schemas, star/dimensional models) and provide a consistent data foundation for reporting and machine learning.
• You ensure data quality through monitoring, validation, and data quality automation.
• You will work closely with business departments, gather requirements, and translate them into technical solutions.
• You coordinate external service providers and support rollouts.
• You plan and execute tests (unit, integration, performance) for data processes.
• You document processes and interfaces.
• You design and implement cloud infrastructure solutions.

Was Du mitbringen solltest:

• A bachelor's or master's degree in computer science, data science, business informatics, mathematics, or a related field ; or specialized training with some professional experience .
• Practical experience in building data pipelines/ETL processes (e.g., Python, SQL, Airflow , Spark , or similar).
• In-depth knowledge of relational databases and data warehouse concepts (especially Data Vault) .
• Experience with cloud data platforms ( GCP/Azure/AWS ) is a plus.
• Experience with tools/technologies such as PubSub , dbt , Docker/Kubernetes , as well as monitoring/observability (e.g., Prometheus, Grafana ) is helpful.
• Experience in requirements gathering with business departments and in collaborating with external service providers.
• A structured, independent work style and strong communication skills .
• Interest in process optimization and the implementation of data-driven business requirements.

Bitte bewerbe Dich schriftlich bzw. per E-Mail auf diese Ausschreibung.