Help us shape the future of BRITA – data-driven, innovative, and sustainable.

As part of the Data Analytics & Integration team, you will help us transform into a modern, future-oriented Data Analytics Platform that takes data-driven decision-making to a new level. While our proven BI landscape continues to be used, we are simultaneously building a scalable, future-oriented platform – technologically innovative and closely aligned with the business.

If you would like to help shape this transformation and contribute your experience in data integration, platform development, and modern technologies, we look forward to receiving your application.

• You will play an active role in setting up and operating our new Data Analytics Platform, using modern technologies such as Databricks, dbt, Airflow, Terraform and Azure Data Services.

• At the same time, you will manage our existing BI landscape and help shape the transition to the new architecture.

• Your responsibilities will include high-performance and maintainable data pipelines as well as the integration of data from various source systems – on-premise and cloud.

• You will be involved in exciting projects – analyzing requirements from the business departments (e.g., Finance & Controlling, Product Development, Quality Management), developing technical concepts based on these requirements, and implementing them in scalable solutions.

• As part of an agile Product Team, you will help enable data-driven decisions and accompany BRITA on its journey to becoming a data-oriented organization.

• You work with Jira to process user stories and use Confluence to document processes and projects.

• As part of rolling platform operations, you will regularly take on responsibility for monitoring, incident handling, maintenance, and communication.

• Helping to shape technical concepts and advising stakeholders round out your profile.

• In addition, you will be involved in the further development of standards, documentation, and training formats, thereby promoting the sustainable use and further development of our Data Analytics Platform.

• A hybrid data landscape with proven on-premise technologies (SQL Server, SSIS, SSAS, Power BI) and a modern Data Analytics Platform with technologies such as Databricks, dbt, Airflow, Azure Data Services, Terraform, GitHub, Python, and Fabric currently under development.

• A motivated team with principles such as trust, personal responsibility, transparency and continuous development.

• A structured operating process that distributes knowledge and ensures stability.

• An environment that promotes innovation and offers space for new ideas.

To unlock your full potential with us, it would be great if you bring

• A degree in business informatics, data engineering, data management or a comparable qualification.

• Several years of experience in data engineering, ideally with a focus on Databricks and Azure. (SQL Server, SSIS, SSAS, Power BI desirable)

• Initial practical experience in the development and operation of complex Data Platforms, including data integration, pipeline design, cloud and on-premise architectures, and close collaboration with business departments to translate requirements into scalable technical solutions.

• Very good knowledge of SQL, Python, ETL design, dbt, Airflow.

• Experience with Infrastructure as Code (Terraform), CI/CD (GitHub), and monitoring (e.g., Datadog, Grafana, Prometheus).

• Understanding of data governance, Unity Catalog, cost monitoring, and metadata management are an advantage.

• Initial experience with Jira and Confluence is desirable.

• Strong communication skills, team orientation, and an agile way of working.

• You are a team player with a hands-on mentality who likes to take responsibility and enjoys driving things forward.