Data Engineer – AI

Location: Hamburg, Berlin, Gütersloh or Remote (ideally max. 3 hours travel time to Berlin)

Build the Backbone of AI That Matters

Your Mission

We’re not just another company feeding our data into someone else’s black box. We build our own AI stack – scalable, secure and 100% under our control. If you’re tired of patching together pipelines that no one really understands or maintaining old ETL monsters,read on.

As a Data Engineer – AI, you will be responsible for the architecture, construction, and maintenance of the data pipelines that fuel our artificial intelligence initiatives. You’ll work with a team of talented engineers and data scientists to ensure our AI models have access to high-quality, reliable data.

What you’ll Do

• Design, build, and maintain robust and scalable data pipelines using modern data engineering tools and technologies.
• Develop and implement data quality checks and monitoring systems to ensure data accuracy and reliability.
• Collaborate with data scientists to understand their data needs and translate them into efficient data solutions.
• optimize data storage and processing infrastructure for performance and cost-effectiveness.
• Contribute to the development of our data governance policies and best practices.
• Automate data processes and workflows to improve efficiency and reduce manual effort.

What you Bring

• Proven experience as a Data Engineer, with a focus on building and maintaining data pipelines.
• Strong proficiency in programming languages such as Python or Scala.
• experience with cloud platforms like AWS, Google Cloud Platform (GCP), or Azure. AWS,GCP, and Azure are leading cloud providers.
• Solid understanding of data warehousing concepts and technologies (e.g., snowflake, Redshift, BigQuery). Snowflake, Redshift, and BigQuery are popular data warehouse solutions.
• Experience with data integration tools and techniques (e.g., ETL, ELT).
• Familiarity with data modeling and database design principles.
• Experience with version control systems (e.g., Git). Git is the standard for version control.
• Excellent problem-solving and communication skills.

Bonus Points

• Experience with machine learning pipelines and model deployment.
• Knowlege of data streaming technologies (e.g., Kafka, Flink).Kafka and Flink are widely used for real-time data streaming.
• Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation).Terraform and CloudFormation help automate infrastructure provisioning.
• Contributions to open-source projects.

Why Join Us?

We offer a unique possibility to work on cutting-edge AI technology in a collaborative and supportive habitat. You’ll be part of a team that is passionate about building innovative solutions and making a real impact. We value continuous learning and provide opportunities for professional development.

Key takeaways

• We build our own AI stack, giving you control and ownership.
• You’ll work with modern data engineering tools and technologies.
• We offer a collaborative and supportive work environment.
• this role is critical to the success of our AI initiatives.

Publication Date: 2025/10/24 04:33:44