Senior Data Engineer responsible for building data pipelines and platforms for AI consulting in Hamburg. Collaborating with data scientists and developers while maintaining a dynamic work environment.
Responsibilities
Build and maintain data pipelines and the infrastructure to support our clients' needs
Design, develop, and implement data platforms for our clients
Work with both structured and unstructured data sources
Optimize data ingestion, processing, and storage
Collaborate with data scientists, analysts, and developers to ensure smooth data operations
Develop and maintain data modeling and database architecture
Estimate the effort required for your tasks
Continuously and actively pursue ongoing learning in the field of AI
Share your knowledge with clients and the team
Requirements
Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field
Minimum of 5 years of experience in data engineering, with a focus on big data technologies (Hadoop, Spark, NoSQL)
Strong experience with Python, SQL, ETL tools, and data modeling
Familiarity with cloud platforms (AWS, Azure, Google Cloud Platform)
Ability to work with large and complex datasets at scale
Experience with data integration and implementing data governance policies
Ability to understand, communicate, and develop appropriate technical solutions for complex data requirements
Benefits
An exciting challenge in one of the most important technology areas of the 21st century
Part of an international network focused on AI
Opportunity to work independently and pursue spin-out opportunities
A collegial, appreciative, and inspiring team environment
Company equity and an excellent compensation package
Flexibility and opportunities for growth and advancement
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