Data Engineer building and maintaining data pipelines for AI solutions at AI.IMPACT GmbH. Collaborating with clients and the team in a hybrid work environment in Hamburg.
Responsibilities
In this role you are responsible for building and maintaining data pipelines and the infrastructure to support our clients' needs
Develop, design and implement data platforms for our clients
Build and maintain data pipelines and ETL processes
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 for your tasks
Continuously and actively pursue further education in AI
Share your knowledge with clients and the team
Requirements
Bachelor's or Master's degree in Computer Science, Data Engineering, or other related fields
At least 5 years of experience in data engineering, with a focus on big-data technologies (Hadoop, Spark, NoSQL)
Solid experience with Python, SQL, ETL tools and data modeling
Familiarity with cloud platforms (AWS, Azure, Google Cloud Platform)
Ability to work with large, complex datasets at scale
Experience with data integration and implementing data governance policies
Ability to understand complex data requirements, communicate them, and develop appropriate technical solutions
Benefits
An exciting challenge in one of the most important technology areas of the 21st century
Part of an international network with a focus on AI
Autonomous work and opportunities for entrepreneurship or company spin-offs
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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