Senior Data Engineer responsible for building data pipelines and infrastructure for AI integration in European companies. Join our team to shape exciting projects in a collaborative environment.
Responsibilities
In this role you are responsible for building and maintaining data pipelines and infrastructure to support our clients' needs
Developing, designing and implementing data platforms for our clients
Building and maintaining data pipelines and ETL processes
Working with both structured and unstructured data sources
Optimizing data ingestion, processing and storage
Collaborating with data scientists, analysts and developers to ensure smooth data operations
Developing and maintaining data modeling and database architecture
Estimating the effort required for your tasks
Continuous, active learning in the field of AI
Sharing your knowledge with clients and the team
Requirements
Bachelor's or Master's degree in Computer Science, Data Engineering or a related field
At least 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
Experience 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 and communicate complex data requirements and to design appropriate technical solutions
Benefits
An exciting challenge in one of the most important technology areas of the 21st century
Be part of an international network with a focus on AI
Independent work with responsibility and opportunities to launch spin-offs or new ventures
A collegial, appreciative and inspiring team environment
Equity in the company and an excellent compensation package
Flexibility and opportunities for growth and advancement
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