Senior Data Engineer responsible for building and maintaining data pipelines for AI projects. Collaborating with clients to develop data infrastructure in a dynamic environment.
Responsibilities
In this role you will be responsible for building and maintaining data pipelines and 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 required for your tasks
Continuously and actively upskill in 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
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
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 and communicate complex data requirements and 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 focused on AI
Autonomous working and opportunities to found 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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