Informacje o stanowisku

At Grape Up our mission is leveraging technology to drive software innovation.

Together with our client, who is a leading provider in the automotive industry, we are building Data & Analytics platform, which acts as a central hub for R&D activities, offering various capabilities in data storage, management, simulations, advanced analytics, machine learning, and AI.

Requirements

• 5+ of professional experience in Data Engineering and Big Data 
• Proven experience in designing and implementing data governance and data management frameworks 
• Expert level knowledge of Python 
• Master’s degree in computer science, Data Science, AI, or related field 
• Strong problem-solving skills and independent work ethic 
• Fluency in English, both written and spoken 

Nice to have

• Experience with cloud platforms such as AWS, GCP, Azure 
• Experience with data streaming technologies, particularly Kafka 
• Experience with Big Data technologies, such as Druid, Databricks, Hadoop 

At Grape Up our mission is leveraging technology to drive software innovation.

Together with our client, who is a leading provider in the automotive industry, we are building Data & Analytics platform, which acts as a central hub for R&D activities, offering various capabilities in data storage, management, simulations, advanced analytics, machine learning, and AI.

,[Design, develop and maintain the Big Data system deployed on-premises , Develop and implement processes and best practices for data management and governance , Optimize and enhance system setup and improve data structures following industry best practices , Collaborate effectively with data engineering team members while partnering closely with analytics and data science teams to meet user needs  Requirements: Big Data, Data engineering, Data structures, Python, Data science, SQL, Apache Airflow, Kubernetes, Iceberg, PostgreSQL, AI, AWS, GCP, Azure, Kafka, Druid, Databricks, Hadoop Additionally: Flat structure, Small teams, International projects, Sport subscription, Training budget, Private healthcare, Free coffee, Canteen, Bike parking, Playroom, Shower, Free snacks, Free beverages, Free parking, In-house trainings, In-house hack days, Modern office, Startup atmosphere, No dress code.

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