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Technologies-expected : Python data management frameworks data governance frameworks technologies-optional : AWS Google Cloud Platform Microsoft Azure Kafka Druid Databricks Hadoop about-project : At Grape Up our mission is leveraging technology to drive software innovation. Together with our client, 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. responsibilities : 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-expected : 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 offered : Non-corporate work environment Access to knowledge platforms (e.g. Pluralsight) Equipment of your choice In-house business & tech trainings, and meetups Financing of conferences, external trainings, and certifications Language lessons (English, German, and Polish) Cafeteria My Benefit where you can choose your favourite perks (e.g. Lux Med private medical care, Multi Sport, shopping, and event vouchers, etc.) Weekly Lunch & Learn where we meet up in the office, lunch together, and share our knowledge Employee referral program Rewards for the success of the month and year awarded by our employees Integration activities & trips Business travel opportunities benefits : sharing the costs of sports activities private medical care sharing the costs of foreign language classes sharing the costs of professional training & courses remote work opportunities flexible working time fruits integration events corporate sports team preferential loans no dress code video games at work coffee / tea drinks parking space for employees leisure zone extra social benefits employee referral program charity initiatives