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Technologies-expected : Hadoop Spark Kafka Flink Python Java Scala SQL AWS Microsoft Azure technologies-optional : No SQL about-project : Do you want to create Big Data systems that drive the development of artificial intelligence? Do you have the ambition to work with data on a global scale, building solutions that change the way the world uses AI? If so, join our team as a Big Data Engineer and help us transform the present into the future! responsibilities : Design and develop Big Data infrastructure to support the development of AI models Creating efficient processes for ETL, stream processing and integration of data from different sources Optimizing data flows and ensuring scalability for AI applications Collaborate with Data Scientists teams to build and implement machine learning models Monitor, maintain and optimize Big Data systems Maintain a strong focus on the latest trends in Generative AI, fostering a culture of innovation through new and impactful ideas requirements-expected : Practical knowledge of Big Data systems (Hadoop, Spark, Kafka, Flink) Experience working with programming languages (Python, Java, Scala) Knowledge of databases (SQL, No SQL) Hands-on experience with deploying AI solutions using cloud platforms like AWS/Azure Understanding of AI/ML algorithms and their infrastructure requirements Ability to design scalable and efficient data flows Excellent analytical skills and willingness to solve complex problems Passion for working with data and AI Bachelors or Masters degree in Computer Science, Machine Learning, or a related field (Ph D preferred) Ability to collaborate with multi-disciplinary teams Fluent english offered : Employment contract or B2 B - direct employment (not outsourcing) Work 100% remote or hybrid (Warsaw, Poznan, Gdansk) - your choice Training (external, internal), certifications, budget for conferences, subsidized language learning Extras: Private medical care, group insurance, Multisport card, retirement benefits, additional vacation days Soft skills training, support in preparing for the role of a speaker International work, long-term cooperation, diverse projects Opportunity to work on groundbreaking AI projects Access to global data and tools A friendly atmosphere where every voice counts benefits : sharing the costs of sports activities private medical care sharing the costs of foreign language classes sharing the costs of professional training & courses life insurance remote work opportunities flexible working time integration events computer available for private use corporate library no dress code extra social benefits christmas gifts birthday celebration employee referral program charity initiatives extra leave