About Machine Learning Reply
Machine Learning Reply offers customized end-to-end Data Science solutions, covering the entire project life cycle – from initial strategy consulting, data architecture and infrastructure topics, to processing data with quality assurance using Machine Learning algorithms. Machine Learning Reply has extensive expertise in the field of Data Science in all key industries of German HDAX companies.
Machine Learning Reply empowers clients to successfully introduce new data-driven business models and to optimize existing processes and products – with a focus on distributed open source and cloud technologies. With the Machine Learning Incubator, the company offers a program to train the next generation of decision-makers, data scientists and engineers.
Benefits
- Motivizer Benefits Platform to choose and manage all your benefits in one place. You receive a budget (550 PLN monthly). You can choose medical care package, meal tickets, sports cards (we have Multisport and on preferential terms, we have membership cards to one of the most popular Gyms), cinema tickets, shop vouchers, discounts and many more.
- Language Courses – you'll have access to a multi-language learning platform enabling you to practice you language skills and learn new ones!
- Regular and systematic further training opportunities - both internally and from external providers. We support your ongoing learning and development.
- Cooperation within an internal community is our everyday reality. We have networking events, coding challenges, and company parties for different occasions.
- Educational Background: Bachelor’s or master’s degree in Computer Science, Engineering, IT, or a related field.
- Strong experience with AWS cloud services.
- AWS Certification (Associate or Professional level preferred).
- Experience as a Data Engineer or ETL Developer.
- Strong proficiency in Python programming.
- Practical experience with PySpark and distributed data processing
- Hands-on experience with AWS Glue.
- Designing and maintaining ETL pipelines.
- Good understanding of data lakes and data warehouse architecture.
- Experience with version control systems (Git) and familiarity with CI/CD practices.
- Good written and spoken English, Polish.
- Openness to hybrid work and regular visits in Katowice office, once every two months.
About Machine Learning Reply
Machine Learning Reply offers customized end-to-end Data Science solutions, covering the entire project life cycle – from initial strategy consulting, data architecture and infrastructure topics, to processing data with quality assurance using Machine Learning algorithms. Machine Learning Reply has extensive expertise in the field of Data Science in all key industries of German HDAX companies.
Machine Learning Reply empowers clients to successfully introduce new data-driven business models and to optimize existing processes and products – with a focus on distributed open source and cloud technologies. With the Machine Learning Incubator, the company offers a program to train the next generation of decision-makers, data scientists and engineers.
Benefits
- Motivizer Benefits Platform to choose and manage all your benefits in one place. You receive a budget (550 PLN monthly). You can choose medical care package, meal tickets, sports cards (we have Multisport and on preferential terms, we have membership cards to one of the most popular Gyms), cinema tickets, shop vouchers, discounts and many more.
- Language Courses – you'll have access to a multi-language learning platform enabling you to practice you language skills and learn new ones!
- Regular and systematic further training opportunities - both internally and from external providers. We support your ongoing learning and development.
- Cooperation within an internal community is our everyday reality. We have networking events, coding challenges, and company parties for different occasions.
,(We are looking for a Cloud Data Engineer (AWS) to join our team and contribute to the design, development, and maintenance of modern cloud data platforms., You will work on building scalable data solutions in AWS, supporting data processing pipelines, and helping transform business requirements into reliable and efficient cloud architectures. The role involves collaboration with software engineers, data engineers, and project stakeholders throughout the full lifecycle of data platform development., You will have the opportunity to design and implement ETL pipelines, manage cloud infrastructure, and optimize distributed data processing using modern big-data technologies., Design and implement cloud-based data processing solutions in AWS, Develop and maintain ETL/ELT pipelines., Build and optimize data workflows using PySpark., Work with AWS Glue jobs and data catalog., Monitor, troubleshoot, and improve data pipelines performance., Collaborate with teams to translate business requirements into data solutions., Maintain documentation and best practices for data platforms.) Requirements: Python, Java, AWS, Azure, SQL, NoSQL, Big data, Spark, Kafka, Flink, Docker, Kubernetes, DevOps, CI/CD, Databricks Tools: . Additionally: Sport subscription, Training budget, Private healthcare, Flat structure, Lunch card, Small teams, International projects, Free coffee, Bike parking, Free beverages, Mobile phone, In-house trainings, Modern office, Startup atmosphere, No dress code.