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Technologies-expected : My SQL Postgre SQL SQL Dynamo DB Mongo DB Snowflake Data Cloud Python technologies-optional : AWS Elasticsearch Kafka about-project : At STX Next, Data Engineers are creative problem-solvers who thrive at the intersection of data, innovation, and technology. Our approach to challenges is both collaborative and inventive, driven by the belief that every obstacle has a solution. You’ll join a dedicated team that transforms data into valuable systems, addressing clients needs and elevating the experience for end users. As a Data Engineer, you’ll work closely with international clients, providing both consultancy and technical architecture to shape reliable, high-performance data solutions. You’ll handle everything from large data sets to distributed systems, setting a high bar for data quality. If you’re excited by complex problems and want to contribute to a collaborative culture of craftsmanship, STX Next offers the platform to bring your ideas to life. responsibilities : Develop innovative solutions for complex data challenges, using creativity and technology. Design and build data systems that fulfill client requirements and optimize user experience. Collaborate across teams to integrate unique approaches and out-of-the-box thinking into problem-solving. Serve as a trusted consultant and architect for customized data solutions for global clients. Handle large-scale data processing and manage distributed systems to ensure reliability and performance. Uphold high standards of data quality and refine approaches to align with best practices. Foster a culture of collaboration, craftsmanship, and continuous improvement. requirements-expected : Solid experience in designing scalable data processing systems (including pipelines, advanced ETL processes, data warehouses, and lakes). Proficiency in at least one major cloud platform (a strong preference for Azure, alternatively AWS or GCP) and its data solutions. Strong SQL skills and experience with relational databases (My SQL, Postgre SQL). Familiarity with No SQL databases (e.g., HBase, Dynamo DB, Mongo DB). Familiarity with data warehousing solutions (e.g., Snowflake, Databricks, Big Query, Redshift). Understanding of distributed data processing systems (e.g., Apache Spark, Apache Flink). Proficiency in Python 3.x or Scala, with knowledge of advanced Python constructs (e.g., lambda functions, generators, list comprehensions). Core understanding of object-oriented programming principles. Experience with threading and multi-process computation. Familiarity with Git for version control and Docker for containerization. Good communication skills in English (minimum B2). A passion for continuous learning and embracing new technologies. Strong problem-solving skills and analytical thinking. offered : Work-life balance: We are open to discussing individual needs. Set up working hours and limited remote work scheduled with your team and manager, in a way that works for both sides. Reimbursed private medical care (Medicover) and Multisport: We care about the health and well-being of our colleagues. Choose a sports card and dedicated medical care for yourself and your relatives. Leader’s support: Work with true enthusiasts and professionals who will support you along the way. You can count on leaders and experts who are willing to share their knowledge so that you too can join their ranks someday. Technology focus: Python and Java Script are not our only strengths, we are also very good at React Native, Io T, Machine Learning,. Net, Dev Ops and Blockchain. Growth review: Junior, Regular or Senior? Every year we have a chance to discuss acquired skills and prepare a development plan for upcoming months. Events: Attend exciting internal webinars, celebrate special days with us, and join us at conferences and meetups as a listener or speaker! Workation: Team trips where you have a chance as a team not only to work together, but also integrate f2f. benefits : sharing the costs of sports activities private medical care life insurance remote work opportunities flexible working time integration events computer available for private use corporate library no dress code video games at work coffee / tea drinks parking space for employees leisure zone