.We are STX Next, a global IT consulting company specializing in customer-focused software services. Join a group of 500 professionals dedicated to helping customers build outstanding products. Leveraging the latest advancements in the field, and a passion for innovation, we're shaping the future of technology one project at a time.Are you the NEXT one?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.ResponsibilitiesDevelop 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.RequirementsTechnical expertiseSolid experience in designing scalable data processing systems (including pipelines, advanced ETL processes, data warehouses, and lakes).Proficiency in Microsoft Azure and its data solutions.Strong SQL skills and experience with relational databases (MySQL, PostgreSQL).Familiarity with NoSQL databases (e.G., HBase, DynamoDB, MongoDB).Familiarity with data warehousing solutions (e.G., Snowflake, Databricks, BigQuery, 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.Extra points forKnowledge of message broker systems (e.G., Apache Kafka, AWS Kinesis)