.**Hi there!**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?****Job description**: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**:**Technical expertise**- 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 (AWS, Azure, or GCP) 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).**Software development practices**- 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.**Soft skills**- Good communication skills in English (minimum B2)