Senior Data Engineer

Data Engineers at STX Next are creative problem-solvers who thrive at the intersection of data, innovation, and technology. They work closely with international clients to provide both consultancy and technical architecture for reliable, high-performance data solutions.

• 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 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 data quality standards and refine approaches to align with best practices.
• Foster a culture of collaboration, craftsmanship, and continuous improvement.

Minimum 7 years of experience in Data Engineering. Strong background in designing and implementing scalable data processing systems (pipelines, ETL processes, data warehouses, and data lakes). Hands-on experience with implementing data warehousing solutions like Snowflake, Databricks or Apache Iceberg. Strong background and at least 3 years of hands on experience in either AWS or Azure data engineering services. Practical experience with dbt for data transformation. Strong SQL skills and experience with relational databases. Familiarity with Apache Airflow for workflow orchestration. Proficiency in Python for data engineering tasks. Strong problem-solving and analytical thinking abilities. Good communication skills in English (minimum B2 level).