Senior Data Engineer

STX Next is a company where Data Engineers work at the intersection of data, innovation, and technology, collaborating to transform data into valuable systems that address clients' needs and improve end-user experience. The role involves working closely with international clients, providing consultancy and technical architecture to create reliable, high-performance data solutions.

• 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 data warehousing solutions like Snowflake, Databricks, or Apache Iceberg.
• At least 3 years of hands-on experience with 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.
• Very good communication skills in English (minimum B2 level).
• AI native mindset.

• 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.