Senior Data Engineer

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.

Zakres obowiązków

• 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.

Wymagania

• 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
• Very good communication skills in English (min. B2 level)
  
• AI native mindset

Tech stack

• Python
• SQL
• Data engineering
• AWS
• Azure
• dbt
• Apache Airflow
• Snowflake
• Databricks
• Apache Iceberg
• English