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.

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:

• Strong experience in designing scalable data processing systems (pipelines, ETL, data warehouses, and lakes).
• Proficiency in GCP, especially BigQuery.
• 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.

Soft Skills:

• Good communication skills in English (minimum B2).
• Strong problem-solving and analytical thinking.

Originally posted on