Tech Stack

Description

You will design, build, and maintain scalable data platforms, pipelines, and warehouses using SQL, Python, and Spark. Collaborate with data scientists and stakeholders to translate business needs into data engineering solutions, ensuring high performance, data quality, and compliance.

Requirements

• 6+ years commercial experience in data engineering at senior level
• Extensive hands-on experience in SQL, Python, and Spark for large-scale data processing
• Strong expertise in data warehousing (e.g., Snowflake, Redshift, BigQuery)
• Experience with cloud-based data solutions (AWS, Azure, GCP) and data lake architectures
• Professional proficiency in English and valid passport for travel

Responsibilities

• Design, build, and optimize data pipelines and ETL processes for large-scale data ingestion
• Develop and maintain data platforms and warehousing solutions for analytics and BI
• Implement scalable data storage solutions ensuring high availability and performance
• Ensure data quality, governance, and compliance across all systems
• Support CI/CD for data pipeline deployments and DevOps best practices