Data Engineer

Tasks:

• Design and implementation of scalable hub-and-spoke data architectures
• Processing and analysis of large datasets in Google Cloud (BigQuery)
• Development and optimization of ETL/ELT pipelines (including CDC and SCD Type 1/2)
• Building near real-time data pipelines
• Implementation of infrastructure as code (Terraform)
• Ensuring data quality, performance, and scalability
• Collaboration with data and platform teams

Requirements:

• 3–5 years of experience as a Data Engineer or in a similar role
• Strong expertise in:
• Google Cloud (BigQuery)
• SQL and Dataform
• ETL/ELT processes (CDC, SCD Type 1/2)
• Experience with:
• Terraform (Infrastructure as Code)
• Streaming technologies (Pub/Sub, Dataflow, Apache Beam)
• Python and ideally Java
• Experience handling large datasets and cloud-based architectures
• Structured and independent working style

 Project details:

• Start: April 2026
• Duration: 6 months
• Workload: Full-time
• Location: 100% remote