We’re looking for a Senior Data Engineer with 5+ years of experience to build and support reliable data pipelines and platforms.
You’ll own solutions end to end - from understanding requirements and designing the architecture to building pipelines, monitoring production, and improving performance.
What you’ll do
Build and maintain ETL/ELT pipelines from databases, APIs, and other sources
Design data models, analytical tables, and warehouse structures
Write clean Python and advanced SQL
Work with Airflow or similar orchestration tools
Build incremental loads, deduplication, and safe reprocessing workflows
Set up data quality checks, monitoring, and alerts
Improve pipeline performance and cloud costs
Troubleshoot production issues and improve reliability
Work closely with engineers, analysts, and business stakeholders
Document pipelines and technical processes
What we’re looking for
5+ years in Data Engineering with production pipeline experience
Strong Python and SQL skills
Solid ETL/ELT, data modeling, and data warehousing experience
Hands-on experience with Airflow or a similar tool
Experience with AWS, Azure, or GCP
Understanding of data quality, monitoring, testing, Git, and CI/CD
Ability to work independently and take ownership
Upper-Intermediate English or higher
Nice to have
Spark / PySpark
Databricks / Delta Lake / lakehouse
Kafka, CDC, or streaming
Terraform / Infrastructure as Code
🎁 What we offer
100% remote work
Flexible working hours
Competitive compensation
Paid vacation and sick leave
Health insurance / medical support
Professional development and learning opportunities
Friendly, supportive team and direct communication
Opportunity to work on challenging international projects
