Senior Data Engineer

Responsibilities

• Design, build, and optimize scalable data pipelines using Python, SQL, DBT, and Apache Airflow
• Develop and manage DBT models and ensure reliable workflow orchestration in Airflow
• Monitor and maintain Snowflake platform performance, availability, and cost efficiency
• Troubleshoot and resolve issues across data ingestion, transformation, and pipelines
• Implement and maintain end-to-end data quality testing and validation frameworks
• Automate deployments and workflows using GitLab CI/CD and support release processes
• Document architecture and best practices while contributing to technical design and mentoring

Requirements

• 7+ years of proven experience as a Senior Data Engineer
• Hands-on experience with Snowflake (preferred) or Databricks/Oracle
• Solid experience with DBT for data modeling and transformation
• Experience with cloud platforms, specifically AWS (preferred) or Azure
• Strong SQL skills with advanced query writing and optimization capabilities
• Strong Python skills for data processing and automation
• Experience with Apache Airflow for workflow orchestration
• Basic CI/CD knowledge using GitLab or similar tools
• English proficiency at a C1 Advanced level

Preferred Qualifications

• Experience with Terraform and Infrastructure as Code (IaC)
• Experience with Kafka for event streaming and messaging

About the Company

Luxoft is a leading global provider of software engineering services, working with clients to build secure, scalable, and highly available cloud platforms. We specialize in delivering strategic data and reporting solutions for major financial markets infrastructure providers.