Note: The job is a remote job and is open to candidates in USA. Harvey Nash is seeking a Data Movement Engineer with strong Snowflake and ETL experience to design, optimize, and support enterprise data pipelines. The role involves hands-on development, production support, and data architecture to ensure high data quality, performance, and reliability.
Responsibilities
- Design and optimize Snowflake data pipelines, models, and SQL queries
- Support ETL workflows, including monitoring, troubleshooting, and performance tuning
- Implement CDC, SCD Type 2, and Data Vault / dimensional models
- Perform root cause analysis for data issues and ensure data accuracy and integrity
- Manage data quality checks, validations, and reconciliations
- Support production systems (Snowflake, DB2, Airflow/ESP)
- Collaborate with stakeholders to deliver scalable data solutions
- Maintain documentation, runbooks, and support processes
Skills
- 5+ years in data engineering / data warehousing
- Strong Snowflake experience (development & data modeling)
- Advanced SQL + scripting (Python / Shell)
- Experience with ETL tools & orchestration (Airflow, ESP)
- Knowledge of CDC, SCD Type 2, Data Vault / dimensional modeling
- Familiarity with CI/CD, Git, ServiceNow/Jira
- Snowflake certification
- Experience with enterprise or real‑time data environments
Company Overview
We’re Harvey Nash, and we build amazing technology and digital teams. It was founded in 1988, and is headquartered in London, England, GBR, with a workforce of 5001-10000 employees. Its website is http://harveynash.com.