Summary: The role of Snowflake Data Engineer involves leading a significant data migration project aimed at modernizing the data platform by transferring enterprise data workloads from Google Cloud Platform to Snowflake. The candidate will collaborate with various stakeholders to design, build, and optimize data pipelines while ensuring data quality and governance. This position requires extensive experience in data engineering and proficiency with Snowflake and GCP tools. The successful candidate will contribute to achieving scalable and high-performance data solutions.
Key Responsibilities:
- Design, build, optimize, and support data pipelines for data migration.
- Ensure data quality, governance, and operational excellence throughout the migration lifecycle.
- Collaborate with data architects, business stakeholders, and engineering teams.
- Migrate enterprise data workloads from Google Cloud Platform to Snowflake.
Key Skills:
- 5+ years of experience in Data Engineering.
- 3+ years of hands-on experience with Snowflake.
- Strong experience migrating enterprise data platforms to Snowflake.
- Experience working with Google Cloud Platform, including BigQuery, Cloud Storage, Cloud SQL, Dataflow, and Pub/Sub.
- Strong SQL development and query optimization skills.
- Experience developing ELT pipelines using tools such as dbt, Matillion, Informatica, or Fivetran.
- Strong Python programming skills for automation and data engineering.
- Experience with orchestration tools such as Apache Airflow.
- Experience implementing CI/CD pipelines using Git, Azure DevOps, or Jenkins.
- Good understanding of dimensional modelling, data warehousing, and modern data architecture.
- Experience with data quality, lineage, metadata management, and governance.
- Familiarity with Agile delivery methodologies.
Salary (Rate): £450/Day
City: London
Country: UK
Working Arrangements: undetermined
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: IT
Job Description
We are seeking an experienced Snowflake Data Engineer to join a high-impact data migration project focused on modernizing our data platform. The successful candidate will play a key role in migrating enterprise data workloads from Google Cloud Platform (GCP) to Snowflake, ensuring scalable, secure, and high-performance data solutions.
Working closely with data architects, business stakeholders, and engineering teams, you will design, build, optimize, and support data pipelines while ensuring data quality, governance, and operational excellence throughout the migration lifecycle.
Required Skills & Experience
- 5+ years of experience in Data Engineering.
- 3+ years of hands-on experience with Snowflake.
- Strong experience migrating enterprise data platforms to Snowflake.
- Experience working with Google Cloud Platform, including:
- BigQuery
- Cloud Storage (GCS)
- Cloud SQL
- Dataflow (desirable)
- Pub/Sub (desirable)
- Strong SQL development and query optimization skills.
- Experience developing ELT pipelines using tools such as dbt, Matillion, Informatica, Fivetran, or similar.
- Strong Python programming skills for automation and data engineering.
- Experience with orchestration tools such as Apache Airflow or similar.
- Experience implementing CI/CD pipelines using Git, Azure DevOps, GitHub Actions, or Jenkins.
- Good understanding of dimensional modelling, data warehousing, and modern data architecture.
- Experience with data quality, lineage, metadata management, and governance.
- Familiarity with Agile delivery methodologies.