Summary: The Data Engineer role requires a candidate with over 5 years of experience in building and optimizing ETL/ELT pipelines using Snowflake, DBT, Python, and AWS. The position involves collaborating with data teams to ensure data quality and implementing data transformation workflows. The role is hybrid, based in Cambridge or Luton, and is for a duration of 6 months.

Key Responsibilities:

• Design, build, and optimize ETL/ELT pipelines using DBT and Snowflake.
• Implement data transformation workflows using DBT (core/cloud).
• Utilize Python for automation and data processing tasks.
• Perform SQL performance tuning and query optimization using Snowflake.
• Troubleshoot and optimize DBT models and Snowflake performance.
• Ensure data quality, reliability, and consistency across environments.
• Collaborate with data engineers, analysts, and business stakeholders to understand data needs.
• Utilize CI/CD and version control tools (Git).
• Experience with orchestration tools such as Airflow.

Key Skills:

• Strong experience with Snowflake, DBT, Python, and AWS.
• Proficiency in SQL performance tuning and query optimization.
• Strong analytical and problem-solving skills.
• Experience in agile development environments.
• Knowledge of CI/CD and version control tools (Git).
• Experience with orchestration tools like Airflow.
• Certification in AWS, Snowflake, or DBT is a plus.

Salary (Rate): undetermined

City: Cambridge

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT