Data Engineer (DBT, Snowflake, PL/SQL)

Data Engineer (DBT, Snowflake, PL/SQL)

Posted 1 day ago by GIOS Technology

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Negotiable
Undetermined
Hybrid
Manchester, England, United Kingdom
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Airflow Apache Airflow Cloud Computing Cloud Technology Continuous Integration and Continuous Delivery Data Engineering Datamodel Data Modeling Data Warehousing Git (Version Control System) PL/SQL Snowflake (Data Warehouse) SQL (Programming Language) Version Control Workflows

Summary: The role of Data Engineer focuses on utilizing DBT, Snowflake, and PL/SQL to enhance data engineering and warehousing capabilities. The position requires a hybrid working arrangement with 2-3 days per week in the office in Manchester. Candidates should possess proven expertise in modular SQL development and data modeling, along with experience in performance optimization and security best practices. Familiarity with version control systems and orchestration tools is also essential for this role.

Key Responsibilities:

  • Utilize DBT for modular SQL development, testing, and documentation.
  • Implement and optimize data warehousing solutions using Snowflake.
  • Write and optimize PL/SQL stored procedures, functions, and packages.
  • Develop data models, including star/snowflake schemas and normalization.
  • Manage version control using Git and CI/CD workflows.
  • Work with orchestration tools such as Airflow, dbt Cloud, or Prefect.

Key Skills:

  • Data engineering
  • Data warehousing
  • SQL
  • Airflow
  • Snowflake
  • Banking

Salary (Rate): undetermined

City: Manchester

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

I am hiring for Data Engineer (DBT, Snowflake, PL/SQL) Location: Manchester - Hybrid / 2-3 days Per Week in Office Experience in data engineering, data warehousing, or a related field. Proven expertise with DBT, including modular SQL development, testing, and documentation. Strong proficiency with Snowflake, including data warehousing concepts, performance optimization, and security best practices. Advanced skills in PL/SQL, including writing and optimizing stored procedures, functions, and packages. Solid foundation in data modeling (e.g., star/snowflake schemas, normalization). Hands-on experience with version control systems (Git) and CI/CD workflows. Familiarity with orchestration tools such as Airflow, dbt Cloud, or Prefect Key Skills: Data engineering / Data warehouse / SQL / Airflow / Snowflake / Banking

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