Data Engineer - DBT
Posted 1 week ago by Square One Resources
£344 Per day
Inside
Onsite
Manchester, UK
Summary: The Data Engineer role focuses on leveraging expertise in DBT, Snowflake, and PL/SQL to enhance a growing data function. The position involves designing data models, optimizing performance, and ensuring data quality while collaborating with various stakeholders. This contract position is based in Manchester and requires on-site presence two days a week. The role is classified as inside IR35, with a competitive daily rate.
Key Responsibilities:
- Design and implement robust data models and transformation pipelines using DBT on Snowflake.
- Develop and maintain efficient PL/SQL code for complex data processing and transformation.
- Collaborate with analysts, data scientists, and stakeholders to deliver high-quality data solutions.
- Optimise Snowflake performance through query tuning, clustering, and resource management.
- Ensure data quality, integrity, and governance through testing, monitoring, and documentation.
- Support CI/CD pipelines and contribute to continuous improvement within the data team.
Key Skills:
- Proven experience in data engineering or a closely related field.
- Strong hands-on expertise with DBT (including modular SQL development, testing, and documentation).
- Proficiency in Snowflake, including data warehousing, performance tuning, and security.
- Advanced knowledge of PL/SQL with experience writing stored procedures, functions, and packages.
- Solid understanding of data modelling (star/snowflake schemas, normalisation).
- Experience with version control systems (eg, Git) and CI/CD practices.
- Familiarity with orchestration tools such as Airflow, dbt Cloud, or Prefect (desirable).
Salary (Rate): £344 Per Day
City: Manchester
Country: UK
Working Arrangements: on-site
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: IT
Job Title: Data Engineer (DBT, Snowflake, PL/SQL)
Location: Manchester - (Onsite 2 days per week)
Salary/Rate: £344 Per Day (PAYE Inside IR35)
Start Date: 03/11/2025
Job Type: Contract - Until 31/12/2025
We are seeking an experienced Data Engineer to support a growing data function. This is a great opportunity for someone with strong skills in DBT, Snowflake, and PL/SQL to contribute to high-impact data transformation and analytics projects.
Job Responsibilities/Objectives:- Design and implement robust data models and transformation pipelines using DBT on Snowflake.
- Develop and maintain efficient PL/SQL code for complex data processing and transformation.
- Collaborate with analysts, data scientists, and stakeholders to deliver high-quality data solutions.
- Optimise Snowflake performance through query tuning, clustering, and resource management.
- Ensure data quality, integrity, and governance through testing, monitoring, and documentation.
- Support CI/CD pipelines and contribute to continuous improvement within the data team.
Required Skills/Experience:
- Proven experience in data engineering or a closely related field.
- Strong hands-on expertise with DBT (including modular SQL development, testing, and documentation).
- Proficiency in Snowflake, including data warehousing, performance tuning, and security.
- Advanced knowledge of PL/SQL with experience writing stored procedures, functions, and packages.
- Solid understanding of data modelling (star/snowflake schemas, normalisation).
- Experience with version control systems (eg, Git) and CI/CD practices.
- Familiarity with orchestration tools such as Airflow, dbt Cloud, or Prefect (desirable).
If you are interested in this opportunity, please apply now with your updated CV in Microsoft Word/PDF format.
Disclaimer
Notwithstanding any guidelines given to level of experience sought, we will consider candidates from outside this range if they can demonstrate the necessary competencies.
Square One is acting as both an employment agency and an employment business, and is an equal opportunities recruitment business. Square One embraces diversity and will treat everyone equally. Please see our website for our full diversity statement.
