Snowflake Migration Data Engineer – Manchester Onsite

Maxwell Bond

Manchester

On-site

GBP 65,000 - 101,000

Full time

17 hours ago
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Job summary

Maxwell Bond is seeking a hands-on Data Engineer to join an urgent project in Manchester, focusing on Snowflake migrations and a modern data platform build. The role emphasizes delivering scalable pipelines, orchestration workflows, and a robust transformation stack with Snowflake, dbt, Windmill, and Python.

The ideal candidate has strong commercial data engineering experience and is comfortable in a predominantly onsite setup, four days per week in Manchester, with a clear extension potential

Qualifications

  • Strong commercial experience as a Data Engineer.
  • Extensive hands-on experience with Snowflake.
  • Experience building and managing data pipelines and workflows using an orchestration tool.
  • Experience with dbt and modern data transformation practices.
  • Experience working on data migration or platform transformation projects.
  • Comfortable working onsite 4 days per week in Manchester.

Responsibilities

  • Supporting the build-out of a new data platform and system.
  • Working on a Snowflake migration project from an existing data environment.
  • Designing and developing data pipelines and transformation workflows.
  • Using Snowflake, dbt, Windmill and Python as the core technology stack.
  • Building and maintaining orchestration processes to support reliable data movement and transformation.
  • Working closely with other engineers and technical stakeholders to deliver the new platform.

Skills

Snowflake
dbt
Data pipelines
Orchestration tool
Python
Data migration

Tools

Windmill

Job description

Maxwell Bond is seeking a hands-on Data Engineer to join an urgent project in Manchester, focusing on Snowflake migrations and a modern data platform build. The role emphasizes delivering scalable pipelines, orchestration workflows, and a robust transformation stack with Snowflake, dbt, Windmill, and Python.

The ideal candidate has strong commercial data engineering experience and is comfortable in a predominantly onsite setup, four days per week in Manchester, with a clear extension potential

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