Senior Snowflake Data Engineer - Hybrid London

Savantrecruitment

Greater London

Híbrido

GBP 80.000 - 110.000

Tempo parcial

há 44 horas
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Resumo da vaga

Savantrecruitment is seeking a Senior Data Engineer for a 6-month contract in London with hybrid working. You will design, develop and deliver robust data solutions using Snowflake, SQL, DBT, Python and FastAPI, engaging with senior business and technology stakeholders.

The role requires hands-on execution from requirements through testing to delivery, with a focus on scalable, well-tested data pipelines. You will collaborate with data platform teams and optimise performance on large datasets,

Qualificações

  • Hands-on development with Snowflake, SQL, DBT and Python.
  • Experience with DevOps, automated deployments and source control.
  • Experience with Azure Data Factory and data integration.
  • Experience delivering well-structured, thoroughly tested software.
  • Familiarity with Test-Driven Development (TDD).

Responsabilidades

  • Own solutions from requirements through development, testing and delivery.
  • Design and deliver robust, scalable data pipelines.
  • Engage with senior stakeholders across business and technology.
  • Ensure data solutions are well-documented and maintainable.
  • Collaborate with data platform teams to optimise performance on large datasets.

Conhecimentos

Snowflake
SQL
DBT
Python
FastAPI
DevOps practices
Test-driven development
Agile delivery
Stakeholder engagement
Performance tuning

Ferramentas

Azure DevOps
Octopus Deploy
Git
Azure Data Factory
Salesforce
Backbase
Temenos

Descrição da vaga

Savantrecruitment is seeking a Senior Data Engineer for a 6-month contract in London with hybrid working. You will design, develop and deliver robust data solutions using Snowflake, SQL, DBT, Python and FastAPI, engaging with senior business and technology stakeholders.

The role requires hands-on execution from requirements through testing to delivery, with a focus on scalable, well-tested data pipelines. You will collaborate with data platform teams and optimise performance on large datasets,

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