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Data engineer

London
Burns Sheehan
Data engineer
Posted: 4h ago
Offer description

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Location: One day a week central london

Type: Contract (6 months with possible extension)

Overview:

We are seeking an experienced Contract Data Engineer to support a strategic data platform migration project. The ideal candidate will play a key role in transitioning from an existing Redshift/Talend-based system to a modern data platform built on Snowflake, utilizing dbt and Fivetran for orchestration and transformation.

This is a hands-on role for someone who thrives in dynamic environments, can work independently, and has strong experience with cloud data platforms and data engineering best practices.

Responsibilities:

* Design, build, and optimize data pipelines to migrate legacy data processes from Amazon Redshift and Talend to Snowflake.
* Collaborate with data architects, analysts, and business stakeholders to understand data requirements and design effective migration strategies.
* Implement and manage data transformations using dbt (Data Build Tool).
* Integrate various data sources using Fivetran and ensure seamless ingestion into Snowflake.
* Ensure data integrity, quality, and performance throughout the migration and in the final Snowflake-based platform.
* Create and maintain documentation for data pipelines, workflows, and architecture.
* Support testing, validation, and go-live processes for the new data platform.

Required Skills & Experience:

* 4+ years of experience in data engineering roles, with strong expertise in Python.
* Hands-on experience with Snowflake architecture, performance tuning, and SQL development.
* Proven experience with data migrations, preferably from Redshift and/or Talend to modern cloud data platforms.
* Experience using dbt for transformation and Fivetran for data ingestion.
* Solid understanding of data modeling, ETL/ELT design patterns, and data governance principles.

Nice to Have:

* Experience with orchestration tools (e.g., Airflow).
* Familiarity with CI/CD pipelines and version control (e.g., Git).
* Experience in analytics engineering or close collaboration with analytics teams.


Seniority level

* Seniority level

Mid-Senior level


Employment type

* Employment type

Contract


Job function

* Job function

Information Technology and Finance
* Industries

IT Services and IT Consulting, Financial Services, and Technology, Information and Media

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