Snowflake / Python Data Engineer (Contract) – London

Ref: JO-2601-358870

United Kingdom, London
Data, AI and Machine Learning, Technology
IT
1,000 - 4,999 Employee
£400.00 - £500.00 per day

Environment: Hybrid
Contract Type: Temporary
Starts: ASAP

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Snowflake / Python Data Engineer (Contract) – London – Outside of Ir35

Location: London (2 days onsite per week)
Contract: Outside IR35
Start: ASAP
Interview process: Fast (interviews taking place Monday)

Overview

We are looking for an experienced Senior Data Engineer to join a fast-moving engagement and play a key role in designing and delivering the first version of a modern Data Lakehouse.

This is a hands-on contract role with real ownership, covering Snowflake architecture, data modelling, pipeline development, and CI/CD. You’ll work closely with senior stakeholders and be trusted to shape core data foundations from day one.

Key Responsibilities

Define and own the Snowflake-based data architecture and core data models
Build foundational ETL / ELT pipelines ingesting data from internal systems and third-party sources
Design and implement reliable, scalable data pipelines using Python and SQL
Establish and maintain CI/CD workflows for data engineering and analytics assets
Deliver v1 of a Data Lakehouse to support BI, reporting, and compliance analytics
Ensure strong practices around data quality, reliability, and performance
Collaborate closely with technical and business stakeholders to translate requirements into robust data solutions

Required Skills & Experience

Proven experience as a Senior Data Engineer in production environments
Strong hands-on Snowflake experience (architecture, modelling, pipelines)
(please be clear on years and/or projects)
Strong Python and SQL
Experience with orchestration and transformation frameworks such as Airflow, dbt, Dagster, or similar
Experience designing and delivering data platforms or lakehouse-style architectures
Solid understanding of CI/CD for data engineering (e.g. GitHub Actions, Docker, IaC)
Comfortable working in fast-paced environments with a high degree of ownership