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Snowflake​/Python Data Engineer

Job in London, Greater London, W1B, England, UK
Listing for: Salt Digital Recruitment
Contract position
Listed on 2026-06-04
Job specializations:
  • IT/Tech
    Data Engineer, Data Science Manager, Data Warehousing
Salary/Wage Range or Industry Benchmark: 80000 - 100000 GBP Yearly GBP 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Snowflake / Python Data Engineer (Contract

Position

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
  • 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. Git Hub Actions, Docker, IaC)
  • Comfortable working in fast‑paced environments with a high degree of ownership
Nice to Have
  • Experience in regulated or compliance‑heavy environments
  • Exposure to BI and analytics use cases
  • Cloud experience (AWS and/or Azure)
Contact

Please do send an up to date CV to  Rates depend on experience and client requirements.

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