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Data Engineer (6 month FTC)

La Fosse

London

Hybrid

GBP 65,000

Today
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Job summary

An innovative wellness company is seeking a talented Data Engineer for a 6-month fixed-term contract. In this dynamic role, you'll enhance data quality and support analytics teams by building scalable data solutions. Collaborating closely with the Data Science & Analytics Director, you'll aggregate and structure data from diverse sources, develop ETL applications, and maintain robust data pipelines. This position offers a hybrid working model, allowing you to balance time in the office with remote work. Join a team dedicated to transforming data into valuable insights and enjoy generous holiday allowances and social activities.

Benefits

25 days holiday + extra days for service

Death in service benefit from day 1

Monthly socials

Early finish Fridays

Qualifications

  • Experience in Data Engineering, preferably in retail/customer services.
  • Advanced SQL skills and proficiency in Python and bash.

Responsibilities

  • Aggregate and structure raw data from multiple sources.
  • Design, develop, and support ETL applications and data pipelines.

Skills

Data Engineering

SQL

Python

bash

Google Cloud Platform

Git

Gitflow

Data management

Data modeling

Shopify

Tools

ETL applications

data pipelines

Job description

Job Title: Data Engineer (6-Month FTC)
Industry: Wellness
Location: London (Hybrid Working: 4 days in office, 1 day remote)
Contract Length: 6 months Fixed-Term Contract
Working Hours: Full-time
Salary: £65,000 per year

LaFosse are partnering with a fast-growing wellness company to find a talented Data Engineer for a 6-month contract.

Role Overview:
As a Data Engineer, you'll focus on improving data quality and supporting analytics teams. You'll work closely with the Data Science & Analytics Director to build scalable data solutions in a dynamic, fast-paced environment.

Key Responsibilities:

  • Aggregate and structure raw data from multiple sources (APIs, GraphQL, data scraping).

  • Design, develop, and support ETL applications.

  • Build and maintain data pipelines (robust, scalable, and future-proof).

  • Ensure data quality and collaborate with IT for accuracy.

  • Support software integration for seamless data flow.

  • Prepare data for prescriptive and predictive modeling.

Skills & Experience:

  • Experience in Data Engineering (preferably retail/customer services).

  • Advanced SQL and relational databases.

  • Proficient in Python and bash.

  • Familiar with cloud platforms (Google Cloud Platform preferred).

  • Strong Git and Gitflow knowledge.

  • Data management and modeling expertise.

  • Ability to work independently and meet deadlines.

  • Shopify and shell scripting experience a plus.

Benefits:

  • Hybrid work: 4 days in office, 1 day remote.

  • 25 days holiday + extra days for service.

  • Death in service benefit from day 1.

  • Monthly socials and early finish Fridays.

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