Data Engineer - Leading Fashion Company - London

TN United Kingdom; London; Hybrid; GBP 40,000 - 80,000; Full time

Job summary

An established industry player in the fashion sector is seeking a skilled Data Engineer to join their innovative data team. This role offers the chance to work with a modern tech stack, including Google Cloud Platform, and play a crucial part in shaping data-driven strategies. You'll be responsible for building reliable data pipelines and collaborating with various teams to ensure data flows securely. If you're passionate about data engineering and want to contribute to a globally recognized brand, this opportunity is perfect for you.

Benefits

Competitive salary and benefits package

Flexible hybrid working

Collaborative tech-forward environment

Strong culture of innovation

Qualifications

• 3+ years of experience in Data Engineering roles.
• Strong skills in Python and SQL for data processing.
• Hands-on experience with GCP services.

Responsibilities

• Design and maintain robust data pipelines.
• Collaborate with teams to ensure data quality.
• Implement data models and ETL processes.

Skills

Python

SQL

ETL

Data Warehousing

Data Modelling

Analytical Skills

Problem-Solving Skills

Communication Skills

Teamwork

Tools

GCP

Terraform

Git

Cloud Composer

BigQuery

Dataflow

Pub/Sub

Cloud Functions

Job description

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Data Engineer - Leading Fashion Company - London, London

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Client:

Location:

London, United Kingdom

Job Category:

-

EU work permit required:

Yes

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Job Reference:

8c6572c6f8db

Job Views:

14

Posted:

08.05.2025

Expiry Date:

22.06.2025

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Job Description:

Data Engineer - Leading Fashion Company - London

(Tech Stack: Data Engineer, Databricks, Python, Power BI, AWS QuickSight, AWS, TSQL, ETL, Agile Methodologies)

We're recruiting on behalf of a leading fashion brand based in London that's recognised for combining creativity with cutting-edge technology. They're on the lookout for a talented Data Engineer to join their growing data team. This is a fantastic opportunity to work with a household name and play a key role in shaping data-driven decisions across the business.

The Role

As a Data Engineer, you'll be responsible for building and maintaining scalable, efficient, and reliable data pipelines. You'll work across a modern tech stack with a strong focus on Google Cloud Platform (GCP) and collaborate with various teams to ensure data flows securely and accurately throughout the organisation.

Key Responsibilities

• Design, build, and maintain robust data pipelines.
• Work with Python and SQL for data processing, transformation, and analysis.
• Leverage a wide range of GCP services including:
• Cloud Composer (Apache Airflow)
• BigQuery
• Dataflow
• Pub/Sub
• Cloud Functions
• IAM
• Design and implement data models and ETL processes.
• Apply infrastructure-as-code practices using tools like Terraform.
• Ensure data quality and compliance with governance standards.
• Collaborate with data analysts, scientists, and stakeholders to deliver clean, usable data.
• Use Git for version control and collaborative development.

What We're Looking For

• 3+ years' experience in Data Engineering roles.
• Strong skills in Python and SQL.
• Hands-on experience with GCP, particularly the services listed above.
• Solid understanding of ETL, data warehousing, and data modelling principles.
• Familiarity with Terraform or similar infrastructure-as-code tools.
• Knowledge of data governance and data quality management.
• Experience with version control systems like Git.
• Excellent analytical and problem-solving skills.
• Strong communication and teamwork abilities.

What's in It for You?

• Competitive salary and benefits package
• Flexible hybrid working (London HQ)
• Work for a globally recognised fashion brand
• Collaborative, tech-forward environment with a strong culture of innovation

Location: London/Remote Working UK

Applicants must be based in the UK and have the right to work in the UK even though remote work is available.

To apply for this position please send your CV to Matt Jones at Noir.