SonicJobs Logo
Login
Left arrow iconBack to search

Data Engineer - Leading Fashion Company - London

Noir
Posted 2 days ago, valid for 6 days
Location

London, Greater London EC1R 0WX

Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

info
  • A leading fashion brand in London is seeking a Data Engineer to join their growing data team.
  • The role requires 3+ years of experience in Data Engineering and proficiency in Python and SQL.
  • Candidates should have hands-on experience with Google Cloud Platform (GCP) services and a solid understanding of ETL and data modeling principles.
  • The position offers a competitive salary range of £40,000 - £50,000, along with bonuses and benefits.
  • This opportunity allows for flexible hybrid working and the chance to work with a globally recognized brand in a collaborative environment.

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
  • Cloud Storage
  • 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

Salary: £40,000 - £50,000 + Bonus + Pension + Benefits

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.

NOIRUKTECHREC

NOIRUKREC

NC/RG/DE

Apply now in a few quick clicks

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.