Data Engineer

Data Engineer

London - Hybrid (3 days) - £50,000 - £60,000

Company

Our client is a London-based company specialising in advertising and audience measurement. They provide independent, high-quality audience metrics and insights from advertising campaigns, leveraging multi-year datasets including telco and movement data. Working with major industry partners, the organisation focuses on delivering accurate, actionable insights for the out-of-home advertising sector, supported by a small, close-knit team.

Responsibilities

As a Data Engineer, you will be a key contributor to building and maintaining the company's data infrastructure. Responsibilities include:

• Build, manage, and maintain data pipelines across GCP and on-prem Proxmox environments
• Ingest and manage new datasets, including ongoing feeds from Ipsos
• Ensure reliable, GDPR-compliant delivery of data to analysts and researchers
• Load and manage data in PostgreSQL and BigQuery
• Develop and support API-based data ingestion pipelines
• Manage and optimise cloud and on-prem infrastructure for reliability and efficiency
• Perform Linux and networking tasks related to on-prem systems
• Support ad-hoc and exploratory data projects as required

Requirements

• 2+ years commercial experience in data engineering or related roles
• Hands-on experience with GCP and Terraform
• Strong Python and SQL skills
• Working knowledge of Linux environments and basic networking
• Interest in data engineering, infrastructure, and understanding data flow
• Comfortable working in a small, collaborative team and taking initiative

Nice-to-have

• Exposure to data science concepts
• Curiosity about how data is used across a business
• Experience with Proxmox or similar virtualization environments

Benefits

• Competitive salary: £50-60K
• Work from the London office (3 days/week) with flexibility for remote working
• Opportunity to work in a small, highly collaborative team with direct impact
• Exposure to cloud and on-prem infrastructure, building end-to-end data pipelines
• Professional development and opportunities to grow within the company