Data Engineer

Description:

Data Engineer

Location: London (Hybrid - Remote First)

Shape the future of audio analytics at a global media giant by building scalable data platforms, standardised infrastructure and cutting-edge frameworks that power smarter audience insight, stronger engagement, and high-impact digital experiences across multiple international markets.

The Opportunity

This opportunity offers the chance to join a global media organisation as it modernises and elevates its audio data capabilities. You'll play a key role in building unified data platforms and standardised infrastructure that will be used across multiple international markets. Central to the role is creating robust pipelines and analytics layers that enable deeper audience insights and more impactful digital engagement.

Working within a small, forward-thinking engineering team, you'll act as part of an internal consultancy driving best practice across the business. It's a chance to influence architecture, shape frameworks from the ground up, and directly enhance everything from competitions to large-scale campaign performance.

Role and Responsibilities

In this role, you'll build and maintain robust data pipelines using Python and SQL to ensure clean, reliable, and well-structured data. You'll design and optimise workflows using tools such as Airflow and dbt to support scalable, high-quality analytics layers. You'll help architect and evolve cloud-based data platforms across technologies like BigQuery, Redshift, and Terraform.

You'll contribute to creating a standardised, self-serve data infrastructure that can be adopted across multiple international teams. You'll also work closely with engineers and stakeholders to validate data quality, improve processes, and drive best-practice engineering across Kubernetes-based environments.

Interview Process

• Introductory Conversation - Discussing Experience and CV
• Technical Test
• Culture Fit Conversation