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Data Engineer - Google Ecosystem

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Summary

Builds and maintains cloud-based data pipelines and models on Google Cloud Platform and BigQuery, integrating marketing data from ad platforms, Salesforce and APIs to power reporting and campaign insights for a large UK media agency. Hybrid London role (4 days in office), up to £60,000.

Data Engineer - London - Hybrid (Monday-Thursday in the office, Friday WFH) - Up to £60,000 DoE - J13194

Currently working with the UK's largest independent media agency to recruit an experienced Data Engineer to join their award-winning Insight, Analytics & Data team. This is an exciting opportunity to work with one of the industry's most respected agencies, helping to build cutting-edge cloud-based data solutions that enable clients to maximise the value of their marketing and customer data.

You'll play a key role within a specialist Data & Tech Solutions team, designing and maintaining scalable data pipelines, integrating data from multiple marketing platforms, and delivering high-quality data solutions that power reporting, campaign activation and business insights. This is a fantastic opportunity for someone who enjoys working at the intersection of data engineering, cloud technologies and marketing technology.

Key Responsibilities

  • Design, build and maintain cloud-based data solutions using Google Cloud Platform (with exposure to AWS and Azure).
  • Develop and manage ELT pipelines to ensure accurate, reliable and timely data delivery across multiple client projects.
  • Integrate data from advertising platforms, analytics platforms, Salesforce Marketing Cloud, Salesforce CRM and other third-party systems.
  • Build scalable data models and databases using Google BigQuery.
  • Support the delivery of best-in-class reporting and visualisation solutions using Looker or similar BI tools.
  • Manage client data integrations, ensuring correct platform access, validation and documentation throughout delivery.
  • Configure and work with APIs to integrate multiple marketing and business data sources.
  • Collaborate with internal teams, external partners and clients to deliver innovative data-driven marketing solutions.
  • Support AI-driven transformation initiatives and future-facing data projects across the agency.
  • Ensure data quality, troubleshoot issues and continuously improve existing engineering processes and workflows.

Required Skills

  • Commercial experience in a Data Engineering or Data Developer role.
  • Strong SQL and Python programming skills.
  • Hands-on experience with Google BigQuery and Google Cloud Platform.
  • Experience implementing cloud-based data solutions.
  • Experience integrating Salesforce Marketing Cloud and Salesforce CRM data.
  • Understanding of marketing platforms, campaign metrics and digital marketing KPIs.
  • Experience building and maintaining ELT/ETL pipelines.
  • Knowledge of APIs and integrating third-party data sources.
  • Experience with Looker, Tableau or Power BI.
  • Understanding of the AdTech/MarTech landscape.
  • Excellent stakeholder management, communication and project management skills.
  • Strong organisational skills with excellent attention to detail and the ability to manage multiple projects simultaneously.

Skills

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See also

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