Data Engineer - Google Ecosystem

Datatech Analytics; City Of London; Hybrid; GBP 36,000 - 60,000; Full time

Job summary

Datatech Analytics in London is seeking an experienced Data Engineer to join a hybrid team in the Insight, Analytics & Data function. You will design and maintain cloud-based data pipelines, integrating data from marketing platforms and delivering scalable data solutions that power reporting and decision-making.

Key focus areas include ELT pipelines, data modelling in Google BigQuery, and leveraging Looker or similar BI tools.

Qualifications

• 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.

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.

Skills

SQL

Python

ELT/ETL pipelines

APIs

Stakeholder management

Tools

Google BigQuery

Google Cloud Platform

Looker

Tableau

Power BI

Job description

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.