Data Engineer - GCP

WPP Media Limited; Greater London; Hybrid; GBP 65,000 - 95,000; Full time

Benefits offered by this job

Hybrid work model

Medical insurance

Pension plan

Vision & dental

Paid time off

Employee discounts

Mental health days

Job summary

WPP Media Limited in London is hiring a Data Engineer to design, build, and maintain robust data pipelines and analytics-ready datasets. You will work with GCP (BigQuery, Cloud Storage) and Snowflake, using DBT for modular models and Python for scripting.

The role emphasizes data quality, governance, and collaboration with analytics, product, and engineering teams in an Agile environment. Hybrid office model in the UK is expected.

Qualifications

• Production-grade data pipelines and ETL/ELT processes experience.
• Strong SQL skills for complex transformations and analytics.
• Experience with cloud data platforms (GCP) and services like BigQuery/Cloud Storage.
• Experience with DBT for modular data models and testing.
• Solid understanding of data modelling, warehousing, and integration techniques.
• Python proficiency for scripting and pipeline development.
• Familiarity with advertising data (Google Ads, Facebook Ads) is a plus.
• Excellent collaboration and agile development experience.

Responsibilities

• Design, build, and maintain scalable data pipelines and infrastructure using GCP and Snowflake.
• Develop, test, and deploy data transformation logic with SQL and DBT.
• Collaborate with analytics, product, and engineering teams to translate data requirements into specs.
• Enforce data quality, governance, and documentation across datasets.
• Contribute to data engineering roadmap and key projects.
• Monitor data pipelines for performance, freshness, and reliability.
• Expose data via APIs and support BI tools like Power BI.
• Provide robust, long-term data solutions and participate in code reviews.

Skills

SQL

Python

GCP BigQuery

DBT

Data modelling

Data warehousing

Data integration

Power BI

Agile

Tools

Snowflake

Airflow

Job description

WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world‑class partnerships – all united by ourpioneeringagentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth.

WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working.

We are looking for a skilled and motivated Data Engineer to join our global team. You are a hands‑on builder who is passionate about creating robust, scalable data solutions that solve real-world problems. You will be a key contributor to the team, responsible for designing, developing, and maintaining the data pipelines and infrastructure that are the foundation of our analytics products. In return providing value to our clients.

Working closely with the VP of custom reporting and other engineers in the team, you will execute the technical roadmap, transforming complex business requirements into high-quality, reliable data assets. If you thrive on turning massive datasets into actionable intelligence and enjoy working with cutting‑edge cloud technologies, this role is for you.

KEY RESPONSIBILITIES

• Design, build, and maintain scalable and reliable data pipelines and infrastructure, primarily using Google Cloud Platform (GCP) services like BigQuery and Cloud Storage, and Snowflake.
• Develop, test, and deploy data transformation logic using SQL and DBT (data build tool) to create clean, reliable, and performant data models.
• Collaborate with analytics, product, and engineering teams to understand data requirements and translate them into technical specifications.
• Implement and uphold data quality and governance processes to ensure the accuracy, consistency, and integrity of our datasets.
• Contribute to the execution of the data engineering roadmap by delivering on key initiatives and projects.
• Develop and maintain monitoring for data pipeline performance, identifying and resolving issues to ensure data availability and freshness.
• Optimize data pipelines and queries for performance, scalability, and cost-effectiveness.
• Support data consumers by exposing data through APIs and supporting integrations with analytics and visualization tools like Power BI.
• Create and maintain technical documentation for data pipelines, models, and processes to support product adoption and team knowledge sharing.
• Contribute to a collaborative team environment, participating in code reviews and sharing your expertise with fellow engineers.

Skills and Experience

• Proven experience as a Data Engineer, with a track record of building and maintaining production-level data pipelines and ETL/ELT processes.
• Strong proficiency in SQL and experience with data manipulation languages for complex data transformation and analysis.
• Hands‑on experience with cloud data platforms, ideally Google Cloud Platform (GCP), including services like BigQuery and Cloud Storage.
• Experience with DBT (data build tool) for building modular, scalable, and testable data models, or equivalent.
• Strong understanding of data modelling concepts, data warehousing principles, and data integration techniques.
• Proficiency with a programming language such as Python for scripting and data pipeline development.
• Digital advertising familiarity: An understanding of campaign data from platforms like Google Ads, Facebook Ads, or DSPs is a strong plus.
• Analytical mindset and problem‑solving skills: You can troubleshoot complex data issues and develop robust, long‑term solutions.
• Excellent collaboration skills: You can communicate effectively and work well in a team‑oriented environment with various technical and non‑technical stakeholders.
• Experience working in an Agile development environment.
• Experience supporting data visualization tools (e.g., Power BI) is desirable.

Life at WPP Media & Benefits

Our passion for shaping the next era of media is powered by our commitment to Be Extraordinary, investing in our employees to inspire transformational creativity. We also Lead Optimistically,firmly believingin and Championing Growth and Development for every individual. This commitment allows WPP Media employees to leveragethe extensive global WPP Media & WPP networks to pursue their passions, build vital professional connections, and learn at thecutting edgeof marketing and advertising.

We Create an Open environment built on trust and respect, where everyone feels they belong and has opportunities to progress. This inclusive culture is fostered through a variety of employee resource groups and frequent in‑office eventsshowcasingteam wins, sharing thought leadership, and celebrating holidays and milestone events. Our comprehensive benefits package reflects this commitment, including competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We believe the best work happens whenwe'retogether, fostering creativity, collaboration, and connection in this open and supportive environment. That's why we've adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. Please note that while our philosophy is the same across WPP, benefits may vary by office/country.

Please note this is a UK based role and requires individuals to have the right to work in this location

While we appreciate all applications received, only those candidates selected for an interview will be contacted.

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