At a Glance
- Tasks: Design and develop innovative data solutions for diverse clients using cutting-edge technology.
- Company: Join WPP, a leader in creative transformation and data-driven marketing.
- Benefits: Enjoy competitive pay, health benefits, generous time off, and mental health support.
- Other info: Collaborative hybrid work environment with excellent career growth opportunities.
- Why this job: Make a real impact by transforming marketing with data and creativity.
- Qualifications: Experience in data engineering and proficiency in SQL and cloud platforms.
The predicted salary is between 60000 - 80000 £ per year.
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 our pioneering agentic 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.
WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities.
About WPP Media Data, Technology and Analytics (DTA): A Leading WPP Media Brand. DTA is WPP’s global data products and technology arm. We’re on a mission to transform marketing by building the fastest, most connected data platform that bridges marketing strategy to scaled activation.
We work with agencies and clients to transform the value of data by bringing together technology, data and analytics capabilities. We deliver this through the Open Media Studio, an AI-enabled media and data platform for the next era of advertising.
We’re endlessly curious. Our team of thinkers, builders, creators and problem solvers are over 1,000 strong, across 20 markets around the world.
Role Summary and Impact
As a Data Engineer, you will be a hands‑on technical contributor within the Data, Technology & Analytics team, responsible for designing, developing, and automating robust data solutions for our diverse client base. You will play a critical role in building and maintaining the data infrastructure that powers our insights and analytics.
You will work extensively with the Measure data platform – a unified system for data connection, ingestion, transformation, and reporting – built on a robust technology stack including Adverity, GCP, and PowerBI. This role involves actively contributing to client projects that aggregate diverse data sources into a single, unified view, ensuring data integrity and consistency to enable comprehensive insights and custom visualisations. You will apply and help champion data engineering best practices throughout the data lifecycle.
Responsibilities
- Develop Data Solutions: Design, build, and implement robust data engineering solutions and data pipelines within the DTA team, ensuring high standards for data quality, reliability, and performance.
- Data Pipeline & Transformation: Develop, maintain, and optimise efficient, scalable, and reliable data pipelines (ETL/ELT) for ingesting, transforming, and loading diverse data sources into our data platforms, primarily BigQuery.
- Platform Expertise: Work with and contribute to the Measure data platform, utilising tools like Adverity, Google Cloud Platform (GCP), BigQuery, and dbt to create and enhance data architectures.
- Collaboration & Requirements: Collaborate effectively with BI specialists, analytics teams, and planning teams to understand business requirements and translate them into technical data engineering specifications.
- Data Integrity & Quality: Write and optimise complex SQL queries, implement data validation rules, and support monitoring processes to ensure the accuracy, completeness, and consistency of data assets.
- Innovation & Best Practices: Stay up-to-date with new data engineering trends and technologies, contributing to the adoption of best practices and continuous improvement of our data capabilities.
- Performance Optimization: Assist in troubleshooting and optimising data pipeline and database performance for large datasets and complex transformations.
- Maintain an understanding of digital advertising and ad serving technology (e.g., ad serving, vendor ad servers, web analytics, attribution), pursuing advanced accreditation where relevant.
Skills and Experience
- Hands‑on experience in data engineering, analytics engineering, or a closely related data field.
- Practical experience with cloud data platforms, specifically Google Cloud Platform (GCP) services (e.g., BigQuery, Cloud Storage, Cloud Functions, Composer).
- Strong proficiency in SQL for data manipulation, transformation, and analysis.
- Experience in designing, building, and maintaining data pipelines (ETL/ELT).
- Experience with data transformation tools like dbt (Data Build Tool).
- Experience working with data ingestion tools (e.g., Adverity or similar ETL platforms).
- Understanding of data modelling techniques (e.g., star schema, snowflake schema).
- Experience working with digital marketing, media campaign data, ad serving technologies, and/or web analytics data.
- Good communication skills, with the ability to articulate technical concepts and contribute to team discussions.
- Proactive and eager to learn new technologies and apply best practices in data engineering.
- Familiarity with a scripting language like Python for data automation and manipulation.
- Understanding of Infrastructure as Code (IaC) principles.
- Exposure to CI/CD practices for data pipelines.
- Experience with project management tools such as Jira and Confluence.
- Basic understanding of data governance principles.
- Experience working with dashboarding tools (PowerBi preferred).
Benefits
Our benefits include 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 for particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.
We believe the best work happens when we're together, fostering creativity, collaboration, and connection. 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 this is a UK‑based role and requires individuals to have the right to work in this location.
Data Engineer - Manager employer: WPP Media
WPP is an exceptional employer that champions creativity and innovation, providing a dynamic work environment where data engineers can thrive. With a strong focus on employee growth, WPP offers extensive benefits including competitive medical plans, generous paid time off, and a hybrid work culture that fosters collaboration and connection. Located in the UK, WPP Media empowers its team members to contribute to transformative projects while enjoying a supportive atmosphere that values diversity and inclusion.
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