At a Glance
- Tasks: Design and build scalable data pipelines using cutting-edge cloud technologies.
- Company: Join WPP Media, a leader in AI-driven media solutions.
- Benefits: Enjoy competitive pay, extensive benefits, and a supportive work culture.
- Other info: Collaborative environment with opportunities for growth and professional development.
- Why this job: Make a real impact by transforming massive datasets into actionable insights.
- Qualifications: Experience in data engineering, SQL, and cloud platforms like GCP required.
The predicted salary is between 63000 - 77000 £ per year.
About WPP Media 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.
Role Summary and Impact 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
Be Extraordinary, investing in our employees to inspire transformational creativity. We also Lead Optimistically, firmly believing in and Championing Growth and Development for every individual. This commitment allows WPP Media employees to leverage the extensive global WPP Media & WPP networks to pursue their passions, build vital professional connections, and learn at the cutting edge of 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 events showcasing team 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 when we're together, 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.
Senior Data Engineer in London employer: WPP Media
WPP Media is an exceptional employer that fosters a dynamic and collaborative work culture in the heart of Greater London. With a strong emphasis on employee growth, we offer competitive benefits and a hybrid work model that encourages creativity and flexibility, making it an ideal environment for professionals looking to make a meaningful impact in the media landscape.
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We think this is how you could land Senior Data Engineer in London
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We think you need these skills to ace Senior Data Engineer in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at WPP Media
✨Brush Up on Your Statistics
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
