Senior Data Engineer

Senior Data Engineer Overview

We are seeking a talented and driven Data Engineer to join our global team at WPP Media. In this role, you will be an essential contributor, responsible for designing, developing, and maintaining the data pipelines and infrastructure that underpin our analytics products. Your work will directly impact our clients by transforming complex datasets into actionable insights.

Key Responsibilities

• Design, construct, and maintain scalable and dependable data pipelines and infrastructure, primarily utilizing Google Cloud Platform (GCP) services such as BigQuery and Cloud Storage, along with Snowflake.
• Develop, test, and implement data transformation logic using SQL and DBT to produce clean, reliable, and efficient data models.
• Collaborate with analytics, product, and engineering teams to gather data requirements and convert them into technical specifications.
• Establish and maintain data quality and governance processes to ensure the accuracy, consistency, and integrity of datasets.
• Contribute to the execution of the data engineering roadmap by delivering key initiatives and projects.
• Create and sustain monitoring systems for data pipeline performance, identifying and resolving issues to guarantee data availability and freshness.
• Enhance data pipelines and queries for improved performance, scalability, and cost-effectiveness.
• Support data consumers by providing access to data through APIs and facilitating integrations with analytics and visualization tools like Power BI.
• Generate and maintain technical documentation for data pipelines, models, and processes to aid in product adoption and knowledge sharing within the team.
• Foster a collaborative team environment by participating in code reviews and sharing expertise with fellow engineers.

Skills and Experience

• Demonstrated experience as a Data Engineer, with a proven history of building and maintaining production-level data pipelines and ETL/ELT processes.
• Strong command of SQL and experience with data manipulation languages for complex data transformation and analysis.
• Practical experience with cloud data platforms, particularly Google Cloud Platform (GCP), including services like BigQuery and Cloud Storage.
• Familiarity with DBT for creating modular, scalable, and testable data models, or similar tools.
• Solid understanding of data modeling concepts, data warehousing principles, and data integration techniques.
• Proficiency in a programming language such as Python for scripting and data pipeline development.
• Knowledge of digital advertising, particularly campaign data from platforms like Google Ads, Facebook Ads, or DSPs, is a significant advantage.
• Analytical mindset with strong problem-solving abilities to troubleshoot complex data issues and devise robust, long-term solutions.
• Excellent teamwork and communication skills to effectively collaborate with both technical and non-technical stakeholders.
• Experience working in an Agile development environment is preferred.
• Familiarity with data visualization tools, such as Power BI, is desirable.

Life at WPP Media & Benefits

At WPP Media, we are committed to fostering an extraordinary workplace that inspires creativity and growth. Our inclusive culture is supported by various employee resource groups and regular team events that celebrate achievements and milestones. We offer a comprehensive benefits package, including competitive medical and retirement plans, generous paid time off, and mental health awareness days. This role operates in a hybrid working model, with teams collaborating in the office approximately four days a week. Candidates must have the right to work in the UK.

Degree Requirement: Not Specified

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