VML/WPP Enterprise Solutions - Senior Data Engineer

• Minimum 7 years’ engineering and development experience • Strong Client-facing skills – responsive, results-driven, dedicated to customer support, and adept at consulting on complex technical and strategic data challenges. • Strong attention to detail, excellent organisation skills, and ability to work independently and manage multiple projects/responsibilities and small teams in a fast-paced environment. • Exposure to enterprise-level clients and understanding of complex web/app ecosystems, privacy regulations (GDPR, CCPA), and best practices for data governance. • In-depth knowledge and understanding of various client websites, mobile apps, their business models, and online marketing/product strategy. • Technical & Development Expertise: • Cloud Platforms: Deep expertise with Google Cloud Platform (GCP), particularly BigQuery, Cloud Storage, Cloud Functions, Pub/Sub, Dataflow/Dataproc, and orchestration tools like Cloud Composer (Apache Airflow). • Cloud Platforms: • Data Warehousing: Mastery in Snowflake including advanced data loading strategies, complex SQL querying, extensive performance tuning, and designing intricate schema architectures (star schema, snowflake schema, data vault). • Data Warehousing: • ETL/ELT Tools: Expert-level, hands-on experience designing, developing, and managing complex and high-volume data pipelines with Matillion (or similar enterprise-grade ETL tools like Fivetran, Stitch, Talend, Informatica). • ETL/ELT Tools: • Customer Data Platforms (CDPs): Extensive experience with Rudderstack (or Segment) for event collection, transformation, data routing, and destination management, understanding its role in the modern data stack. • Customer Data Platforms (CDPs): • Product Analytics Platforms: Proven experience integrating data with, and optimizing data for, Amplitude (or similar leading product analytics tools like Mixpanel, Pendo). In-depth understanding of Amplitude's event taxonomy and user properties. • Product Analytics Platforms: • Programming & Scripting: Advanced proficiency in SQL for complex data manipulation, optimization, and transformation. Strong proficiency in Python for scripting, automation, API integrations, and potentially data processing frameworks. • Programming & Scripting: • BI & Reporting: Demonstrated experience working closely with BI developers and analysts using tools like Tableau (or Looker Studio, Power BI), understanding their data needs and optimising data models for reporting performance. • BI & Reporting: • Data Collection & Integration: Expertise in integrating data from a wide variety of sources, including numerous APIs, SFTP, streaming data, and a deep understanding of event-driven data architectures, especially from advanced omnichannel tagging and data collection systems. • Data Collection & Integration: • Data Modeling: Extensive practical experience with various data modeling techniques for analytical databases and data warehouses, including dimensional modeling, data vault, and normalised/denormalised approaches. • Data Modeling: • Version Control & DevOps: Strong proficiency with Git and experience implementing CI/CD pipelines for data engineering workflows. • Version Control & DevOps: • Beneficial: Experience with streaming data technologies (e.g., Kafka, Pub/Sub, Dataflow streaming), experience with containerization (Docker, Kubernetes), or knowledge of other cloud platforms (AWS, Azure). • Beneficial: • Functional & Domain Expertise: • Marketing & Product Data: Strong understanding of digital marketing data (e.g., ad impressions, clicks, conversions), media reporting metrics, product usage data (e.g., events, user flows as seen in Amplitude), and customer journey data. • Marketing & Product Data: • Data Governance: Familiarity with data privacy regulations (GDPR, CCPA) and best practices for data security and compliance. • Data Governance: • Analytics Ecosystem: Understanding of how data engineering supports analytics, reporting, and machine learning initiatives across various platforms including Amplitude. • Analytics Ecosystem: • Client Engagement: Demonstrated experience as a senior consultant, engaging directly with clients to gather requirements, present solutions, and manage expectations. • Client Engagement: • Communication: Exceptional written and oral communication skills, capable of authoring complex technical specifications, blueprints, and proposals, and confidently leading technical discussions. • Communication: • Problem-Solving: Proven ability to work collaboratively as part of a team to solve complex problems in varied, fast-paced environments. • Problem-Solving: • Project Management Acumen: Experience working effectively within a project management office framework. • Project Management Acumen: • Methodologies: Familiarity and experience with best practice development methodologies. • Methodologies: • Adaptability: Ability to instill confidence through maturity, expertise, and impeccable communications. • Adaptability: • WPP Enterprise Solutions is committed to Employment Equity and transformation. In accordance with our Employment Equity objectives, preference may be given to candidates from designated groups. • 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 agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity and deliver transformational growth. For more information, visit WPP.com.