Employer description & source details
The Senior Data Engineer, Marketing & Analytics, is a technical leader and architect responsible for designing, building, and owning robust data pipelines and infrastructure that power VML's digital and media reporting and product analytics for our tier-one clients. This role focuses on defining data strategy, ensuring high-quality, reliable, and accessible data for complex analysis, advanced reporting, and critical analytical initiatives, including feeding platforms like Amplitude. You will be instrumental in laying the data foundation that fuels AI/ML applications and provides strategic insights. You will leverage and evolve a modern data stack including Google Cloud Platform (GCP), Matillion for advanced ETL/ELT orchestration, Snowflake as our cloud data warehouse, and Rudderstack for customer data ingestion and event streaming. Your work will directly empower our analytics and data science teams to derive critical insights, fuel AI/ML applications, and provide robust data to product analytics platforms like Amplitude. This role demands end-to-end ownership, strategic technical guidance, and the ability to mentor junior engineers, alongside a deep understanding of data engineering principles, meticulous attention to data quality, and a collaborative spirit to drive data initiatives across cross-functional and client teams. As a Senior Data Engineer within the VML EMEA Enablement Team, your duties will include, but will not be limited to, the following: Data Architecture & Strategy: Lead the design and architecture of scalable, resilient, and performant data pipelines and data infrastructure solutions on GCP and Snowflake. Contribute to defining the data engineering roadmap, evaluating new technologies, and establishing best practices. Advanced Data Pipeline Developme
Extracted skills: python, sql, aws, azure, gcp, docker, kubernetes, machine learning, artificial intelligence, power bi, tableau, digital marketing