Data Engineer

• Lead the design and development of complex, product-aligned data pipelines and transformations in dbt Cloud and BigQuery, ensuring scalability and performance across multiple product areas.
• Act as the data lead within cross-functional Scrum teams, shaping data requirements, defining modeling strategies, and ensuring technical feasibility from discovery through delivery.
• Drive data discovery and technical scoping during product ideation, advising on the best ways to leverage data for new features, measurement, and product optimization.
• Own end-to-end quality and scalability of product data solutions, implementing frameworks that ensure accuracy, efficiency, and long-term maintainability.
• Proactively identify cross-product dependencies, lead alignment sessions with the wider Data Engineering team, and contribute to defining shared data standards.
• Champion best practices in testing, observability, and documentation, introducing improved frameworks or automation where possible.
• Integrate the advancement of the agentic development framework into product data development, driving automation and continuous improvement in data workflows.
• Contribute to the strategic evolution of Ozone’s data stack, evaluating new technologies and mentoring other engineers in modern data practices.
• Work with cross-functional teams to deliver data-driven product insights and performance tracking.

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