Senior Staff Engineer - Data Engineer

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (15000+ experts across 26 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in! -  8+ years of experience in Data Engineering, Analytics Engineering, or related fields. - 3+ years of hands-on experience with dbt in production environments. - Strong expertise in SQL and complex data transformation development. - Strong understanding of dbt Core and/or dbt Cloud. - Experience with dbt models and materialization - Experience with incremental models  - Experience building and maintaining macros using Jinja - Experience with dbt tests and data quality frameworks - Experience with snapshots - Experience with seeds and sources  - Experience with documentation and data lineage - Experience using dbt packages - Strong experience with at least one cloud data platform: -  Snowflake - Databricks - Google BigQuery - Amazon Redshift - Daily, fluent use of Claude Code and/or GitHub Copilot for implementation, refactoring, test generation, and code review - Ability to establish team standards for AI-assisted development: effective prompting, trust-vs-verify discipline on generated code, security/IP guardrails, and reviewing AI-authored changes - Working understanding of LLM fundamentals: context windows, tokens, model selection, and prompt/context engineering - Experience integrating AI into developer workflows and agentic/automation tooling (MCP servers, AI-driven CI steps, codegen and doc-generation pipelines) - Able to evaluate AI tooling pragmatically: measuring real productivity and quality impact, not hype