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Company Description 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! Job Description - 4+ 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. - dbt models and materializations - Incremental models - Macros and Jinja - dbt testing and data quality - Snapshots, seeds, and sources - Documentation and data lineage - dbt packages - Cloud data platforms (Snowflake, Databricks, BigQuery, or Redshift) AI skills (required for all roles) - 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