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!

• 6+ 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, including
  • dbt models and materialization
  • Incremental models
  • Macros and Jinja
  • dbt tests and data quality frameworks
  • Snapshots
  • Seeds and sources
  • Documentation and lineage
  • dbt packages
• Strong experience with at least one cloud data platform, such as:
  •  Snowflake
  • Databricks
  • BigQuery
  • Amazon Redshif

​​​​​​​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