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 ofClaude Codeand/orGitHub Copilotfor 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

📌 Staff Engineer - Data Analyst (Lagos de Moreno)
🏢 Smartrecruiters
📍 Lagos de Moreno