We are looking for an Analytics Engineer to help scale the “engine” behind our business intelligence — at a moment when that engine is expanding its mandate. This role sits at the intersection of partnering with our data and engineering teams, as well as backend engineers, Sales/RevOps, Marketing, and Product and AI Engineering stakeholders, to build reliable, high-performance pipelines while also contributing to ingestion, orchestration, and LLM-powered classification workflows.
Requirements
- Advanced dbt Modeling: Build modular, well-tested SQL models using dbt.
- Pipeline Engineering: Maintain and optimize custom ingestion workflows and orchestration, ensuring high availability and reliability.
- Intelligence & Automation: Implement internal automation workflows that leverage LLMs for data classification and insights generation within the warehouse.
- Data Activation: Own the “Reverse ETL” flows that push critical business signals back into GTM tools for Sales, Marketing, and Success.
- Technical Standards: Contribute to our engineering culture through code reviews, documentation, and the enforcement of data contracts with upstream providers.
Benefits
- Private life and health insurance plan
- Fully remote work if you prefer to work from home, apart from when we have team meetings a few times per year
- Your personal annual training budget
- An annual home office allowance to set up your personal space
- Company laptop
- 23 days of paid time off
- 3 early summer Fridays in July and August
- Access to AI tools at work
- A free LearnWorlds School to build and sell your own courses
To apply for this job please visit jobs.workable.com.
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