Data engineering jobs at Pleo.

PL

Pleo · jobs.ashbyhq.com · checked today

Staff Analytics Engineer

Skills, with evidence

• Python
  Our tech stack currently include: GCP, BigQuery, dbt Core, Airflow, SQL, Python, Claude Code, GitHub Copilot.must havewrong?
• SQL
  Deep BigQuery and SQL expertise, including performance, cost considerations, and the architectural challenges of complex analytical domains.must havewrong?
• dbt
  Deep demonstrated expertise in dbt and modelling practices: not just strong modelling, but a formed view of what modelling architecture should look like across a function.must havewrong?
• GCP
  Our tech stack currently include: GCP, BigQuery, dbt Core, Airflow, SQL, Python, Claude Code, GitHub Copilot.must have · not practised herewrong?
• Airflow / orchestration
  Our BI stack is also in transition so, you would not be inheriting a mature setup and maintaining it.wrong?
• Data modelling
  - Set data modelling standards for the function: what clean, layered, well-tested dbt architecture looks like across all domains, at all levels of complexity.wrong?
• Governance & security
  This is a senior individual contributor role in our Data Services & Governance team where you'll act as the thought and technical leader owning the semantic layer and analytics standards for Pleo.not practised herewrong?
• Schema evolution & contracts
  - Engage upstream with backend and product engineers to drive data contract discipline and schema ownership upstream, rather than managing inconsistency downstream.wrong?
• Dashboards & BI
  The semantic layer you will be designing and maintaining will be the single source of truth that AI agents, BI tools, and analysts query.not practised herewrong?
• Cost & performance
  - Deep BigQuery and SQL expertise, including performance, cost considerations, and the architectural challenges of complex analytical domains.wrong?
• Warehousing
  - Lead responsible AI-augmented migration work using AI tooling to accelerate data modelling and migrations across the Analytics Warehouse and Operational Data Platform.wrong?
• Machine learning
  You'll report to the Data Engineering Manager who oversees the Data Infra & MLOps team as well as the Data Services & Governance team.not practised herewrong?