Messy spend management is tricky business. And tedious processes are a lose-lose situation for all involved, not just finance. We build spend solutions that make managing money seamless, empowering, and surprisingly effective for finance teams and employees alike - with a vision to help all businesses ‘go beyond’.
Skills, with evidence
- Python Our tech stack currently include: GCP, BigQuery, dbt Core, Airflow, SQL, Python, Claude Code, GitHub Copilot. must have
- SQL Deep BigQuery and SQL expertise, including performance, cost considerations, and the architectural challenges of complex analytical domains. must have
- 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 have
- GCP Our tech stack currently include: GCP, BigQuery, dbt Core, Airflow, SQL, Python, Claude Code, GitHub Copilot. must have · not practised here
- Airflow / orchestration Our BI stack is also in transition so, you would not be inheriting a mature setup and maintaining it.
- - Set data modelling standards for the function: what clean, layered, well-tested dbt architecture looks like across all domains, at all levels of complexity.
- 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 here
- - Engage upstream with backend and product engineers to drive data contract discipline and schema ownership upstream, rather than managing inconsistency downstream.
- 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 here
- Cost & performance - Deep BigQuery and SQL expertise, including performance, cost considerations, and the architectural challenges of complex analytical domains.
- Warehousing - Lead responsible AI-augmented migration work using AI tooling to accelerate data modelling and migrations across the Analytics Warehouse and Operational Data Platform.
- 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 here
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Staff Analytics Engineer Staff employer: D8 LooP
Wise is an exceptional employer that fosters a dynamic and innovative work culture, where employees are empowered to make a real impact on the global financial landscape. With a strong focus on employee growth and development, team members have access to cutting-edge technology and opportunities to enhance their skills in a collaborative environment. Located in a vibrant city, Wise offers unique advantages such as flexible working arrangements and a commitment to work-life balance, making it an ideal place for those seeking meaningful and rewarding employment.
