[Hiring] Finance BI & Data Engineer @Who Gives A Crap

Role Description

We are looking for a Finance BI and Data Engineer for a 12-month contract to act as the technical engine behind the transformation of our Finance function from standard data outputs to true value creation. Sitting within our Number Scrunchers / FP&A team and reporting to the Head of FP&A, you will design, build, and embed a real-time, self-service reporting layer that becomes our Single Source of Truth for 3-way financials.

Your mission is to systematically eliminate capability debt and manual reconciliation. By building an advanced profitability attribution engine and deploying applied ML/AI techniques for automated forecasting, you will directly accelerate our leadership team's ability to make high-impact, confident capital allocation decisions.

If you worked here this past month here are some things you might have been involved in:

• Engineering a Financial Single Source of Truth: Designing intuitive data models and semantic layers in Snowflake to build a real-time, self-service 3-way reporting layer for our Board and Executive team.
• Building a Profitability Engine: Partnering with our Commercial and Supply Chain squads to build and systematize a P&L attribution model mapped to channels, markets, and products.
• Prototyping Predictive AI Tools: Collaborating with FP&A to deploy applied ML/AI techniques for automated cash and P&L forecasting, scenario modeling, and anomaly detection with robust human-in-the-loop controls.
• Evaluating Core Tooling: Leading the technical evaluation and reconfiguration/replacement assessment of our NetSuite Planning and Budgeting (NSPB) module and broader BI tool ecosystem.
• Driving Data Governance: Establishing auditable reconciliation frameworks between your new reporting layer and source systems to maintain total data trust, while codifying sustainable documentation for a seamless hand-off.

Qualifications

• Strong platform and data infrastructure experience.
• Proven track record of scoping, tracking, and executing end-to-end data pipelines, tool implementations, or systems-level transformation roadmaps.
• Ability to see how platforms, integrations, data flows, and manual team workflows connect into a singular ecosystem.
• Highly proficient in data architecture (ideally with Snowflake or similar data lakes), data modeling, semantic layers, and custom integration layers with ERPs or financial planning tools (like NetSuite).
• Demonstrated history of utilizing practical AI/ML tools or predictive modeling workflows.
• Ability to bridge the gap between finance requirements, data engineering standards, and non-technical business leaders.

Benefits

• Competitive, market-informed salaries.
• Meaningful support towards healthcare for our team around the world.
• Generous paid leave.
• Tailored learning and development opportunities.
• Free toilet paper.