Analytics, Data Engineer

🕒 Junho 8

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Prop Firm Match

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2023

Pesquise, compare e peça o plano perfeito de prop trading para você.

Descrição

• Own and scale the core data platform for reporting, attribution, product analytics, reconciliation, AI workflows, and decision-making. • Turn fragmented raw data into reliable, reusable business intelligence layers. • Manage BigQuery warehouse architecture and dbt models. • Oversee Airbyte pipelines and tracking infrastructure. • Apply orchestration tools for recurring workflows. • Monitor pipeline reliability and address breakages. • Build reliable business data models for trusted sources across various teams. • Improve data quality and reduce manual work through governance and automation. • Enable AI workflows and new integrations with structured data. • Collaborate with cross-functional partners such as Product, Marketing, Finance, Operations, Analytics, and Engineering.

🎯 Requisitos

• 3+ years of experience as a Data Engineer or Analytics Engineer. • Strong SQL and warehouse modelling skills (dbt, BigQuery preferred). • Data pipeline engineering experience (Airbyte, orchestration, monitoring). • Comfortable with workflow orchestration tools (Airflow or similar). • Strong data governance, quality, and documentation mindset. • Excellent async written communication - we are remote-first. • AI-assisted coding fluency (e.g., Claude, Cursor, Copilot) - Nice to have. • Prior experience in fintech, prop trading, or SaaS - Nice to have. • Experience integrating QuickBooks, CRM, or operational systems - Nice to have. • Cross-functional partnership experience with Product, Marketing, or Finance - Nice to have.

🏖️ Benefícios

• Hiring stages are simple, transparent, and respectful of your time. • Application screening. • Video intro + role fit questionnaire. • Discovery HR Interview. • Real-world task based on real data challenges. • Deep-dive Professional interview with the Head of Data & Analytics. • Functional Interview with senior team members. • Peer & values conversation evaluated against PFM's structured values scorecard. • Informal conversation to align expectations before a formal written offer.