Analytics / Data Engineer

Prop Firm Match Global FZCO is a leading platform for discovering, comparing, and selecting top proprietary trading firms. The company provides traders with tools to compare challenge details, read verified reviews, and see accurate payout data. It operates as a fully remote team with members worldwide, focusing on building quality products that impact thousands of users.

Must have:

• 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 skills.

Nice to have:

• AI-assisted coding fluency (e.g., Claude, Cursor, Copilot).
• Prior experience in fintech, prop trading, or SaaS.
• Experience integrating QuickBooks, CRM, or operational systems.
• Cross-functional partnership experience with Product, Marketing, or Finance.

Objective 1 - Own the data platform foundation:

• Own BigQuery warehouse architecture and dbt models.
• Manage Airbyte pipelines and tracking infrastructure.
• Apply orchestration tools (e.g., Airflow) for recurring workflows.
• Monitor pipeline reliability and address breakages.

Objective 2 - Build reliable business data models:

• Model revenue and commission flows end-to-end.
• Model product funnels for conversion analysis.
• Model partner performance for the Revenue Operations team.
• Build executive reporting layers.

Objective 3 - Improve data quality and reduce manual work:

• Implement governance, permissions, monitoring, and alerting.
• Automate recurring reports and reconciliations.
• Enable self-service analytics for non-technical stakeholders.
• Improve documentation and discoverability of warehouse tables.

Objective 4 - Enable AI workflows and new integrations:

• Integrate QuickBooks, CRM, support, social, and operational systems.
• Support AI enablement (Claude / internal AI assistants) with structured data.
• Use AI-assisted coding workflows to speed development.
• Partner with Engineering on integration architecture.

• Remote work with requirement for strong overlap with CET hours (4+ hours overlap).