Senior Data Engineer

🕒 April 21

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Logo of EXANTE

EXANTE

501 - 1000 employees

Founded 2011

💳 Fintech

💸 Finance

🤝 B2B

Fintech • Finance • B2B

EXANTE is a global prime broker and fintech firm founded in 2011 that provides direct access to over 2 million financial instruments across 50+ markets through a proprietary, customizable trading platform (desktop, web, mobile) with API and white-label options. It serves institutional and professional clients — banks, brokerages, asset managers, family offices, and professional traders — offering trade execution, custody arrangements, regulatory coverage, and dedicated relationship and post-trade support.

📋 Description

• Define how data is understood, accessed, and used by AI systems across the company. • Build clean, reusable analytical data layers in BigQuery. • Move business logic from BI into the warehouse. • Define metrics, dimensions, and semantic consistency. • Enable reliable AI ↔ data interaction. • Design schemas + instructions so AI produces correct outputs. • Test and refine real AI usage (not theory). • Implement data-layer access control (not BI-layer). • Ensure consistent behavior across BI, AI, and internal tools. • Ensure metric reconciliation across different data sources. • Prevent sensitive data leakage and uncontrolled query cost. • Replace manual data workflows with AI-driven processes. • Build agents for reporting, validation, and internal analytics.

🎯 Requirements

• Strong SQL + data modeling (BigQuery or similar) • Experience building scalable data layers (not just pipelines) • Understanding of metrics, semantics, and analytical correctness • Hands-on exposure to LLMs / AI tools (practical, not theoretical) • Ability to design systems where data is consumed by machines. • Bonus experience: • dbt / semantic layers • BigQuery performance & cost optimization • Finance / brokerage data • Fine-grained access control implementations • AI agent / tool-based workflows

🏖️ Benefits

• Competitive salary • Flexible working hours • Professional development budget • Home office setup allowance • Global team events

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