Jobs / Singapore / Binance Europe Limited

Financial Data Engineer, AI/LLM

Binance Europe Limited · 🌍 Hong Kong; Singapore; Taiwan

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No government record and no wording either way. Not a refusal — ask the recruiter.

  • No government sponsor record hereNo government sponsor record covers this employer in this country.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • Can’t check pay against the visa rulesNo salary stated. Singapore Employment Pass needs at least SGD 67,200 a year. Source: https://www.mom.gov.sg/passes-and-permits/employment-pass/eligibility, rules effective 2025-01-01.
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Sponsor Radar — Binance Europe Limited

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About the role

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, and more. Our mission is to increase the freedom of money and financial access for people around the world. About Binance Binance is the global leading blockchain ecosystem, operating the world's largest digital asset trading platform by volume, serving over 300 million users across 100+ countries and regions. We are committed to building a more open financial ecosystem and improving global access to financial services. Binance is continuously building stock and related financial market products for global users. The relevant data will serve user-facing stock products and Binance AI business scenarios. We are seeking professionals with stock market experience to jointly build reliable, scalable data and financial AI capabilities. Role Overview You will participate in building the core data foundation for Binance's stock and related financial market businesses, responsible for the full pipeline from data source discovery, evaluation, ingestion, and integration to unified modeling, real-time processing, quality governance, and data services. Beyond completing defined integrations, we expect you to leverage industry expertise to continuously identify better data sources and technical solutions, enabling new markets, products, and data to serve trading products and AI quickly and reliably. Working at Binance • Be a part of the world’s leading blockchain ecosystem that continues to grow and offers excellent career development opportunities • Work alongside diverse, world-class talent in an environment where learning and growth opportunities are endless • Tackle fast-paced, challenging and unique projects • Work in a truly global organization, with international teams and a flat organizational structure • Competitive salary and benefits • Flexible working hours, remote-first, and casual work attire Learn more about how Binancians embody the organization’s core values, creating a unified culture that enables collaboration, excellence, and growth. Apply today to be a part of the Web3 revolution! Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success. Responsibilities • Conduct research, technical evaluation, ingestion, integration, cleansing, standardization, computation, storage, and servicing of financial market data, covering securities master data, real-time and historical market data, fundamentals, corporate actions, indices, and business-required product and risk data; responsible for source ingestion, raw retention, and stable delivery to knowledge engineering pipelines for content-type data such as announcements, news, and research reports. • Design scalable unified data models and integration frameworks, handling different markets' trading calendars, time zones, currencies, security identifiers, listing relationships, lifecycles, and data corrections, supporting rapid onboarding of new markets and sources. • Build batch-stream unified data pipelines centered on Flink, continuously optimizing latency, throughput, query performance, stability, and cost, while supporting consumer trading products, research analysis, and AI scenarios. • Establish data quality and service level frameworks, taking responsibility for completeness, accuracy, timeliness, consistency, and traceability; build automated reco

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Source: Greenhouse (employer board) First seen: 2026-10-14 Last confirmed: 2026-10-14 How our data works → Report this job

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