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Senior Financial Data Engineer

5 days, 16 hours ago
Taiwan, Hong Kong
Full-time
Senior
Data Engineer
Software Development
Apache Spark Blockchain CI/CD ClickHouse Elasticsearch Java Kafka LLM Python Scala SQL
Apply Now
Binance

Binance

Binance operates as a leading blockchain ecosystem and digital asset exchange, integrating digital technology with financial services to facilitate the trading and management of cryptocurrencies.

Capital Markets
5K-10K
Founded 2017
$10M raised
View All Jobs 262

Description

  • Own the discovery, evaluation, ingestion, cleansing, modeling, storage, and servicing of securities and financial-market data.
  • Design scalable unified data models and ingestion frameworks for multi-market conventions, identifiers, calendars, currencies, and corporate actions.
  • Build and optimize batch and streaming pipelines centered on Flink for trading, research, analytics, and AI use cases.
  • Establish data-quality and service-level frameworks covering reconciliation, anomaly detection, monitoring, replay, backfill, and disaster recovery.
  • Evaluate vendors, exchanges, APIs, and file feeds while defining primary, backup, and fallback data-source strategies.
  • Collaborate with product, procurement, legal, compliance, trading, data-platform, AI, and algorithm teams on data usage and service contracts.
  • Improve metadata management, lineage, automated testing, CI/CD, orchestration, capacity governance, and AI-assisted development.

Requirements

  • Master’s degree or higher in Computer Science, Software Engineering, Mathematics, Statistics, or a related field.
  • 5+ years of experience in data engineering, big data, or data platforms.
  • Strong understanding of stock markets, trading mechanics, quotes, fundamentals, financial reports, corporate actions, valuation, and market events.
  • Proficiency in SQL and Flink, including large-scale real-time processing, performance tuning, stability governance, and troubleshooting.
  • Proficiency in Java, Scala, or Python; familiarity with Kafka, Spark, and distributed technologies such as ClickHouse, Doris, HBase, or Elasticsearch.
  • Experience with data modeling, scheduling, metadata, lineage, governance, service levels, and cross-system consistency issues.
  • Experience selecting data sources or building production ingestion, including buy-versus-build, multi-source verification, vendor dependency, and fallback decisions.
  • Experience with stock data, US equity markets, market-data platforms, brokerages, fintech, wealth management, or financial-data providers.
  • Experience with low-latency market pipelines, securities master platforms, multi-market models, quantitative research, backtesting, anomaly detection, knowledge graphs, or financial LLM/RAG datasets is preferred.

Benefits

  • Competitive salary and company benefits.
  • Work-from-home arrangement, subject to business-team requirements.
  • Career growth and continuous learning opportunities.
  • Autonomous work on fast-paced, innovative projects.
  • Collaboration with global, cross-functional teams in a flat organizational structure.

Interested in this position?

Apply directly on the company website

Apply Now

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