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Data Engineer – FinTech AI / Stock Market Data Pipelines

Data Engineer – FinTech AI / Stock Market Data Pipelines

UMATRRiyadh, Riyadh Region, Saudi Arabia
15 منذ أيام
الوصف الوظيفي

Data Engineer – FinTech AI / Stock Market Data Pipelines

Title : Data Engineer – FinTech AI / Stock Market Data Pipelines

Tech Stack : Apache Kafka, PySpark, TimescaleDB, PostgreSQL / MySQL, Snowflake / BigQuery / Redshift, AWS S3 / Data Lakes, Airflow / Prefect / Dagster

Responsibilities

  • Develop and maintain high-throughput real-time and batch pipelines for equities and financial market data .
  • Implement time-series databases and ensure performance at scale.
  • Manage data lakes, warehouses, and relational databases for analytics and reporting.
  • Collaborate with the AI / ML team to structure datasets for training and deploying trading models.
  • Ensure strong data governance, lineage, and reliability.
  • Optimize cloud infrastructure for low-latency trading and market analytics.

What Is In It For You

  • Competitive tax-free salary in Saudi Arabia (30k SAR)
  • Opportunity to work on cutting-edge fintech + AI projects
  • Be part of a CMA-licensed, regulated startup with strong growth prospects
  • Career progression in a high-visibility data engineering role
  • Work with a global, diverse, and ambitious team shaping the future of investing in the region

    • Requirements

  • 5+ years as a Data Engineer within fintech, trading, or financial services
  • Must have experience with stock market equities, tick data, OHLC, fundamentals, APIs, and sentiment analysis
  • PySpark (distributed data processing)
  • TimescaleDB or other time-series DBs
  • Relational Databases (PostgreSQL, MySQL)
  • Data Warehouses (Snowflake, BigQuery, Redshift)
  • Data Lakes (e.g., AWS S3 + Lake Formation)
  • Orchestration tools : Apache Airflow, Prefect, or Dagster
  • Solid experience designing scalable ETL / ELT pipelines for structured and unstructured data
  • Strong communication skills and ability to thrive in a fast-paced, startup-style environment

    • Nice to Have

  • Experience with Bloomberg, Refinitiv, or other financial market data providers
  • Knowledge of machine learning data preparation and feature engineering
  • Familiarity with financial compliance, data security, and regional regulations

    • #J-18808-Ljbffr

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