Data Engineer – FinTech AI / Stock Market Data Pipelines

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