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Data Engineer – FinTech AI / Stock Market Data Pipelines

UMATRRiyadh, Riyadh Region, Saudi Arabia

12 days ago

Job description

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

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Data Engineer • Riyadh, Riyadh Region, Saudi Arabia

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