Senior Data Engineer

Quant Data & Analytics Company | Full time

Quant, a pioneering Saudi enterprise, leads the charge in digital transformation by leveraging the vast array of data resources available in the fourth industrial revolution. We are deeply committed to delivering exceptional Data Science and AI SaaS products and solutions, with a specialized focus on the real estate sector through Suhail and the retail sector through Fruits360. Our talented dream team possesses unique expertise, enabling us to achieve a track record of marvels, from analyzing more than a trillion data records to serving hundreds of clients across more than 10 industries. Our strategic international and local partnerships alongside our expertise have positioned us as trailblazers in the global transition towards data-driven economies.

Job Description

This is a remote position.

The Senior Data Engineer is responsible for preparing data for modeling and predictive analytics. This includes integrating new data sources, performing pre-processing operations such as data cleansing, feature engineering, statistical analysis, and sampling, as well as managing a wide range of ETL-related tasks. The ideal candidate should demonstrate strong software development practices and a continuous learning mindset. Proficiency in Python, machine learning, data storage solutions, and ETL pipeline development is essential.

Job Responsibilities :

• Design and implement scalable data pipelines using SQL, Airflow, Python, Alteryx, and cloud-based technologies
• Lead the integration of data sources and design data models to meet complex business needs
• Ensure data quality by identifying issues and collaborating with source owners to implement preventive measures
• Deploy and optimize machine learning models, statistical methods, and analytics programs
• Research new data acquisition methods and innovative uses of existing data to drive business value
• Integrate advanced data management tools and software engineering practices to enhance system performance
• Build and maintain high-quality datasets to support decision-making and data-driven products
• Develop custom software components and analytics applications aligned with business requirements
• Implement strategies to improve data reliability, efficiency, and scalability
• Drive innovation through R&D initiatives within the data engineering team
• Collaborate cross-functionally to build a flexible, scalable, and high-performing data platform
• Maintain clear and comprehensive technical documentation for ongoing projects

Requirements

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