Senior Data Engineer

Quant Data & Analytics; Riyadh; Remote; SAR 150,000 - 200,000; Full time

Job summary

A leading data analytics firm is seeking a Senior Data Engineer to design and implement scalable data solutions. The ideal candidate will have strong skills in Python, cloud services, and data workflow management. This remote position requires collaboration across teams to enhance data-driven products and resolve data quality issues. Experience with machine learning and a relevant degree are essential.

Qualifications

• Hands-on experience in data analysis and automation.
• Practical experience with machine learning models.
• Solid understanding of programming concepts and data architecture principles.

Responsibilities

• Design and implement scalable data pipelines.
• Lead integration of data sources and design data models.
• Ensure data quality by identifying issues.

Skills

Proficient in Python

Dataiku for advanced data workflows

Cloud services (AWS or Azure)

Data visualization and statistical analysis

Machine learning models

Microsoft Office and Google Suite

Education

Bachelor's or Master's degree in Computer Science

Tools

SQL

Airflow

Alteryx

Job description

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

• Proficient in Python, with hands-on experience in data analysis and automation
  
• Skilled in usingDataiku for advanced data workflows and machine learning applications
  
• Familiarity with cloud services like AWS or Azure.
  
• Strong background in data visualization and statistical analysis to drive data-driven insights
  
• Practical experience with machine learning models and managing large-scale (big data) projects
  
• Solid understanding of programming concepts and data architecture principles
  
• Capable of defining and tracking meaningful metrics for data and analytics initiatives
  
• Excellent analytical skills with a balance of quantitative rigor and qualitative insight
  
• Highly proficient in Microsoft Office and Google Suite for documentation and collaboration
  
• Bachelor’s and/or Master’s degree in Computer Science or a related technical field
  
• Agile, innovative, and solutions-oriented thinker with a strong sense of ownership
  
• Collaborative and dependable team player, effective in multicultural and diverse environments