Data Engineer

Klimb.io; Riyadh; On-site; SAR 40,000 - 80,000; Full time

Job summary

A leading data analytics firm in Riyadh is seeking an experienced professional to design data pipelines and build analytical models that transform banking data into actionable insights. The ideal candidate will have 5-10 years of experience in data engineering, proficiency in Python and SQL, and a strong understanding of machine learning. This role includes building predictive models, ensuring data quality, and collaborating across teams to enhance decision-making.

Qualifications

• 5-10 years' experience in data engineering and analytics (banking preferred).
• Strong understanding of machine learning, customer analytics, and data governance.

Responsibilities

• Build and maintain data pipelines integrating core banking, digital, and CRM data.
• Develop predictive churn models, cross-sell, and calculate lifetime value.
• Conduct customer segmentation and behavioral analysis to support marketing and product strategies.
• Design dashboards and reports for business stakeholders.
• Ensure data quality, integrity, and compliance with SAMA and PDPL standards.
• Collaborate across teams to embed insights into decision-making and digital journeys.

Skills

Python

SQL

Spark

Power BI

Tableau

cloud data platforms (Azure/AWS)

Education

Bachelor's/Master's in Data Science, Computer Science, or Engineering

Job description

Responsible for designing data pipelines and building analytical models that transform banking data into actionable customer insights. Combines data engineering and data science expertise to support personalized experiences, improve decision-making, and drive business growth across Retail Banking.

Responsibilities

• Build and maintain data pipelines integrating core banking, digital, and CRM data.
• Develop predictive churn models, cross-sell, and calculate lifetime value.
• Conduct customer segmentation and behavioral analysis to support marketing and product strategies.
• Design dashboards and reports for business stakeholders.
• Ensure data quality, integrity, and compliance with SAMA and PDPL standards.
• Collaborate across teams to embed insights into decision-making and digital journeys.

Requirements

• Bachelor's/Master's in Data Science, Computer Science, or Engineering.
• 5-10 years' experience in data engineering and analytics (banking preferred).
• Proficient in Python, SQL, Spark, Power BI/Tableau, and cloud data platforms (Azure/AWS).
• Strong understanding of machine learning, customer analytics, and data governance.