Job Title: Python Engineer / Senior Python Engineer

Location: Dubai, UAE

Experience: 8-11 Years

Employment Type: 1 year + extendable

About the Role

We are looking for a talented Python Engineer or Senior Python Engineer to join our team and help build high-performance, secure, and scalable backend systems and real-time data pipelines. You will work closely with product owners, business translators, and analytics teams to power credit risk scoring systems with robust APIs and data infrastructure.

This is a high-impact, collaborative role where your work will directly support advanced analytics and machine learning efforts in a real-time environment.

Key Responsibilities

• Design, develop, and maintain real-time data pipelines and APIs using FastAPI, Pydantic, and SQL.
• Build modular, scalable pipelines for feature engineering and model-ready datasets.
• Collaborate with Risk Analysts and cross-functional teams to solve business problems through data engineering.
• Ensure timely delivery of features and services to support analytics and modeling use cases.
• Write clean, robust, and maintainable code using typed Python and software engineering best practices.
• Curate and transform structured, semi-structured, and unstructured data for analytics.
• Develop unit and integration tests using Pytest to ensure high-quality code.
• Work within an Agile squad and contribute to a culture of trust, learning, and ownership.

Key Skills & Technologies

• Strong programming skills in Python (with type hints)
• Hands-on experience with FastAPI, Pydantic, and Pytest
• Strong understanding of software engineering principles and API design
• Experience in data wrangling, feature engineering, and working with real-time pipelines
• Proficiency in SQL and familiarity with data validation and quality checks
• Familiar with tools such as Jupyter, Git, and Agile practices
• Comfortable working with analytics and machine learning workflows

Qualifications

• Bachelor's degree in Computer Science, Engineering, Mathematics, or related field (or equivalent experience)

Experience Required

• 2+ years of hands-on experience building APIs and data pipelines in production
• Experience working across structured, semi-structured, and unstructured data
• Familiarity with analytics (descriptive, predictive, EDA) and feature engineering
• Exposure to API-based ML or analytics pipelines