Requirements
Requires a Bachelor's degree in Computer Science, Information Technology, or a related quantitative technical field, with a proven track record as a core Python/Data engineer delivering production-grade microservices and data pipelines in an enterprise environment. Must possess exceptional problem-solving abilities, high attention to detail, and excellent communication, team collaboration, and documentation skills.
Description
Job description / Role
Job Type
Full Time
Job Location
Dubai, UAE
Nationality
Any Nationality
Salary
Not Specified
Gender
Not Specified
Arabic Fluency
Not Specified
Job Function
IT - Software & Web Development
Company Industry
IT, Software & Internet Services
Description
We are seeking a highly skilled Python engineer (Python & microservices) to join a dynamic, enterprise data engineering chapter in Dubai. This role bridges the gap between high-performance backend engineering and robust data architecture, focusing on the end-to-end delivery of scalable business platforms and data-driven enterprise systems.
The ideal candidate will possess expert-level proficiency in core Python, modern asynchronous web frameworks, and distributed microservices architectures. You will be responsible for designing secure RESTful APIs, building efficient data transformation (ETL) pipelines to serve massive datasets, and optimizing both relational and NoSQL database layers.
Requirements
Key Responsibilities
Python microservices & API development
Design, develop, and maintain secure, scalable, and resilient microservices architectures using Python.
Build and serve high-performance RESTful APIs utilizing asynchronous web frameworks such as FastAPI and Flask (or Django/Pyramid).
Optimize concurrent connections and I/O operations using advanced asynchronous programming patterns (asyncio).
Collaborate closely with front-end developers and cross-functional teams to integrate user-facing elements with complex server-side data logic.
Data transformations & schema management
Design, build, and optimize robust data transformation pipelines and ETL (Extract, Transform, Load) processes to clean, aggregate, and enrich large datasets for analytical consumption.
Architect and maintain database schemas across both relational and NoSQL data storage solutions, ensuring data integrity, quality, and consistency.
Implement optimized data access layers using Object-Relational Mappers (ORMs) like SQLAlchemy or Django ORM to abstract and streamline CRUD operations, data queries, and transaction handling.
Security, DevOps & platform engineering
Enforce security best practices across all microservices, implementing robust authentication, authorization, and encryption protocols using OAuth, JWT, and API gateways.
Act as a core developer focused on productionizing frameworks, taking ownership of developing and maintaining automated CI/CD pipelines.
Utilize advanced debugging, logging, profiling, and testing techniques (unit testing, integration testing) to ensure code reliability.
Technical specifications & skills
Core technical stack (essential)
Programming & frameworks: Expert Python development. Hands-on experience with FastAPI, Flask, asyncio, and routing/templating workflows.
ORMs & databases: Strong database manipulation using SQLAlchemy or Django ORM. High proficiency in writing complex SQL and database tuning.
Security: Solid experience securing microservices via JWT, OAuth, and gateway configurations.
Tooling & scripting: Strong shell scripting prowess and version control mastery (Git workflow: branching, merging, pull requests).
Engineering practices: Demonstrated background productionizing code and configuring CI/CD automation.
Data ecosystem awareness & preferred skills
Big data awareness: Familiarity with data warehousing concepts and big data technologies (e.g., Hadoop, Spark, Kafka).
Cloud & containers (preferred): Practical exposure to cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
Data governance (preferred): Awareness of data compliance, data governance, and enterprise data security principles.
Qualifications & experience
Education: Bachelor’s degree in Computer Science, Information Technology, or a related quantitative technical field.
Experience: Proven track record as a core Python/Data engineer delivering production-grade microservices and data pipelines in an enterprise environment.
Soft skills: Exceptional problem-solving abilities with high attention to detail. Excellent communication, team collaboration, and documentation skills to present technical considerations effectively to stakeholders.
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