Python Data Engineer

Valuelabs; Dubai; On-site; AED 360,000 - 600,000; Full time

Job summary

Valuelabs in Dubai seeks a skilled Python Engineer to design robust web frameworks and backend systems to serve data via APIs. You will implement ETL pipelines, integrate with SQL/NoSQL databases, and ensure security and performance in a microservices setup.

The role requires strong Python expertise, experience with Django/Flask/Pyramid, and collaboration with frontend teams to deliver secure, scalable solutions. Knowledge of cloud and container tech is a plus.

Qualifications

• > Bachelor’s degree in Computer Science, Information Technology, or a related field.
• }>“Demonstrated experience as a core developer focused on productionising frameworks and CI/CD pipelines.”
• > Strong background in developing and maintaining CI/CD pipelines.
• > Familiarity with big data technologies (Hadoop, Spark, Kafka) and data warehousing concepts.
• > Proficiency in scripting languages such as SQL and Shell.
• > Experience with version control systems (Git) and collaborative development.
• > Strong problem-solving skills with attention to detail.
• > Excellent communication and collaboration skills.

Responsibilities

• Be proficient in core Python language concepts and features.
• Experience with web frameworks such as Flask and FastAPI for developing RESTful APIs.
• Skill in asynchronous programming using asyncio and handling concurrent connections and optimizing I/O operations.
• Deep understanding of microservices architecture and ability to write clean, efficient, and maintainable code.
• Knowledge of security best practices for microservices, including authentication, authorization, encryption, and securing APIs using OAuth, JWT, and API gateways.
• Design, develop, and maintain scalable web frameworks using Python.
• Collaborate with front-end developers to integrate user-facing elements with server-side logic while ensuring security, performance, and maintainability.
• Use web frameworks such as Django, Flask, Pyramid for routing, templating, database integration, authentication, testing, and ORM usage.
• Develop backend systems to serve datasets via APIs and other interfaces.
• Implement data access layers and integrate with relational and NoSQL databases.
• Optimize backend code for performance, scalability, and reliability.
• Use ORMs such as SQLAlchemy or Django ORM for database interactions, CRUD operations, querying, and transaction handling.
• Design and maintain database schemas, optimize performance, and ensure efficient data retrieval.
• Implement and manage data storage solutions (relational & NoSQL).
• Design and implement ETL pipelines to process, clean, aggregate, and enrich data for analysis.
• Ensure data integrity, quality, and consistency throughout transformations.
• Debug and test code, using logging, breakpoints, unit tests, and integration tests.
• Use version control systems like Git for code management and collaboration.
• Communicate effectively with clients, stakeholders, and colleagues; write clear documentation and adhere to coding standards.

Skills

Python

REST APIs

AsyncIO

Microservices

Security best practices

SQL

Shell

Git

CI/CD

Big data

Data warehousing

Documentation

Education

Bachelor’s degree in Computer Science / IT

Tools

Django

Flask

Pyramid

Job description

Overview

We are seeking a skilled Python Engineer to join our dynamic team. The ideal candidate will be responsible for developing robust web frameworks, building backend code to efficiently serve datasets, and performing data transformations to support our data‑driven applications.

Roles and Responsibilities

• Be proficient in core Python language concepts and features.
• Experience with web frameworks such as Flask and FastAPI for developing RESTful APIs.
• Skill in asynchronous programming using asyncio and handling concurrent connections and optimizing I/O operations.
• Deep understanding of microservices architecture and ability to write clean, efficient, and maintainable code.
• Knowledge of security best practices for microservices, including authentication, authorization, encryption, and securing APIs using OAuth, JWT, and API gateways.
• Design, develop, and maintain scalable web frameworks using Python.
• Collaborate with front‑end developers to integrate user‑facing elements with server‑side logic while ensuring security, performance, and maintainability.
• Use web frameworks such as Django, Flask, Pyramid for routing, templating, database integration, authentication, testing, and ORM usage.
• Develop backend systems to serve datasets via APIs and other interfaces.
• Implement data access layers and integrate with relational and NoSQL databases.
• Optimize backend code for performance, scalability, and reliability.
• Use ORMs such as SQLAlchemy or Django ORM for database interactions, CRUD operations, querying, and transaction handling.
• Design and maintain database schemas, optimize performance, and ensure efficient data retrieval.
• Implement and manage data storage solutions (relational & NoSQL).
• Design and implement ETL pipelines to process, clean, aggregate, and enrich data for analysis.
• Ensure data integrity, quality, and consistency throughout transformations.
• Debug and test code, using logging, breakpoints, unit tests, and integration tests.
• Use version control systems like Git for code management and collaboration.
• Communicate effectively with clients, stakeholders, and colleagues; write clear documentation and adhere to coding standards.

Required Skills and Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Demonstrated experience as a core developer focused on productionising frameworks and CI/CD pipelines.
• Strong background in developing and maintaining CI/CD pipelines.
• Familiarity with big data technologies (Hadoop, Spark, Kafka) and data warehousing concepts.
• Proficiency in scripting languages such as SQL and Shell.
• Experience with version control systems (Git) and collaborative development.
• Strong problem‑solving skills with attention to detail.
• Excellent communication and collaboration skills.

Optional Skills

• Experience with cloud platforms (AWS, Azure, GCP) and container technologies (Docker, Kubernetes).
• Knowledge of data governance, compliance, and security best practices.