Qeema

Build your career where enterprise technology gets built

Join Qeema's Future Engineers Program

At Qeema, trainees don't sit on the sidelines. They become part of the teams building enterprise platforms, data ecosystems, and digital solutions used by some of the region's largest organizations.

Whether your passion is software engineering, quality engineering, or data management, our Future Engineers Program gives you the opportunity to learn from industry experts, work on real projects, and build the foundation for a successful technology career.

Program highlights

100+Engineers trained
1:1Dedicated mentorship
2Projects across countries
Tier 1Enterprise solutions

Why join Qeema? Learn. Build. Grow.

Our training programs are designed to bridge the gap between academic learning and real-world enterprise technology delivery.

  • Work on real projects

    Gain hands-on experience contributing to enterprise applications, data platforms, testing frameworks, and operational solutions used by leading organizations across telecommunications, utilities, healthcare, and enterprise sectors.

  • Learn from industry experts

    Work alongside experienced architects, engineers, consultants, and delivery teams who provide practical mentorship and continuous guidance throughout your journey.

  • Accelerate your career

    Many of our trainees successfully transition into full-time roles, becoming part of Qeema's engineering and delivery organizations.

  • Experience our culture

    Join a collaborative environment that values curiosity, innovation, teamwork, and continuous learning.

Choose your engineering path

Four training tracks, each with a structured curriculum and a real project at the end.

  • Frontend Development

    Master the art of building responsive, user-centric interfaces. From core web tech to modern frameworks, learn to transform mockups into seamless digital experiences.

    • HTML
    • CSS
    • JavaScript
    • Angular
    • Git
    • API integration
    • Agile
    • RxJS
    What you'll learn
    1. Orientation, Tooling, & Architecture Overview
    2. Frontend Fundamentals: HTML, CSS, Git, & Agile
    3. JavaScript Essentials & DOM Manipulation
    4. Angular: Components, Standalone, & Routing
    5. Forms, Validation, & Service Architecture
    6. API Integration & Security (Routing Guards)
    7. Project Planning, Setup, & Sprint Simulation
    8. Development Sprints & Rigorous Code Reviews
    9. Finalization, Testing, & Demo Day Presentation
  • Backend Development

    Build the scalable, secure logic that powers applications. Dive deep into robust architecture, API engineering, database design, and modern cloud deployment.

    • Java
    • Spring Boot
    • Spring Data JPA
    • Docker
    • Kubernetes
    • RabbitMQ
    • Keycloak
    • JWT
    • GitLab
    • Flyway
    What you'll learn
    1. Environment Setup, GitLab & Architecture
    2. Java, Spring Boot & REST APIs
    3. Spring Data JPA, CRUD & Database Design
    4. API Design, Security Basics, Validation, & JWT
    5. Flyway, Testing & Quality Assurance
    6. Docker, RabbitMQ, CI/CD & Monitoring
    7. Databases: Relational Modeling & JPA Advanced
  • AI & ML

    Build production-ready AI applications using machine learning, LLMs, RAG, and AI agents.

    • Python
    • PyTorch
    • Hugging Face
    • LangChain
    • LangGraph
    • MLflow
    • Vector DB
    • FastAPI
    What you'll learn
    1. Machine learning
    2. Deep learning
    3. Large Language Models (LLMs)
    4. Prompt engineering
    5. RAG and vector databases
    6. AI agents and Agentic AI
    7. Model evaluation and responsible AI
    8. Deployment, monitoring, and MLOps
  • Data Management

    Architect the trusted data foundations of the modern enterprise. Learn to design, integrate, and scale powerful data ecosystems that drive intelligence.

    • SQL
    • Big Data
    • Databricks
    • Kafka
    • Airflow
    • PySpark
    • Snowflake
    • Delta Lake
    • AWS S3
    What you'll learn
    1. SQL for Data Professionals
    2. Advanced Data Warehousing & Modeling
    3. Dimensional Modeling Techniques
    4. Data Integration & Advanced ETL Development
    5. Python & Spark for Data Engineering
    6. PySpark, Big Data, & Lakehouse Architectures
    7. Emerging Data Technologies (Delta Lake)
    8. Capstone Project, Demo, & Presentation

Passion matters more than perfection

We're looking for people who:

  • Enjoy solving problems and learning new technologies.
  • Are curious, motivated, and willing to continuously improve.
  • Enjoy teamwork and collaboration.
  • Are comfortable saying: "I don't know yet, but I'm excited to learn."

People who are studying or recently graduated in:

  • Computer Science
  • Software Engineering
  • Information Systems
  • Data Science
  • Computer Engineering
  • Related technology disciplines

Your journey with Qeema

What you can expect, from application to your first day.

  1. Phase 1

    Apply

    Submit your application and tell us about yourself, your interests, and your projects.

  2. Phase 2

    Initial review

    Our engineering teams review your background and career interests.

  3. Phase 3

    Introductory discussion

    A friendly conversation to understand your goals, motivation, and interests.

  4. Phase 4

    Technical assessment

    A practical discussion or exercise designed to evaluate how you think and solve problems.

  5. Phase 5

    Welcome to Qeema

    Successful candidates join our Future Engineers Program and begin their learning journey with our teams.

Build what matters

At Qeema, we believe great engineers are built through curiosity, mentorship, and real-world experience. Join us and become part of the teams building enterprise platforms, AI solutions, data ecosystems, and digital transformation programs across the region.

Start your journey

Future Engineers Program application

The final step opens an email draft. Attach your CV in your email app before sending. Fields are required unless marked optional.

  1. Career track
  2. Personal information
  3. Skills & bio
  4. CV & links
Preferred career track