Senior Data & AI Platform Engineer

Timesworld; Dubai; On-site; AED 150,000 - 200,000; Full time

Job summary

Timesworld is seeking a Senior Data & AI Platform Engineer in Dubai. The role involves designing scalable back-end systems, managing data architectures, and collaborating with AI teams.

The ideal candidate should have a Bachelor's degree in a relevant field and 5–7 years of experience in data engineering, with solid capabilities in data ingestion and processing. Immediate joiners are preferred and candidates must be residing in the UAE.

Qualifications

• Bachelor's degree in Computer Science, IT, Software Engineering, or Data Science.
• 5–7 years of relevant experience in data engineering.
• Hands-on experience with modern data tools and cloud platforms.

Responsibilities

• Design and develop scalable back-end systems and data pipelines.
• Collaborate with AI/ML teams and ensure data availability.
• Implement data architecture strategies and optimize performance.

Skills

Data architecture

Database design

Scalable system development

Data ingestion pipelines

REST APIs design

Cloud platforms (AWS/GCP/Azure)

Education

Bachelor's degree in Computer Science or related field

Master's degree (advantage)

Tools

PostgreSQL

MongoDB

Apache AGE

Kafka

Python

Job description

We are looking for a Senior Data & AI Platform Engineer based in Dubai. The ideal candidate will have strong expertise in data architecture, database design, and scalable system development.

Key Responsibilities

• Design and develop scalable back‑end systems
• Define and implement data architecture and database design strategies
• Build and optimize data ingestion and transformation pipelines
• Develop and maintain unified data models across multiple systems
• Design end‑to‑end data flows and integration strategies
• Collaborate with cross‑functional teams to ensure efficient data handling and processing
• Ensure system scalability, performance, and reliability

Machine Learning & AI Integration

• Work closely with the AI/ML team to understand data requirements for model training, feature engineering, and pipeline development
• Prepare, validate, and deliver clean, structured data to support AI/ML systems and intelligent workflows
• Consume and integrate outputs from ML models into data pipelines and backend systems
• Maintain awareness of ML concepts to effectively collaborate with AI/analytics teams

Core Technical Skills

• Back‑end & System Design
• Expertise in system scalability and performance optimization
• Solid understanding of distributed systems and back‑end architecture
• Data Engineering Concepts
• Strong knowledge of data modelling (OLTP vs OLAP)
• Strong knowledge of data lake architecture and data warehousing concepts
• Strong knowledge of REST APIs and API design (FastAPI / Flask / Django)

Core Platforms & Technologies (Required)

• Relational databases – PostgreSQL, MS SQL Server, MySQL
• Non‑relational / NoSQL databases – MongoDB, SQLite, TimescaleDB, Redis
• Graph databases – Apache AGE, Neo4j concepts
• Comfortable working across multi‑database environments – relational, time‑series, graph, and cache layers in a single architecture

Good to Have

• Hands‑on experience with modern data tools such as Kafka, Airbyte, S3/ADLS, Snowflake, or similar platforms

Data Ingestion & Processing – Ability To Design And Implement

• Data ingestion pipelines
• Data transformation layers (ETL/ELT)
• Unified and scalable data models
• System Thinking & Architecture

Data Ingestion & Processing – Ability To

• Design scalable back‑end architectures
• Define and manage data flow across systems
• Guide integration strategies between multiple services and platforms

Data Ingestion & Processing – Good to Have

• Experience with cloud platforms (AWS / GCP / Azure)
• Exposure to real‑time data processing systems
• Knowledge of ML data pipelines or analytics workflows
• Experience using Python for data ingestion pipelines, transformation scripts, and automation workflows is an advantage

What We’re Looking For

• Passion for experimenting with new tools, frameworks, and ideas
• Ability to quickly prototype and iterate on features
• Interest in blending creativity with engineering
• Comfort working in less rigid, exploratory development environments
• Strong curiosity and self‑learning mindset

Bonus Points If You

• Use AI‑assisted coding tools (like GitHub Copilot, Cursor, Antigravity, Claude)
• Build side projects, prototypes, or experimental apps
• Enjoy rapid MVP development, or creative coding
• Stay updated with latest trends in AI, and developer tools

Requirements

Bachelor's degree in Computer Science, Information Technology, Software Engineering, Data Science, or a related field. A Master's degree in a relevant field is an advantage.

5–7 years of experience.

Position is open to candidates currently residing in the UAE only.

Immediate joiners are preferred.