Senior Data & AI Platform Engineer

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.