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.