Senior Data & AI Platform Engineer
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Key skills for this role
About the Role
Timesworld is looking for a Senior Data & AI Platform Engineer in Dubai to design scalable backend systems, data architecture, and data pipelines. The role requires 5-7 years of experience and expertise in data engineering, databases, and system design.
Key Skills for This Role
Responsibilities
- Design and develop scalable backend 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
- Work closely with AI/ML team to understand data requirements for model training and feature engineering
- Prepare, validate, and deliver clean, structured data to support AI/ML systems
- Consume and integrate outputs from ML models into data pipelines and backend systems
Requirements
- Bachelor's degree in Computer Science, Information Technology, Software Engineering, Data Science, or related field
- 5 7 years of experience
- 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)
- Strong hands on experience with relational databases (e.g. PostgreSQL, MS SQL Server, MySQL)
- Working knowledge of NoSQL databases (e.g. MongoDB, SQLite, TimescaleDB, Redis)
- Understanding of graph data models (e.g. Apache AGE, Neo4j concepts)
- Currently residing in the UAE
Full Job Posting
Job Details
- Looking for a Senior Data & AI Platform Engineer with strong expertise in data architecture, database design, and scalable system development.
- Ideal candidate should have deep understanding of data engineering concepts, modern data platforms, and ability to design robust, scalable backend systems and data pipelines.
Key Responsibilities
- Design and develop scalable backend 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.
- 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.
Requirements (Qualifications/Experience/Competencies)
- Bachelor's degree in Computer Science, Information Technology, Software Engineering, Data Science, or a related field.
- 5 7 years of experience.
- Strong knowledge of data modelling (OLTP vs OLAP).
- Strong knowledge of data lake architecture (primary) and data warehousing concepts.
- Strong knowledge of REST APIs and API design (FastAPI / Flask / Django).
- Strong hands on experience with relational databases (e.g. PostgreSQL, MS SQL Server, MySQL).
- Working knowledge of NoSQL databases (e.g. MongoDB, SQLite, TimescaleDB, Redis).
- Understanding of graph data models (e.g. Apache AGE, Neo4j concepts).
- Comfortable working across multi database environments.
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