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Senior Data And AI Platform Engineer
Timesworld
, UAE
Full Time
Senior
PythonPostgreSQLMongoDBKafkaAirbyteSnowflake
Free
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About the Role
Timesworld is seeking a Senior Data & AI Platform Engineer in Dubai to design scalable backend systems, data architecture, and pipelines. The role involves building data ingestion pipelines, unified data models, and collaborating with AI/ML teams.
Key Skills for This Role
PythonPostgreSQLMongoDBKafkaAirbyteSnowflake
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
Requirements
- Bachelor's degree in Computer Science, Information Technology, Software Engineering, Data Science, or a related field; Master's degree is an advantage
- 5 7 years of experience
- Strong working knowledge of relational databases (e.g., PostgreSQL, MS SQL Server, MySQL)
- Working knowledge of NoSQL databases (e.g., MongoDB, SQLite, TimescaleDB, Redis)
- Understanding of graph databases (e.g., Apache AGE, Neo4j concepts)
- Ability to design data ingestion pipelines, transformation layers (ETL/ELT), and unified data models
- Expertise in system scalability and performance optimization
- Solid understanding of distributed systems and backend architecture
- Strong knowledge of data lake architecture and data warehousing concepts
- Strong knowledge of REST APIs and API design (FastAPI / Flask / Django)
- Experience with cloud platforms (AWS / GCP / Azure) is a plus
- Exposure to real time data processing systems is a plus
Full Job Posting
Job Details
- We are looking for a Senior Data & AI Platform Engineer with strong expertise in data architecture, database design, and scalable system development.
- The ideal candidate should have a deep understanding of data engineering concepts, modern data platforms, and the 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
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
- Expertise in system scalability and performance optimization
- Solid understanding of distributed systems and backend architecture
- 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)
Core Platforms & Technologies (Required)
- Relational databases strong hands on experience required (e.g. PostgreSQL, MS SQL Server, MySQL)
- Non relational / NoSQL databases working knowledge required (e.g. MongoDB, SQLite, TimescaleDB, Redis)
- Graph databases understanding of graph data models (e.g. 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
- Ability to design scalable backend architectures
- Define and manage data flow across systems
- Guide integration strategies between multiple services and platforms
Good to Have (Additional)
- 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
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