
G42
Senior Data Engineer (AI and Big Data)
- Permanent
- Abu Dhabi, United Arab Emirates
- Experience 5 - 10 yrs
- Urgent
Job expiry date: 13/12/2025
Job overview
Date posted
29/10/2025
Location
Abu Dhabi, United Arab Emirates
Salary
AED 20,000 - 30,000 per month
Compensation
Comprehensive package
Experience
5 - 10 yrs
Seniority
Senior & Lead
Qualification
Bachelors degree
Expiration date
13/12/2025
Job description
The Senior Data Engineer at Presight, an ADX-listed AI-powered big data analytics company under Abu Dhabiâs G42, is responsible for developing, implementing, and optimizing data engineering solutions that drive actionable insights and AI-driven decision-making. The role focuses on designing, building, and maintaining robust data pipelines and ETL/ELT processes to support Presightâs omni-analytics platform. Key functions include solving complex data challenges using Python, Shell, and Java; conducting web crawling, data cleaning, annotation, ingestion, and processing; and enabling seamless integration of large-scale data sources. The position requires expertise in AWS ecosystem components such as EC2, S3, SQS, Lambda, and Redshift, as well as experience with Elastic Search and CI/CD frameworks. The engineer will work extensively with structured and unstructured data, SQL and NoSQL databases, and will be responsible for query optimization, data segregation, and real-time data processing architectures. Additional duties include supporting dimensional modelling, data warehouse design, and applying machine learning and data mining techniques in areas such as statistical modelling and information retrieval. The role emphasizes compliance with Quality, Health, Safety, and Environment (QHSE), Business Continuity, Information Security, and Governance policies. Presight seeks performance-driven professionals with a passion for innovation, capable of collaborating cross-functionally to deliver scalable, high-impact data infrastructure solutions within a fast-evolving AI ecosystem.
Required skills
Key responsibilities
- Design, build, and launch new data extraction, transformation, and loading (ETL) processes in production environments
- Solve complex data problems using Python coding and automation frameworks
- Develop and maintain data ingestion and processing pipelines across diverse data sources
- Conduct web crawling, data cleaning, and data annotation for large-scale datasets
- Ensure optimal data architecture for efficient data retrieval and transformation
- Implement data solutions leveraging AWS services such as EC2, S3, SQS, Lambda, and Redshift
- Develop analytical tools and dashboards to provide insights into business performance metrics
- Optimize query performance, data segregation, and data processing workflows
- Support the integration of structured and unstructured data into the Presight AI platform
- Apply dimensional modelling and best practices for columnar and distributed data systems
- Monitor, schedule, and manage ETL/ELT workflows ensuring performance and reliability
- Ensure compliance with QHSE, Information Security, and Governance standards across data operations
- Collaborate with cross-functional teams to define data architecture and project deliverables
- Drive process improvements and contribute to ongoing data infrastructure innovation
Experience & skills
- Bachelorâs degree in Computer Engineering, Computer Science, or Electrical Engineering and Computer Sciences
- Minimum of 6 yearsâ programming experience with solid coding skills in Python, Shell, and Java
- Proficiency in data engineering concepts including ETL, ELT, data ingestion, and real-time data architecture
- Hands-on experience with AWS services such as EC2, S3, SQS, Lambda, and Redshift
- Familiarity with Elastic Search and CI/CD frameworks
- Strong knowledge of SQL, NoSQL, PostgreSQL, and database optimization practices
- Experience in designing data lakes, data warehouses, and dimensional data models
- Understanding of data mining and machine learning techniques including statistical modelling and information retrieval
- Good communication skills and corporate professionalism with capacity for cross-functional collaboration
- Commitment to continuous learning, innovation, and compliance with data governance standards