AI Data Engineer
Confirmed on the employer's own hiring board on Nov 11, 2026. First seen by Alion on Nov 11, 2026.
Role : AI Data Engineer
Location: Dubai,UAE
Salary : AED 25000-AED 30000+Visa+Medical Insurance+Flight Tickets (No Family Benefits)
Job Type: Full-time
Job Summary:
We are seeking a highly skilled and motivated AI Data Engineer to design, build, and maintain data pipelines that power our AI and machine learning solutions. You will work closely with data scientists, machine learning engineers, and software developers to ensure the seamless flow, transformation, and integrity of data for AI applications.
Key Responsibilities:
- Design, build, and manage scalable and efficient data pipelines for AI/ML systems.
- Collaborate with AI/ML teams to understand data requirements and deliver high-quality datasets.
- Optimize data storage and retrieval to support low-latency AI workloads.
- Implement ETL/ELT processes using modern data engineering tools and cloud platforms.
- Ensure data quality, consistency, governance, and security across platforms.
- Integrate structured and unstructured data from various sources (APIs, databases, streaming platforms, etc.).
- Work with large-scale distributed systems and big data technologies such as Spark, Hadoop, Kafka, etc.
- Monitor data pipelines for performance and reliability; automate error handling and recovery.
- Contribute to the development and deployment of AI/ML models in production environments.
- Document data processes, schemas, and infrastructure for cross-functional use.
Qualifications:
Education & Experience:
- Bachelor's or Masters degree in Computer Science, Data Engineering, or a related field.
- 5 years of experience in data engineering, preferably with exposure to AI/ML workflows.
Technical Skills:
- Proficiency in programming languages like Python, Scala, or Java.
- Experience with cloud platforms such as AWS, Azure, or GCP (e.g., S3, Redshift, BigQuery, Databricks).
- Hands-on experience with data orchestration tools (e.g., Apache Airflow, Prefect).
- Proficiency in SQL and NoSQL databases.
- Familiarity with machine learning workflows and tools (TensorFlow, PyTorch, MLflow, etc.) is a plus.
- Knowledge of data lakehouse architectures and MLOps pipelines is desirable.
- Experience with containerization (Docker) and CI/CD pipelines is an advantage.
Soft Skills:
- Strong problem-solving and analytical thinking skills.
- Ability to work in a fast-paced, collaborative environment.
- Excellent communication skills with both technical and non-technical stakeholders.
- Detail-oriented with a strong sense of ownership and accountability.
Preferred Qualifications:
- Experience with real-time data processing and stream analytics (Kafka, Flink, etc.).
- Exposure to GenAI or LLM-based applications.
- Certification in cloud or data engineering platforms (e.g., AWS Certified Data Analytics, GCP Data Engineer).
What we offer:
Competitive Compensation: Enjoy a salary package tailored to your skills and
experience, along with performance-based bonuses.
Comprehensive Benefits: We support your well-being with accommodation, meal
allowances, and assistance with work visa processing.
Work-Life Balance: Unwind with generous holiday and New Year bonuses.
Top-Tier Equipment: Stay productive with the latest tools, including a MacBook and
iPhone.
Thriving Culture: Immerse yourself in a dynamic, inclusive work environment that
fosters growth.
Employee Support: Enjoy twice-yearly expense reimbursements for home visits.