AI Data Engineer

Caliberly; Dubai; On-site; AED 120,000 - 200,000; Full time

Job summary

A leading company is seeking an AI Data Engineer to design and maintain data pipelines crucial for AI and ML projects. This full-time role involves collaborating with data scientists and developers, ensuring data integrity, and optimizing data processes. The ideal candidate will possess strong programming skills and significant experience in data engineering within AI contexts.

Benefits

Accommodation support

Meal allowances

Assistance with work visa processing

Holiday bonuses

Latest equipment provided

Expense reimbursements for home visits

Qualifications

• 5 years of experience in data engineering, preferably with AI/ML workflows.
• Proficiency in programming languages: Python, Scala, or Java.
• Hands-on experience with data orchestration tools like Apache Airflow.

Responsibilities

• Design, build, and manage scalable data pipelines for AI/ML systems.
• Collaborate with AI teams to understand data requirements and deliver datasets.
• Monitor data pipelines for performance and automate error handling.

Skills

Python

Scala

Java

SQL

NoSQL

ETL

Machine Learning

Data Pipelines

Education

Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field

Tools

AWS

Azure

GCP

Apache Airflow

Databricks

TensorFlow

Docker

Job description

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.