Remote Data Engineer: Scale Data Pipelines for AI

Xperteez Technology Pvt Ltd; Dubai Emirate; Remote; AED 331,000 - 551,000; Full time

Benefits offered by this job

Equity compensation

Bonuses

Health insurance

Job summary

Xperteez Technology Pvt Ltd. is seeking a Data Engineer to build and scale data infrastructure powering AI-driven products. You will design and maintain distributed data pipelines, manage large datasets across cloud environments, and enable data processing, experimentation, and model development at scale.

The role emphasizes Python/SQL, Spark, and AWS-based architectures, with a remote-first team and competitive compensation including equity and bonuses.

Qualifications

• Strong proficiency in Python, SQL and distributed data processing frameworks such as Apache Spark.
• Hands-on experience with AWS data services and cloud-native data architectures.
• Experience with both SQL and NoSQL databases and large-scale datasets.

Responsibilities

• Design, build, and maintain scalable data pipelines to ingest, process, and transform large-scale datasets.
• Develop and optimize distributed data processing workflows using Spark and cloud-native technologies.
• Build and maintain data storage solutions across SQL and NoSQL systems for scalability and reliability.
• Design data architectures on AWS to support high-volume ingestion and distribution.
• Write Python and SQL to extract, transform, validate, and analyze datasets.
• Ensure data quality, monitoring, and operational reliability across pipelines and storage.
• Collaborate with AI researchers, data scientists, and engineers to support data-intensive apps.
• Implement automation, orchestration, and monitoring for scalable data operations.

Skills

Python

SQL

Apache Spark

AWS

NoSQL databases

Distributed processing

Job description

Xperteez Technology Pvt Ltd. is seeking a Data Engineer to build and scale data infrastructure powering AI-driven products. You will design and maintain distributed data pipelines, manage large datasets across cloud environments, and enable data processing, experimentation, and model development at scale.

The role emphasizes Python/SQL, Spark, and AWS-based architectures, with a remote-first team and competitive compensation including equity and bonuses.