Remote Senior Data Engineer – UAE Timezone

Job Overview

A Remote Senior Data Engineer is needed for an immediate joiner or someone who has already served notice. The role is 100% remote on the UAE timezone with 8+ years of mandatory experience in data engineering and analytics.

Responsibilities

This role typically involves:

• Building and maintaining data warehouses and ETL/ELT pipelines.
• Working with Databricks, Snowflake, DBT Cloud, and Apache Airflow.
• Developing analytics solutions on Azure Data Factory and Azure Cloud.
• Ensuring data quality and scalability.
• Optimizing query and pipeline performance.
• Collaborating with analytics teams to understand requirements.

Qualifications

• 8+ years of experience (must).
• Proficiency in SQL and Python.
• Expertise with Snowflake, Databricks, DBT Cloud, Apache Airflow, ETL/ELT, and Azure Data Factory.
• Strong understanding of data warehousing, analytics, and Azure Cloud architecture.

Professional Skills

Useful skills for this role include problem-solving, analytical thinking, time management, remote teamwork, clear technical documentation, and attention to data quality.

Work Details & Application

This is a 100% remote position on the UAE timezone, with salary up to 60 LPA. To apply, send your CV to gupta@contrive-solutions.com.

Summary for Job Seekers

This is a Remote Senior Data Engineer opportunity for candidates with 8+ years of Databricks and Snowflake experience who want remote work on the UAE timezone.

Additional Application Tips

Before applying, make sure your CV is up to date and highlights the skills and experience most relevant to the role. Prepare your portfolio if one is required, and write a short cover note explaining why you are a good fit and your comfort with remote work. Ensure you have a stable internet connection and a quiet workspace, as remote roles require strong self-discipline, independent time management, and effective team communication.

Notes on Remote Work

Remote work in this role requires delivering tasks on time, transparent communication through digital collaboration tools, and the ability to solve problems independently without direct supervision. A successful candidate is also expected to be organized, set priorities, and document progress regularly, as well as show self-discipline and flexibility when dealing with time-zone differences. Maintaining regular, clear communication with the rest of the team is essential to keep work running smoothly, along with a willingness to keep learning and developing new skills.