Junior Data Engineer: Build and Maintain GCP Pipelines

Remotedxb; Dubai; On-site; AED 180,000 - 240,000; Full time

Benefits offered by this job

Caju benefits (Meal, Food, Mobility, H

Medical Assistance

Dental Assistance

Life Insurance

Wellhub (Gym access across Brazil)

Wellz (Mental health platform)

Parental Leave

Pet Health Plan discount

Job summary

Remotedxb is seeking a Data Engineer to build and operate data pipelines on Google Cloud Platform in a production environment.

You will monitor data flows with Cloud Composer (Airflow), investigate incidents, and contribute to the reliability and scalability of analytics platforms. Collaborate with Analytics, Data Science and Software Engineering teams; document procedures and help evolve best practices with a proactive, learning mindset.

Qualifications

• Strong knowledge of Python, Spark and SQL for data manipulation.
• Understanding of data engineering and cloud architecture concepts.
• Analytical and problem-solving skills.
• Clear, proactive communication with team and stakeholders.
• Reliable with deadlines and production monitoring.
• Willingness to learn and improve processes.

Responsibilities

• Operate and support data pipelines on GCP.
• Monitor data flows orchestrated by Cloud Composer (Airflow).
• Resolve incidents and root-cause analysis for data reliability.
• Support Analytics, Data Science, and Software Engineering teams.
• Document operational routines and troubleshooting procedures.
• Contribute to evolving best practices and data platform infra.

Skills

Python

Spark

SQL

Data engineering concepts

Analytical thinking

Communication

Organization

Learning mindset

Tools

GCP

Airflow/Cloud Composer

BigQuery

Cloud Storage

Job description

Remotedxb is seeking a Data Engineer to build and operate data pipelines on Google Cloud Platform in a production environment.

You will monitor data flows with Cloud Composer (Airflow), investigate incidents, and contribute to the reliability and scalability of analytics platforms. Collaborate with Analytics, Data Science and Software Engineering teams; document procedures and help evolve best practices with a proactive, learning mindset.