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Job Description & How to Apply Below
Data## About the position
We’re looking for a Middle Data Engineer to join our Data & AI Department and work closely with cross-functional Marketing & product teams. In this role, you’ll design, build, and maintain scalable data pipelines that support analytics, reporting, and AI/ML use cases. You’ll work in a cloud-native environment on GCP, collaborate with analysts and data scientists, and help ensure data reliability, quality, and accessibility across the organization.##
Responsibilities
* Build and maintain scalable data pipelines using Apache Airflow and GCP (Big Query, Cloud Storage, Dataform)
* Develop and optimize ETL/ELT workflows for batch, streaming, and diverse data sources
* Improve pipeline and query performance through tuning, partitioning, and clustering
* Ensure data quality, reliability, and freshness through monitoring and validation
* Apply data governance standards, including access control and schema management
* Monitor pipelines, resolve failures, and meet defined SLAs
* Write clean, well-documented code and maintain technical documentation
* Work closely with analysts, data scientists, and product teams to deliver usable data## Requirements
* 3+ years of experience as a Data Engineer working with cloud-native data architectures
* Strong Python skills with a focus on maintainable, testable, and modular code (OOP, error handling, logging)
* Advanced SQL skills, including complex queries and performance optimization
* Deep hands-on experience with Apache Airflow (DAG design, retries, sensors, custom operators)
* Strong experience with Google Cloud Platform, especially Big Query, Cloud Storage, and Dataform
* Solid understanding of data warehousing, data modeling, and ETL/ELT best practices
* Experience working with MySQL and Oracle as source systems
* Familiarity with Git and CI/CD workflows
* Understanding of data security, privacy, and monitoring best practices
* Working knowledge of Docker and containerization
** Nice to Have
*** Experience supporting analytics and AI/ML workloads
* Exposure to streaming data pipelines
* Experience working in cross-functional, product-driven teams## We offer
* Long-term service agreement contract with QIC with 3 months probation period
* We are diverse — our digital nomads work remotely from 25+ different countries
* Payment in US dollars monthly to your bank account using SWIFT
* Full-time remote, work schedule: 5 days per week, Sunday to Thursday, GMT +3 timezone
* Vacation policy:
Qatar Holiday Calendar, 20 vacation days, 10 sick offs
* Performance reviews are conducted twice a year, with the possibility of a raise
* Potential opportunity to apply for a Qatar relocation to Doha, Qatar Application sent!
We will reach you out in a few days
Oops! Something went wrong while submitting the form.## Benefits### Remote health insurance
Quality healthcare, wherever you are in the world—with up to $1,500 in dental coverage included.### Language classes
Master communication. Learn English, Arabic—or any second language of your choice.### Mental health support
Wellbeing isn’t optional. Get access to services like Yasno—with 70% covered—and recharge with 3 extra Mental Health Days each year.### Tax consultations
We’ll guide you through the complexity of local and international tax rules.### Professional development
Your growth is our shared goal. We’ll support it with $600/year for additional courses, plus internal workshops.### QIC running club
Join our Strava club for weekly motivation, coaching, and marathon support.### USD, EUR, or AED salary payouts
Get paid in USD, EUR, or AED—whichever fits your setup best.### Extra paid leave
Enjoy generous vacation time, paid sick leave, and bonus days for years of service.## Technologies we work with
We are open to working with new stacks and technologies that can help us build the best solutions on the market
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