Middle Data Engineer

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 (BigQuery, 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 BigQuery, 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 ID and relocation to Doha, Qatar

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