About The CompanyDigital Zone is a key regional player and the Iraqi champion in the e-commerce (e-goods) sector, serving millions of customers on a daily basis.In our short lifetime since Digital Zone was founded, we achieved growth and success metrics that are unforeseen in the region, where “stretch for amazing” became our daily business. Our success is outgrowing our capacity, and now is the time to grow our team.Our Data Team brings together experienced Data Analysts and Data Engineers with strong backgrounds in data pipelines, analytics, statistics, and experimentation. We work closely with cross-functional teams across Finance, Operations, Product, Growth, and Marketing, providing data that drives everyday decisions and long-term growth.What You’ll Be DoingDesign, build, and own end-to-end data pipelines across multiple systems (Raw - Curated - Warehouse)Develop and maintain scalable, reliable ETL/ELT workflows using Python.Lead data modeling and optimization efforts in both, traditional transactional databases and analytical data warehouses for reporting & analytics.Anticipate and manage the downstream impact of data engineering decisions across analytics, BI, and product use casesProactively identify, debug, and resolve data quality, performance, and reliability issuesOptimize pipeline performance, cost, and scalability across storage, compute, and orchestration layersEstablish and enforce best practices for data engineering, documentation, version control, code reviews, and deployment using Github.Build reusable, maintainable, and auditable pipelines with clear assumptions and traceabilityPartner closely with Data Analysts, Product, Operations, Finance, and Tech teams to translate business needs into robust data solutionsContribute to the evolution of the modern data stack, evaluating trade-offs and introducing improvements where appropriatePromote a strong data culture through mentorship, technical leadership, and clear communicationWhat We’re Looking For4–6+ years of experience as a Data Engineer or in a similar data-focused engineering roleStrong experience building production-grade data pipelines using PythonStrong proficiency in SQL and deep hands-on experience with PostgreSQL and ClickHouse is a plusHands-on experience with orchestration tools like Airflow, Dagster, or Mage and data ingestion tools like AirbyteExperience working with data lakes, like AWS S3, Azure Blob storage, or Google Cloud StorageSolid understanding of ETL/ELT design patterns, data modeling fundamentals, and analytical warehousesStrong version control and collaboration skills using GitHubProven ability to design and maintain reliable, scalable, and reusable systemsExperience ensuring data quality, consistency, lineage, and documentationAbility to evaluate architectural trade-offs and make sound engineering decisionsComfortable working across multiple projects with interdependenciesExperience supporting analytics and BI use cases (Metabase or similar tools)Prior experience in e-commerce or marketplace data is a plusAdvanced English communication skills is a plusStrong Soft Skills, IncludingHigh ownership and accountability for end-to-end systems and outcomesProactive communication with technical and non-technical stakeholdersAbility to lead technical discussions and set expectationsStrong documentation and knowledge-management disciplineA mindset that balances technical excellence with business impactOpenness to feedback and a culture of continuous improvementCommitment to data ethics, trust, and responsibility, including compliance and audibility