Join Quantum One as a Data Engineer to design and develop data pipelines, collaborate with cross-functional teams, and contribute to building a modern data platform. This role offers the opportunity to work on mission-critical projects with the UAE's largest organizations. We're looking for a highly skilled and motivated individual with 2-3+ years of experience in Data Engineering.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
About Us
Quantum One is a leading AI solutions provider in UAE. Our firm was founded by a group of professionals from McKinsey & Company and BCG. We focus on integrating advanced AI capabilities with strategic business insight to deliver measurable impact across various sectors.
We’re looking for a highly skilled and motivated Data Engineer to join our team remotely. This role offers the opportunity to work on mission-critical projects with the UAE's largest organizations, supported by relocation assistance.
Our Offer & Your Growth
We are committed to investing in our talent. Quantum One provides a competitive compensation package and clear career progression paths with opportunities for rapid advancement.
Responsibilities
- Design and develop data pipelines (batch and streaming);
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- Develop and maintain ETL/ELT processes, ensuring data quality, availability, and reliability;
- Design architectures for data storage: DWH, Data Lake, Lakehouse;
- Collaborate with Data Science, backend engineers, and analysts;
- Contribute to building a modern data platform.
Experience & Competencies
- 2–3+ years of experience in Data Engineering;
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- Strong production-level Python development experience;
- Deep knowledge of SQL and understanding of query optimization;
- Hands-on experience with Spark (PySpark), Kafka, Airflow;
- Experience building DWHs (Snowflake, ClickHouse, PostgreSQL);
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- Understanding of Data Lake, Lakehouse, Medallion architectures;
- Experience with Databricks;
- Experience working with cloud platforms (AWS/Azure): IAM, S3, containerization (Docker);
- Knowledge of CI/CD (GitLab CI, GitHub Actions), IaC (Terraform);
- Understanding of Data Quality, observability, and data lineage principles;
- Experience working with orchestration systems (Airflow/Dagster)
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