Chalhoub Group Senior Data Quality Engineer

About Chalhoub Group

Founded in 1955 by Michel and Widad Chalhoub, Chalhoub Group has grown into a leading partner for luxury across the Middle East. Headquartered in Dubai, the family-owned group brings together international maisons and homegrown concepts across fashion, beauty and lifestyle, combining regional expertise with retail and distribution capabilities. As an employer, it offers career opportunities spanning client experience, brand management, merchandising, logistics and digital innovation. Its multicultural environment connects employees with the evolving expectations of luxury consumers, while its emphasis on learning, entrepreneurship and sustainability provides a distinctive setting for professionals seeking to shape the region’s luxury landscape.

Role & Responsibilities

• Lead data quality engineering across e-commerce and ERP data pipelines.
• Design automated data validation, profiling, and anomaly detection rules, including ML-based detection, using data testing tools such as Great Expectations, Soda, and Monte Carlo, as well as dbt and SQL.
• Define data quality dimensions, including freshness, completeness, validity, and schema drift, with severity levels, scoring, and quality SLAs.
• Build reconciliation frameworks and resolve cross-system data reconciliation errors across e-commerce, POS, and ERP feeds.
• Establish data quality checks, monitoring, and alerting in Google BigQuery or another MPP data warehouse such as Snowflake, and present data quality findings and scorecards to stakeholders.
• Support master data management and Golden Record harmonization across systems.
• Use data cataloging and lineage tools, including DataHub, to trace, prioritize, and resolve data quality issues.
• Provide technical guidance and mentoring to data quality engineers, and collaborate with data governance and engineering teams.

Qualifications

• Experience designing data validation, profiling, and anomaly detection, including ML-based detection, across e-commerce and ERP pipelines.
• Experience defining data quality dimensions, severity, scoring, SLAs, and reconciliation frameworks.
• Experience resolving cross-system data reconciliation errors and supporting master data management.
• Familiarity with data cataloging and lineage tools such as DataHub and MPP cloud data warehouses such as Google BigQuery and Snowflake, with the ability to provide technical mentoring.
• Hands-on experience with AI coding assistants such as Claude Code, GitHub Copilot, and Cursor for AI-assisted development.

Skills

Experience

Minimum 5 years of experience in data quality engineering or data engineering.

Benefits

Health care, child education contribution, remote and flexible working policies, exclusive employee discounts, learning and development opportunities, and exposure to different assignments within the role or through internal mobility.

Culture

Chalhoub Group combines its heritage as a family-owned business with the dynamism of the Middle East’s luxury sector, fostering a multicultural workplace rooted in collaboration and long-term relationships. Its culture emphasizes continuous learning, entrepreneurial initiative and excellence in customer experience, encouraging employees to develop their expertise while contributing to the evolution of luxury retail.

About Cerulean

Cerulean is the definitive career portal for the global luxury industry. We match exceptional professionals with exclusive opportunities at the world's most prestigious brands. From haute couture and fine watchmaking to prestige beauty, hospitality, and boutique retail, Cerulean centralises luxury employment to help you find the career for which you were destined.