About the Job:
INSPIRE | EXHILARATE | DELIGHT
For over seven decades, the company has been a cornerstone of luxury experiences in the Middle East. As a hybrid luxury retailer, the company has curated a portfolio of over 10 owned brands and enhanced its distribution and marketing expertise for more than 400 international names across luxury fashion, beauty, jewellery, watches, eyewear, and art de vivre categories.
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The company is committed to innovation and the use of new technologies to shape the future of luxury retail. With more than 950 stores, online platforms, and mobile apps, it provides seamless omnichannel experiences. Driving innovation within the company is The Greenhouse, an innovation hub dedicated to startups and emerging businesses.
The company culture emphasizes people-at-heart values grounded in diversity, equity, and inclusion. With over 16,000 professionals spanning eight countries in the Middle East and a presence in LATAM, the company is recognized as a Great Place to Work® in multiple markets. Sustainability is integral to the company's strategy, with commitments aligned with the United Nations Global Compact and goals to reach Net Zero by 2040.
Responsibilities:
- Design end-to-end technical solutions that yield data products aligned with business objectives.
- Translate business requirements into precise technical specifications and actionable tasks.
- Build and maintain reliable ingestion pipelines for new data sources, utilizing existing tools and custom methods as needed.
- Write clean, performant, secure Python code for ETL/ELT processes, automation, APIs, and data validation.
- Develop and orchestrate workflows using Google Cloud Platform services and related tools.
- Transform and prepare datasets for analytics and downstream use.
- Optimize data warehouse performance through model design and query enhancement, including partitioning and clustering.
Must-Have Qualifications:
- 3+ years of experience in building and operating production data pipelines (or equivalent).
- Advanced SQL capabilities and a strong understanding of analytics/dimensional modeling.
- Strong Python skills (ETL/ELT, APIs, data validation, packaging, scripting).
- Hands-on experience with at least three of the following: BigQuery or equivalent MPP cloud data warehouse, Google Cloud Platform or a comparable cloud platform (AWS/Azure), Apache Airflow, ETL/ELT development, BI/DWH concepts.
- Proven experience integrating data from various source types (APIs, databases, files, SaaS, event streams).
- Experience in data cleansing, validation, and quality controls.
- Familiarity with collaborative development practices including code reviews, Git workflows, and structured releases.
- Ability to optimize code and SQL performance for demanding analytics requirements.
- Understanding of DevOps practices: CI/CD, environment and configuration management, and agile delivery.
Nice-to-Have:
- Experience with dbt (models, tests, documentation, macros).
- Familiarity with data lineage/governance tools (e.g., DataHub/OpenMetadata).
- Knowledge of monitoring/observability for data pipelines.
What We Offer:
The company provides opportunities to transform aspirations into reality through enriching experiences and career development. The company offers a competitive benefits package, including healthcare, contributions to child education, remote and flexible working policies, and exclusive employee discounts.
Diversity and Inclusion:
The company is committed to fostering a diverse and inclusive work environment. All applicants are encouraged to apply without regard to gender, age, race, religion, national origin, or disability status.
