Level

Chalhoub Group

Manager -Data Engineering

AI in this role

claudeclaude-code

INSPIRE | EXHILARATE | DELIGHT

Chalhoub Group’s Capability Hub is our technology and innovation hub set up with the vision to unite exceptional talent to build technology and capabilities that elevate luxury experiences and define the future of luxury retail.

For over seven decades, Chalhoub Group has been a partner and creator of luxury experiences in the Middle East. In its pursuit to excel as a hybrid luxury retailer, the Group has curated a portfolio of over 10 owned brands and strengthened its distribution and marketing expertise for over 400 international names across luxury fashion, beauty, jewellery, watches, eyewear, and art de vivre categories.

Every step at Chalhoub Group is taken to build a future where luxury dreams become reality — bridging cultures and crafting memorable experiences for our consumers. Be it by constantly reinventing itself, committing to innovation, or embracing new technologies, the Group is shaping the future of luxury retail. It delivers seamless omnichannel experiences across more than 950 stores, online platforms, and mobile apps. Driving this innovation journey is The Greenhouse — the Group’s innovation hub, incubator, and accelerator for startups and emerging businesses, regionally and globally.

Chalhoub Group fosters a people-at-heart culture rooted in diversity, equity, and inclusion, and a workplace catalysed by forward thinking and future proofing. Today, it brings together over 16,000 talented professionals across eight countries in the Middle East, with a presence in LATAM.

Sustainability is at the core of the Group’s strategy, guided by a clear commitment to people, partners, and the planet. Chalhoub Group is proud to be a member of the United Nations Global Compact, a signatory of the Women’s Empowerment Principles, and to have pledged to reach Net Zero by 2040.

What you'll be doing  

• Lead the Data Engineering capability across data platform engineering, data pipelines and processing, data operations, BI and reporting, and data quality engineering, delivering reliable cloud data infrastructure and trustworthy analytics for the business.

• Lead the Data Engineering capability, owning data platform engineering across the cloud data platform (Google BigQuery), storage, compute, and data access layers on GCP.

• Own data pipelines and processing, engineering robust ETL/ELT ingestion pipelines (Python, Apache Airflow, dbt, Airbyte) and batch and streaming processing from source systems into the data warehouse.

• Own data operations, including pipeline monitoring, job orchestration and scheduling, incident resolution, and the reliability and uptime of data ingestion (DataOps).

• Own BI and reporting, developing semantic layers (Looker, LookML), reporting models, and dashboards (Power BI, SQL) to deliver actionable business intelligence.

• Own data quality engineering, implementing automated data testing, data validation, anomaly detection, and cleansing logic to ensure accuracy and data integrity.

•Own engineering leadership, capability and team development, engineering practices, and continuous improvement across the data engineering team.

• Remain hands-on: plan, design, execute, and document data validation and automated data testing across integrated data systems for assigned scope.

• Use Claude Code for AI-assisted development to accelerate pipeline and query development while maintaining quality.

What you’ll need to succeed  

• 10 years of data engineering experience, including experience leading or mentoring engineers.

• Strong expertise in Google BigQuery, cloud data warehousing, data access control, and GCP.

• Hands-on experience with ETL/ELT (Python, Apache Airflow, dbt, Airbyte), batch and streaming processing, and DataOps (pipeline monitoring, job orchestration, incident resolution).

• Proficiency in BI and reporting (Looker, LookML, Power BI, SQL, dashboard design) and data quality engineering (data validation, automated data testing, anomaly detection).

• Familiarity with Claude Code for AI-assisted development.

What we can offer you  

With us, you will turn your aspirations into reality.  We will help shape your journey through enriching experiences, learning and development opportunities and exposure to different assignments within your role or through internal mobility. Our Group offers diverse career paths for those who are extraordinary, every day.  

We recognise the value that you bring, and we strive to provide a competitive benefits package which includes health care, child education contribution, remote and flexible working policies as well as exclusive employee discounts.  

Using GenAI in Your Application Process

To support a fair and consistent experience for all candidates, we ask that assessments and interviews are completed independently and without assistance from generative AI tools. This ensures we understand your strengths, your thinking, and how you approach real situations.

We Invite All Applicants to Apply

It Takes Diversity Of Thought, Culture, Background, Differing Abilities and Perspectives to truly Inspire, Exhilarate and Delight our customers. At Chalhoub Group, we are committed to inclusion and diversity.

We welcome all applicants to apply and be part of our exciting future. We ensure equal opportunity for all our applicants without regard to gender, age, race, religion, national origin or disability status.

How we rate this

Manager -Data Engineering at Chalhoub Group rates 23 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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Skills and AI tools this role asks for

ClaudeClaude Code

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