Senior Data Engineer (Quality)
Chalhoub Group is hiring a Senior Data Engineer (Quality) in Bengaluru, India. Level rates it ; you can apply on Chalhoub Group.
Level's read on this job
- On Level's scale, this data engineer role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include Claude, Copilot and Cursor.
- Level classifies it as a senior role.
- Level lists 164 other open roles at Chalhoub Group.
- The role was posted in the last few days.
AI in this role
Lead data quality engineering for pipelines, implementing automated validation, profiling, and machine learning-based anomaly detection.
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 data quality engineering across e-commerce and ERP pipelines, designing automated validation, profiling, and anomaly detection, and resolving cross-system data reconciliation errors to ensure high data integrity.
• Lead data quality engineering across e-commerce and ERP data pipelines.
• Design automated data validation, profiling, and anomaly detection rules, including ML-based anomaly detection, using automated data testing tooling (e.g. Great Expectations, Soda, Monte Carlo), dbt, and SQL.
• Define data quality dimensions (freshness, completeness, validity, schema drift) with severity, 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 (e.g. Snowflake), and surface data quality findings and scorecards to stakeholders.
• Support master data management and 'Golden Record' harmonization across systems.
• Apply data cataloging and lineage tools (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.
What you’ll need to succeed
• Minimum 5 years of experience in data quality engineering or data engineering.
• Strong SQL and Python skills, with hands-on experience in dbt and automated data testing tooling (e.g. Great Expectations, Soda, Monte Carlo).
• Experience designing data validation, profiling, and anomaly detection, including MLbased, 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 (Datahub) and MPP cloud data warehouses (e.g. Google BigQuery, Snowflake), with a technical mentoring capability.
• Hands-on experience with AI coding assistants (e.g. Claude Code, GitHub Copilot, Cursor) 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
Senior Data Engineer (Quality) at Chalhoub Group rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in data engineer jobs at this level
Pay
- Typical data engineer job
- $150k
This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs
Questions you could be asked
- Tell me about a project where data engineering was part of your work. What did you do?
- Tell me about a project where data quality was part of your work. What did you do?
- Tell me about a project where anomaly detection was part of your work. What did you do?
- Tell me about a project where ml was part of your work. What did you do?
- Walk me through how you've used Claude in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Data Engineering, Data Quality, Anomaly Detection, ML, and Claude. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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