Michael Kors Data Engineer

About Michael Kors

Michael Kors is a global luxury fashion brand within the Capri Holdings portfolio, known for accessible luxury in accessories, ready-to-wear and lifestyle products. As part of Capri Holdings, the brand operates across retail, wholesale and digital channels and invests in data-driven capabilities to support omnichannel growth and customer experience.

Role & Responsibilities

• Design, build and maintain ETL/ELT pipelines to deliver analytical and operational datasets.
• Prepare, clean and format data for processing, analysis and downstream consumption.
• Author code to extract, validate and profile datasets; act as subject-matter expert on data definitions and quality.
• Perform database feature engineering to support quantitative research and modelling.
• Collaborate with data scientists, software engineers, product owners and systems owners to deliver data products.
• Implement and operationalize anomaly detection systems in partnership with developers.
• Define and propagate department-wide principles and workflows for data quality management.
• Serve as point-of-contact for data structure, lineage and quality inquiries; ensure timely business partner satisfaction.

Qualifications

• B.S. in Computer Science, Engineering, Technology, Statistics, Mathematics or equivalent practical experience.
• Minimum 3 years of professional experience in data engineering or equivalent role.
• 3+ years developing in SQL with strong query-writing and optimization skills.
• Experience building and profiling production data pipelines and working with large datasets.
• Hands-on experience with ETL/ELT tools such as Talend, Amazon Glue and Airflow.
• Proficiency in Python and familiarity with R.
• Working knowledge of Snowflake and experience with AWS services.
• Solid understanding of data modeling principles and database feature engineering.
• Excellent written and verbal communication, active listening and critical thinking skills.
• Proven ability to manage multiple priorities, meet deadlines and work collaboratively across teams.

Skills

Experience

At least 3 years of hands-on data engineering experience building and operating ETL/ELT pipelines, profiling large datasets, and delivering data products in cross-functional teams; retail industry experience is a plus.

Education

B.S. in Computer Science, Engineering, Technology, Statistics, Mathematics or equivalent work experience.

Workplace

Compensation

The base compensation for this position ranges from USD 110,000 to USD 127,000 per annum.

Benefits

Generous Paid Time Off & Holiday Calendar; Summer Fridays; Internal Mobility Across Brands; Cross-brand Discount; Exclusive Employee Sales; Fav 5 Cards (MK Discount for friends and family); 401k Match; Paid Parental Leave; Thrive Wellness Program; Commuter Benefits; Gym Discounts

Culture

Michael Kors fosters a creative, fast-paced and collaborative environment with a strong emphasis on design, retail excellence and digital innovation. Employees operate within a global, consumer-focused organization that encourages internal mobility across brands within the Capri Holdings group.

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.