Data Engineer

Overview

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.

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.