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Requisition ID: 918774 Store #: A00152 Tech Srvcs Wholesale DAL-T Position: Full-Time Total Rewards: Benefits/Incenti...

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Selected role

Data ML Engineer

EssilorLuxottica Dallas, TX, US

$918k Senior Full-time

Requisition ID: 918774

Store #: A00152 Tech Srvcs Wholesale DAL-T

Position: Full-Time

Total Rewards: Benefits/Incentive Information

If you’ve worn a pair of glasses, we’ve already met.

We are a global leader in the design, manufacture, and distribution of ophthalmic lenses, frames, and sunglasses. We offer our industry stakeholders in over 150 countries access to a global platform of high-quality vision care products such as the Essilor brand, with Varilux, Crizal, Eyezen, Stellest and Transitions, iconic brands that consumers love such as Ray-Ban, Oakley, Persol and Oliver Peoples, as well as a network that offers consumers high-quality vision care and best-in-class shopping experiences such as Sunglass Hut, LensCrafters, and Target Optical, and leading e-commerce platforms.

Our portfolio of more than 150 renowned brands span various categories, from frames, lenses and instruments to brick and mortar and digital distribution as well as mid-range to premium segments. Our Shared Services Team, accompany and enable others within the EssilorLuxottica collective to achieve their targets. They keep people and projects running smoothly, ensuring every part of our business is provided for and well taken care of.

Join our global community of over 200,000 dedicated employees around the world in driving the transformation of the eyewear and eyecare industry. Discover more by following us on LinkedIn!

GENERAL FUNCTION

The Data & ML Engineer designs, builds, and operates scalable, secure, and reliable data and machine learning platforms primarily on Azure, with exposure to AWS and GCP when applicable. This role requires expertise in Python or Scala, data processing frameworks (e.g., Spark), and container orchestration tools like Kubernetes. Strong proficiency in CI/CD, DevOps, and MLOps is essential to support the deployment and operationalization of analytics and AI solutions. The role partners closely with Applied Data Scientists to enable production‑ready models and robust engineering foundations.

MAJOR DUTIES AND RESPONSIBILITIES

Design, develop, and operate large-scale data ingestion, transformation, and storage pipelines
Manage ML infrastructure and CI/CD, DevOps, and MLOps pipelines for model training and deployment
Optimize platform performance, reliability, cost, and availability
Ensure data security, governance, and regulatory compliance
Collaborate with Applied Data Scientists to productionize models
Design ETL/ELT workflows using Azure Data Factory and orchestration tools
Structure Lakehouse, Data Lake, and Synapse environments for scalable analytics
Organize data formats, schemas, and versioning (Delta, Parquet, JSON, CSV)
Build reusable pipelines and ML components to accelerate delivery
Implement monitoring, logging, and alerting for data and ML pipelines
Champion best practices for scalable data and ML platforms
Drive automation and infrastructure-as-code approaches
Guide solution design for performance, resilience, and cost efficiency
Lead troubleshooting and root-cause analysis for pipeline issues
Mentor engineers in cloud-native, big data, and MLOps practices

BASIC QUALIFICATIONS

Bachelor’s degree in Computer Science, Engineering, or related field
Experience as a Data Engineer, ML Engineer, or Platform Engineer
Strong hands on experience with Azure and big data platforms
Proficiency in Python, SQL, Scala, and scripting languages
Experience building production grade data pipelines
Ability to independently deliver complex data and ML engineering solutions

PREFERRED QUALIFICATIONS

Master’s degree in related discipline
Experience with Azure Databricks, Spark, Synapse, MLFlow
Experience with Docker, AKS, APIs, and containerized ML workloads
Experience with Azure Data Factory or Airflow
Exposure to SAP CDC and enterprise data integration
Experience in agile, fast paced, cross functional environments
Strong ownership and independence
Ability to translate analytical needs into scalable engineering solutions
Strong collaboration skills with data scientists and business teams
Excellent problem solving and troubleshooting capabilities
Focus on reliability, scalability, and operational excellence

This posting is for an existing vacancy within our business. Employee pay is determined by multiple factors, including geography, experience, qualifications, skills and local minimum wage requirements. In addition, you may also be offered a competitive bonus and/or commission plan, which complements a first-class total rewards package. Benefits may include health care, retirement savings, paid time off/vacation, and various employee discounts.

EssilorLuxottica complies with all applicable laws related to the application and hiring process. If you would like to provide feedback regarding an active job posting, or if you are an individual with a disability who would like to request a reasonable accommodation, please call the EssilorLuxottica SpeakUp Hotline at 844-303-0229 (be sure to provide your name, job id number, and contact information so that we may follow up in a timely manner) or email [email protected].

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, gender, national origin, social origin, social condition, being perceived as a victim of domestic violence, sexual aggression or stalking, religion, age, disability, sexual orientation, gender identity or expression, citizenship, ancestry, veteran or military status, marital status, pregnancy (including unlawful discrimination on the basis of a legally protected pregnancy or maternity leave), genetic information or any other characteristics protected by law. Native Americans in the US receive preference in accordance with Tribal Law.

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