Data Engineer

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, Oliver Peoples, Vogue Eyewear and Costa), as well as a network that offers consumers high-quality vision care and best-in-class shopping experiences (such as Sunglass Hut, LensCrafters, Salmoiraghi & Viganò and the GrandVision network), and leading e-commerce platforms.

Join our global community of over 190,000 dedicated employees around the world in driving the transformation of the eyewear and eyecare industry.

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Your #FutureInSight with EssilorLuxottica

Are you willing to pioneer new frontiers, foster inclusivity and collaboration, embrace agility, ignite passion, and make a positive impact on the world? Join us in redefining the boundaries of what’s possible!

Your role

We are looking for a Data Engineer, Semantic and Knowledge Graph who will build and own the ontology behind our Operations data, and the mappings and validation that bring data into it.

Operations data from a wide range of systems is being brought together into a single semantic layer. You keep that model coherent as new domains, geographies and entities arrive. The graph is the layer that analytics and AI systems will consume for years, and it needs someone whose responsibility it is.

The role sits across two disciplines. You will do real data engineering, building the transformations that feed the graph and contributing to the wider pipeline work. You will also do modelling: representing products, sites, materials, orders and flows as the business understands them, rather than mirroring whichever source system the data arrived from.

We are hiring at mid-level for someone already competent who intends to become expert, with direct mentorship on semantic modelling and room to grow into the reference point for this work. If you have come to structured data modelling by another route than the semantic web stack, we would still like to hear from you: the modelling instinct is the part we cannot teach quickly, and the specific technologies are.

Main responsibilities:

• The ontology. Development and maintenance of the Operations domain model in OWL 2, applying established design patterns and keeping it coherent as scope expands.
• Mapping and transformation. The mappings that take relational and semi-structured data into graph form, including reconciling sources that arrive under different models.
• Validation. SHACL shapes, so that data entering the graph is checked against the model rather than trusted on arrival.
• Access patterns. SPARQL queries and access patterns that serve analytical and agentic consumption efficiently.
• Business alignment. Working with domain colleagues so the model reflects operational reality. An ontology that is formally elegant and semantically wrong is of no use to anyone.
• Shared engineering. Contribution to the broader ingestion work alongside the rest of the team.

Main requirements:

Essential:

• Solid data engineering experience, with fluent Python and SQL and practical familiarity with a modern data platform. Databricks experience is an advantage; competence transfers.
• Serious experience of structured data modelling, from any of several routes. Working knowledge of the semantic web stack (RDF, OWL, SPARQL) is the most direct one, whether gained professionally, in research or through substantial personal projects. We weigh the following equally: property graph work with Neo4j and Cypher or comparable technologies; metadata management, data cataloguing and lineage; substantial master data modelling; and the design of taxonomies and controlled vocabularies, as practised in life sciences, e-commerce or publishing.
• Modelling judgement above all: the capacity to sit with a messy domain, ask the right questions of the people who understand it, and produce a structure that holds as the domain grows. We will ask you to walk us through something you have modelled and to defend the choices you made.
• Appetite to go deep on the semantic web stack. Where OWL 2 and SHACL are new to you, we provide mentorship and vendor-led enablement, and we expect real fluency within the first year.
• Fluent English.

Desirable:

• SHACL, and validation as part of a production pipeline.
• Triple stores, and mapping languages such as R2RML or RML.
• Exposure to SAP data structures.
• Ontology reuse or alignment, including upper ontologies or industry vocabularies relevant to manufacturing and supply chain.
• Manufacturing, supply chain or industrial domain background.

What’s in it for you

In EssilorLuxottica, you are not defined just by your job title. Each career adventure is unique; have a glimpse of some of the benefits you will enjoy as a successful candidate:

• Access to our cutting-edge learning platform, Leonardo, and personalized development programs to help you grow professionally and personally.
• Enjoy flexible work conditions, health insurance coverage, ticket restaurants, internal rooftop canteen
• Join the Corporate Shareholding Program “BOOST” an opportunity to share in the company’s success and directly benefit from EssilorLuxottica’s growth.
• Access special offers for employees on a vast range of eyewear, eye care products, and fashion apparel, so you can enjoy our world-class brands firsthand.
• Enjoy our “Disconnect Program” a holistic approach to work-life balance, including initiatives for mental health, yoga, jogging sessions, and more, designed to help you recharge and stay healthy.

Salary Package:

• • Annual Gross Salary: 45.000 Eur - 55.000 Eur
  • Comprehensive Benefits Package:
    • Supplementary Health insurance coverage
    • Supplementary Pension Plan
    • Access to the EssilorLuxottica Corporate Welfare Catalog
    • Transportation - Discounted pass
    • Meal Vouchers as per company guidelines
    • Exclusive employee discounts on company products
    • Company-provided laptop and mobile phone

Recruiting process

If you are selected, you will be contacted by HR Department to guide you through the specific steps for your application.

Our Diversity, Equity and Inclusion commitment

We are committed to creating an inclusive environment for all employees. We celebrate diversity and provide equal opportunities to all, regardless of race, gender, ethnicity, religion, disability, sexual orientation, or any other characteristic that makes us unique.