{"id":4156591,"url":"https://alion.io/job/essilorluxottica-data-engineer","title":"Data Engineer","company":{"id":1782239,"name":"EssilorLuxottica","domain":"essilorluxottica.com","url":"https://alion.io/company/essilorluxottica","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":{"grade":"A","score":98,"open_postings":30,"ghost_share":0,"stale_share":0.067,"repost_share":0,"time_to_fill_p50_days":23,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Milan, Italy"],"countries":["IT"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":45000,"max":55000,"currency":"EUR","period":"year","gross":true,"usd_annual":61044},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Neo4j","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-16T02:00:00Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-11-12T10:48:15Z","board_verified":true,"closed_at":null,"days_open":27,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":27},"description":"If you’ve worn a pair of glasses, we’ve already met.\nWe 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.\nJoin our global community of over 190,000 dedicated employees around the world in driving the transformation of the eyewear and eyecare industry.\nDiscover more by following us on LinkedIn!\nYour #FutureInSight with EssilorLuxottica\nAre 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!\nYour role\nWe 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.\nOperations 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.\nThe 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.\nWe 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.\nMain responsibilities:\nThe ontology. Development and maintenance of the Operations domain model in OWL 2, applying established design patterns and keeping it coherent as scope expands. \nMapping and transformation. The mappings that take relational and semi-structured data into graph form, including reconciling sources that arrive under different models. \nValidation. SHACL shapes, so that data entering the graph is checked against the model rather than trusted on arrival. \nAccess patterns. SPARQL queries and access patterns that serve analytical and agentic consumption efficiently. \nBusiness 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. \nShared engineering. Contribution to the broader ingestion work alongside the rest of the team.\nMain requirements:\nEssential:\nSolid data engineering experience, with fluent Python and SQL and practical familiarity with a modern data platform. Databricks experience is an advantage; competence transfers.\nSerious 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.\nModelling 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.\nAppetite 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.\nFluent English.\nDesirable:\nSHACL, and validation as part of a production pipeline.\nTriple stores, and mapping languages such as R2RML or RML.\nExposure to SAP data structures.\nOntology reuse or alignment, including upper ontologies or industry vocabularies relevant to manufacturing and supply chain.\nManufacturing, supply chain or industrial domain background.\nWhat’s in it for you\nIn 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:\nAccess to our cutting-edge learning platform, Leonardo, and personalized development programs to help you grow professionally and personally.\nEnjoy flexible work conditions, health insurance coverage, ticket restaurants, internal rooftop canteen\nJoin the Corporate Shareholding Program “BOOST” an opportunity to share in the company’s success and directly benefit from EssilorLuxottica’s growth.\nAccess 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.\nEnjoy 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.\nSalary Package:\nAnnual Gross Salary: 45.000 Eur - 55.000 Eur\nComprehensive Benefits Package:Supplementary Health insurance coverage\nSupplementary Pension Plan\nAccess to the EssilorLuxottica Corporate Welfare Catalog\nTransportation - Discounted pass\nMeal Vouchers as per company guidelines\nExclusive employee discounts on company products\nCompany-provided laptop and mobile phone\n\nRecruiting process\nIf you are selected, you will be contacted by HR Department to guide you through the specific steps for your application.\nOur Diversity, Equity and Inclusion commitment\nWe 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.","description_format":"text","description_chars":6659,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":["Equity","Flexible schedule","Health insurance","Insurance coverage"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Eyewear","Optometry & Optical Stores"],"lifecycle":[{"event":"open","at":"2026-11-12T10:48:15Z"}],"visa":[],"liveness":{"score":34,"band":"fade","label":"Fading","p_open":1,"p_active":0.61,"p_room":0.55,"age_days":27,"expected_fill_days":23,"reasons":["conf:1","win:tail","comp:brand"],"computed_at":"2026-11-12T12:45:55Z"},"pay":{"stated_usd_annual":61044,"is_top_pay":false},"html_url":"https://alion.io/job/essilorluxottica-data-engineer","json_url":"https://alion.io/job/essilorluxottica-data-engineer.json","meta":{"generated_at":"2026-11-12T12:45:55Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":26421,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-13T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1782239},"rest":"https://alion.io/mcp/rest/get_company?id=1782239"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fessilorluxottica-data-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fessilorluxottica-data-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fessilorluxottica-data-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/essilorluxottica-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fessilorluxottica-data-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4156591}},{"tool":"search_jobs","arguments":{"company":"essilorluxottica.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4156591},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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