{"id":1841401,"url":"https://alion.io/job/zurich-australia-data-engineer","title":"Data Engineer","company":{"id":1943356,"name":"Zurich Australia","domain":"zurich.com.au","url":"https://alion.io/company/zurich-com-au","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"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":["Mexico City, Mexico"],"countries":["MX"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure Cosmos DB","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Databricks","optional":false},{"name":"Embeddings","optional":false},{"name":"MongoDB","optional":false},{"name":"Pinecone","optional":false},{"name":"Power Automate","optional":false},{"name":"Power BI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"PyTorch","optional":false},{"name":"Redis","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Snowflake","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-09-26T02:00:00Z","employer_posted_date":"2026-09-26","last_verified_at":"2026-10-06T21:35:18Z","board_verified":true,"closed_at":null,"days_open":10,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":10},"description":"#ZCC is currently hiring a:\nDATA ENGINEER SR / DATABRICKS\nDesign and build scalable solutions to ingest, store and process very large amounts of data (structured, semi-structured and unstructured), including streaming and real time into the cloud-based Lakehouse.\nBuild enterprise grade, highly reusable data assets for analytics consumption.\nDevelop conceptual, logical, and physical data architecture blueprints and systems specifications to develop single source of truth for the enterprise.\nPartner with analytics experts, data scientists, and Business Unit analysts to build self-service experiences in our data democratization platform.\nTake ownership of operationalization of Agentic AI & ML Models while designing solutions to optimize data pipelines, model deployment, and model monitoring\nTechnical skills:\nExperience with Azure or AWS Cloud\nExperience in building enterprise grade Data & AI solutions\nExperience with various Microsoft Azure services (including Fabric, Databricks, Data factory, Cosmos DB, Document Intelligence, Cognitive Services, AI Foundry, Power Platform, Co-pilot studio, Azure ML, Power Automate, Power BI etc.).\nExperience with vector stores like Elastic, Pinecone, Mongo Atlas, or Redis\nExperience with cloud data warehouse solutions like Snowflake, Fabric, or Redshift\nExposure to ML frameworks including TensorFlow, PyTorch, Scikit-Learn\nExposure to deployments for LLMs including end to end unstructured data pipeline build, design of vector stores, embeddings, and prompt engineering.\nWe offer:\nAttractive compensation scheme.\nFood vouchers\nRestaurant vouchers\nBenefits above the law.\nLife insurance\nMajor medical expenses insurance\nAt Zurich we are an equal opportunity employer. We attract and retain the best qualified individuals available, without regard to race/ethnicity, religion, gender, sexual orientation, age, or disability.\nWho we are\nLooking for a challenging and inspiring work environment where you can make a difference? At Zurich millions of individuals and businesses place their trust in our products and services every day. Our 53,000 employees worldwide form the basis of our success, enabling, businesses and communities to face a world of risk with confidence. Imagine if you could help people do this all over the world. You’d give them confidence and reassurance by protecting what they love most. It’s a big challenge, but you will be supported by a world-class team who believe in helping you to reach your full potential and deliver on our promises.\nSo be challenged. Be inspired. Help us make a difference.\nAt Zurich we are an equal opportunity employer. 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