Data Engineer (Graph, Vector Data Platform) - Senior Associate, AI Data, Technology Consulting

divpspanAt EY, we develop you with future-focused skills and equip you with world-class experiences. We empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams./spanspan /span/p/divdivpspanWe work together across our full spectrum of services and skills powered by technology and AI, so that businesses, people and the planet can thrive together. /spanspan /span/p/divdivpspanWe’re all in, are you?/spanspan /span/p/divdivpspanJoin EY and shape your future with confidence./spanspan /span/pp /p/divdivh3spanAbout the opportunity/spanspan /span/h3/divdivpspanEY AI amp; Data is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors. We implement information-driven strategies, data platforms, and advanced data analytics solution systems that help grow, optimize, and protect client organizations. We go beyond strategy and provide end to end design, build and implementation of real-life data environments and have some of the best architects, project managers, business analysts, data scientists, big data engineers, developers and consultants in the region. /spanspan /span/p/divdivpspanWe are seeking a Data Engineer with strong experience in graph databases, entity network analysis, and vector data platforms to design, build, and operate scalable data solutions. The role focuses on Neo4j-based graph platforms, vector databases, and modern data repositories using Apache Iceberg, running on Nutanix hybrid infrastructure, to support advanced analytics, AI, and enterprise data use cases./span brspan /span/p/divdivh3spanYour key responsibilities/spanspan /span/h3/divdivdivullispanDesign and implement graph data models and entity networks using Neo4j/span /lilispanDevelop and optimize Cypher queries for relationship and network analysis/span /lilispanBuild and maintain vector databases using Postgres (pgvector), Milvus, or Weaviate/span /lilispanImplement embedding ingestion pipelines for similarity and semantic search use cases/span /lilispanDesign and manage data repositories / lakehouse layers using Apache Iceberg/span/lilispanDevelop data ingestion and transformation pipelines from multiple source system/span span /span/lilispanDeploy and operate databases and data platforms on Nutanix infrastructure/span /lilispanEnsure performance tuning, scalability, availability, and fault tolerance/span /lilispanImplement data quality checks, monitoring, and error handling/span /lilispanCollaborate with AI/ML, analytics, and application teams/span /lilispanDocument data models, architectures, and operational procedures/spanspan /span/li/ulp /p/divdivh3spanTo qualify for the role, you must have/span/h3/divdivullispanBachelors degree in computer science, Information Systems, or related field./span /lilispanMinimally 4 years of hands-on experience in Data Engineering/span /lilispanStrong hands-on experience with Neo4j (Graph DB)/span /lilispanProven experience in entity network analysis and relationship-based modeling/span /lilispanHands-on experience with vector databases:/span ullispanPostgres (pgvector), Milvus, and/or Weaviate/span /li/ul/lilispanStrong SQL skills and experience with complex data transformations/span /lilispanExperience designing data lakes / lakehouse architectures/span /lilispanHands-on experience with Apache Iceberg or similar table formats/span /lilispanExperience operating data platforms on Nutanix or comparable on-prem / hybrid infrastructure/span /lilispanSolid understanding of distributed systems and data storage concepts/spanspan /span/li/ulp /p/div/divdivdivh3spanIdeally, you’ll also have/spanspan /span/h3/divdivullispanPython or Java for data processing and integration/span/lilispanExperience with Spark, Kafka, or Flink/span/lilispanExperience with LLM / AI pipelines and embedding generation/span/lilispanKnowledge of Elasticsearch or hybrid search architectures/span/lilispanExperience with data governance, security, and access control/span/lilispanExposure to DevOps / CI-CD for data platforms/spanspan /span/li/ul/divdivpspan /span/p/divdivh3spanWhat we look for/spanspan /span/h3/divdivullispanHighly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry./span/lilispanAn effective communicator, you’ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization./spanspan /span/li/ul/divdivpspan /span /pdivh3spanWhat working at EY offers/spanspan /span/h3/divdivpspanEY offers a competitive remuneration package where you’ll be rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements. Plus, we offer:/spanspan /span/p/divdivpspanstrongContinuous learning:/strong You’ll develop the mindset and skills to navigate whatever comes next./span /ppspanstrongSuccess as defined by you:/strong We’ll provide the tools and flexibility, so you can make a meaningful impact, your way./span /ppspanstrongTransformative leadership: /strongWe’ll give you the insights, coaching and confidence to be the leader the world needs. /span /ppspanstrongDiverse and inclusive culture/strong: You’ll be embraced for who you are and empowered to use your voice to help others find theirs./spanspan /span/p/divdivh3 /h3h3spanCompany description/spanspan /span/h3/divdivpspanEY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets./spanspan /span/p/divdivpspanEnabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow./spanspan /span/p/divdivpspanEY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories./spanspan /span/p/divdivpspanAll in to shape the future with confidence./spanspan /span/p/divdivpspan /span/p/div/div/div