Data Engineer (Graph, Vector & Data Platform) - Senior Associate, AI & Data,...

Ernst & Young Solutions LLP; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A global consulting firm in Singapore is seeking a Data Engineer with expertise in graph databases, specifically Neo4j. The successful candidate will design and implement scalable data solutions, focusing on advanced analytics and AI applications. Responsibilities include developing data ingestion pipelines and optimizing vector databases. A Bachelor’s degree in a related field and at least four years of Data Engineering experience are required. EY provides a competitive remuneration package and opportunities for continuous learning.

Benefits

Competitive remuneration package

Flexible working arrangements

Continuous learning opportunities

Inclusive culture

Qualifications

• Minimally 4 years of hands-on experience in Data Engineering.
• Proven experience in entity network analysis and relationship-based modelling.
• Strong hands-on experience with Neo4j (Graph DB).

Responsibilities

• Design and implement graph data models and entity networks using Neo4j.
• Develop and optimise Cypher queries for relationship and network analysis.
• Build and maintain vector databases using Postgres, Milvus, or Weaviate.

Skills

Neo4j

Data Engineering

SQL

Apache Iceberg

Vector databases

Problem-solving

Education

Bachelor’s degree in computer science or related field

Tools

Postgres (pgvector)

Milvus

Weaviate

Spark

Kafka

Flink

Job description

At 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.

We 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.

We’re all in, are you?

Join EY and shape your future with confidence.

About the opportunity

EY AI & 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, optimise, and protect client organisations. 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.

We 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.

Your key responsibilities

• Design and implement graph data models and entity networks using Neo4j
• Develop and optimise Cypher queries for relationship and network analysis
• Build and maintain vector databases using Postgres (pgvector), Milvus, or Weaviate
• Implement embedding ingestion pipelines for similarity and semantic search use cases
• Design and manage data repositories / lakehouse layers using Apache Iceberg
• Develop data ingestion and transformation pipelines from multiple source systems
• Deploy and operate databases and data platforms on Nutanix infrastructure
• Ensure performance tuning, scalability, availability, and fault tolerance
• Implement data quality checks, monitoring, and error handling
• Collaborate with AI/ML, analytics, and application teams
• Document data models, architectures, and operational procedures

To qualify for the role, you must have

• Bachelor’s degree in computer science, Information Systems, or related field.
• Minimally 4 years of hands‑on experience in Data Engineering
• Strong hands‑on experience with Neo4j (Graph DB)
• Proven experience in entity network analysis and relationship‑based modelling
• Hands‑on experience with vector databases:
  • Postgres (pgvector), Milvus, and/or Weaviate
• Strong SQL skills and experience with complex data transformations
• Experience designing data lakes / lakehouse architectures
• Hands‑on experience with Apache Iceberg or similar table formats
• Experience operating data platforms on Nutanix or comparable on‑prem / hybrid infrastructure
• Solid understanding of distributed systems and data storage concepts

Ideally,you’ll also have

• Python or Java for data processing and integration
• Experience with Spark, Kafka, or Flink
• Experience with LLM / AI pipelines and embedding generation
• Knowledge of Elasticsearch or hybrid search architectures
• Experience with data governance, security, and access control
• Exposure to DevOps / CI‑CD for data platforms

What we look for

• Highly motivated individuals with excellent problem‑solving skills and the ability to prioritise shifting workloads in a rapidly changing industry.
• An 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.

What working at EY offers

EY 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:

Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.

Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.

Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.

Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

Company description

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled 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.

EY 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.

All in to shape the future with confidence.