Data Engineer - AI & Data - Hong Kong Data Engineer - AI & Data - Hong Kong

Data Engineer – AI & Data

If we inspire you to do the work you love, will you still call it work?

At EY we believe that whoever you are, your uniqueness helps us stand apart.

We bring together extraordinary people, like you, to build a better working world.

What’s in it for you?

As a Senior Data Engineer (Senior Consultant or Manager) in the AI & Data team, you’ll be involved with the designing, building, and operating of scalable on-premises or cloud data architecture and modelling solutions that facilitate data storage, integration, management, validation and security, supporting the entire data asset lifecycle​ . You will understand and analyze business requirements to translate into technical requirements; liaises between business stakeholders and technical teams to ensure development matches intended design​.

Responsible for contributing to the delivery of one or more processes, solutions and/or projects by delivering agreed activities, applying judgement and selecting appropriate methodologies to inform recommendations, considerate of success criteria, barriers, risks and issues.
Accountable for meeting own targets which impact the immediate team.
May help coordinate the work of junior colleagues or team members.
Meets performance objectives and metrics set locally (client service, quality and risk management, sales and business growth, solution development and teaming etc.)
Contribute into design and development for data platform solutions that enable client’s digitalization journey.

What we’re looking for

Don’t worry if you don’t tick all the boxes. We’re also interested in your strengths, what you want to learn, and how far you want to go.

Databricks certified or equivalent work experience, you will have experience in various data management architectures such as Data Warehouse, Data Lake, Data Fabrics and Data Hub.

Demonstrated experience in handling unstructured data and structured data with large, complex, and multiple data sets from various sources.
Understands cloud technologies such as virtualized environments, Big Data storage, and AI services.
Strong understanding in data integration tooling (Informatica, Datastage, SSIS, Nifi, Talend and Alteryx).
Proficiency in SQL, Python and experience in application to data engineering tasks. (Experience in Scala, C#, C is a distinctive advantage).
Proficiency and experience in utilizing Spark/PySpark will be a distinctive advantage.
Experience with real-time, near real-time, MQ and streaming solutions (Kafka, Flink, AWS Kinesis, Azure Event Grid/Hub, Service Bus and Spark Streaming).
Pro-actively seeks opportunities to connect people from their network with one another to improve business outcomes.
Experience in working with building pipelines as code to automate pipeline deployment using CICD processes will be a distinctive advantage.
Experience in working with an offshore delivery team will be a distinctive advantage.
Fluency in English, Mandarin or Cantonese preferred.

What we can offer you

A tech career @ EY means working with 40,000 fellow technologists who are creating cutting edge applications in blockchain, AI, cloud, analytics, robotics and cyber, harnessing tech to power the human enterprise and build a more equitable, sustainable world. We offer world class training and a free Tech MBA to all our people.

Globally at EY, we are committed to 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.

The exceptional EY experience. It’s yours to build.