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Senior Data Engineer

TWE Global Careers Open
200000 Shanghai, China Full-time Senior Data Engineering

At a glance

Senior Data Engineering role at TWE Global Careers. 200000 Shanghai, China · full-time.

Pay not stated Data Engineer salary

RoleData Engineering
SenioritySenior
Location200000 Shanghai, China
EmploymentFull-time
PostedSep 30, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build and run data products on Helix, covering design, testing, release and ongoing production monitoring
  • Create pipelines for ETL and warehouse connections, plus reusable data models for business decisions
  • Build self-service BI dashboards and lightweight web tools for business users
  • Keep existing data assets reliable, accurate and performant while improving team processes
  • Guide junior data engineers and work with business and technical partners to shape data and AI solutions

What you bring

  • At least five years building, supporting and monitoring data pipelines with AWS data engineering tools
  • A relevant computer or data science qualification, or equivalent experience
  • Practical experience with dbt, SQL, Python, GitHub and Airflow, plus ETL, dimensional modelling and warehouse design
  • Experience bringing in data through REST and GraphQL APIs, and managing data operations and solution lifecycles
  • Business-level English, written and spoken

Who this fits

This role suits a senior data engineer who can design AWS-based data and AI solutions and support production platforms. You’ll focus on Greater China and need business-level English. The role also includes mentoring junior engineers.

From the employer

About us

Treasury Wine Estates (TWE) is one of the world’s leading wine companies. At TWE we are led everyday by our purpose, Boldly Cultivating. We are boldly cultivating value through our brands, wine, people & environment for enriched & joyful communities.

At TWE we cultivate our teams to be their very best. And in turn, our people push us to make bigger and bolder decisions. Our focus on Boldly Cultivating unites us as a global team and fuels our vision to become the world’s desirable luxury wine company – known for the experiences we create for our consumers, customers, partners, suppliers and our people.

To learn more about our purpose and our renowned portfolio of global brands, click here.

About the role

To design, develop, deploy and maintain data assets and solutions on TWE’s cloud data platform (Helix) to support the evolving data, analytics and AI technology requirements of the business with a focus on the Greater China region.

  • Be a thought leader and development expert in cloud technology and data engineering, encompassing design, testing, validation, deployment and ongoing monitoring of production grade data platform and AI cloud infrastructure solutions.

  • Collaborate with Divisional Stakeholders, Business Analysts, BI developers and Solution Designers to engineer data and AI requirements into effective solutions.

  • Design, develop and maintain data pipelines to support ETL processes and data warehouse integrations to power business decision making.

  • Design and build data models to support reusable business solutions.

  • Design and build user-facing BI dashboards and lightweight web-based data tools that allow business users to self-serve insights

  • Maintain and support existing data assets, ensuring ongoing data quality, reliability and performance

  • Maintain up-to-date knowledge of the China data and AI platform landscape to ensure solutions are built on appropriate, compliant and future-proof technology

  • Drive ongoing process improvement across the Data & Analytics team

  • Lead, mentor and support junior data engineers.

About you

  • Tertiary qualification in a relevant Computer Science, Software Engineering, Applied Mathematics, Physics, Statistics or area of study related to computer/data sciences and data mining or relevant experience

  • 5+ years’ experience in designing, creating, supporting and monitoring data pipelines in AWS data engineering technology stack.

  • Experience and passion for designing and building AI solutions on AWS.

  • Proficient in data technologies dbt, SQL, Python, GitHub, Airflow.

  • Experience in ETL, dimensional modelling, data warehouse design.

  • Experience with ingesting data from REST and GraphQL APIs.

  • Experience in data operations and data solution lifecycle management.

  • Willingness to continue to learn and develop both data engineering, AIOps and adjacent skill sets.

  • Pragmatic approach to achieving outcomes.

  • Business-level English proficiency (written and spoken)

Why you’ll love it here:

  • Our culture is built on bringing our whole selves, being courageous and delivering together – it’s our DNA and the heart of who we are at TWE.

  • We prioritise your growth with access to global career opportunities and structured programs designed to support your health, wellbeing and career development.

  • Enjoy the world’s most desirable wines through our generous employee product allowance

  • 20 days annual leave, medical insurance, quarterly wine allowance

  • Plus, you’ll get an extra day off each year with your “TWEforME Day” – a day to spend however you choose!

We offer a range of great benefits such as flexibility, rewards and discounts and health and wellbeing initiatives. To find out more, click here.

It takes all varietals!

At TWE, we proudly celebrate diversity and are committed to being an equal opportunity employer. Our goal is to build a workforce that reflects the diversity of the consumers who enjoy our products.

All qualified applicants will be considered for employment regardless of age, race, colour, religion, gender identity, national origin, or disability. If you require any assistance to be included in our process, please contact recruitment@tweglobal.com, quoting the job title and reference number. 

How to apply

We do move quickly at TWE and continually review applications, so if you don’t want to miss out, apply today.

Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.