Data Engineer

Global Fashion Group is the leading fashion and lifestyle destination in growth markets across LATAM, SEA and ANZ. From our people to our customers and partners, we exist to empower everyone to express their true selves through fashion. Our three e-commerce platforms: Dafiti, ZALORA and THE ICONIC connect an assortment of international, local and own brands to over 800 million consumers from diverse cultures and lifestyles. GFG’s platforms provide seamless and inspiring customer experiences from discovery to delivery, powered by art & science that is infused with unparalleled local knowledge. As part of the Group’s vision is to be the #1 online destination for fashion & lifestyle in growth markets, we are committed to doing this responsibly by being people and planet positive across everything we do.

Since launching in 2011, THE ICONIC has redefined the future of retail in Australia and New Zealand. As the leading fashion, sports and lifestyle e-commerce destination in the region, our e-commerce platforms (Retail, Marketplace and Services) provide a seamless and inspiring end-to-end customer experience through our own technology innovations. We stand for benchmark-setting customer service, delivery options, returns policies, and curation of brands.

We are a diverse and dynamic community of over 1,000 people working towards our purpose “To bring on the future of shopping”. THE ICONIC is people and planet positive, and we strive towards creating a positive impact in the world by driving genuine and meaningful change for the better of all communities involved.

For more information visit: www.global-fashion-group.com

THE TEAM

At GFG, Technology is driven by innovation and quality is highly valued. Our data team is the driving force behind our business strategies and decisions. We are integrated into all departments to ensure all employees at THE ICONIC have access to good quality and timely data.

Our Data Engineering team solves complex problems and delivers data to propel our business forward, powering the insights that are used in every decision we make. We are the engineers, the builders, the maintenance people for all our business data.

Demand for our data is growing fast, driven by AI agents, analytics and business automations. In this Data Enablement role, you will work with senior engineers to make our data governed, safe and AI-ready, helping teams across the business move faster with confidence.

SCOPE OF ROLE

• Develop and support our enterprise data warehouses, analytical databases and infrastructure
• Work with the team to re-platform our existing data architecture to next generation tooling and data architecture
• Build/Maintain our data pipelines in Python and SQL to ensure that data is delivered in a timely manner
• Work closely with our Data Scientists and Data Analysts to implement new insights and statistical models
• Assist in developing tools/processes to enable our business to self serve
• Help put guardrails in place so AI agents and automations can use our data safely and correctly
• Classify and protect personal data so our datasets can be used without the fear of a PII breach
• Help keep our data platform secure, up to date and cost-effective, and take part in the team's support rotation

WHAT IT TAKES

• Google Cloud (GCP), with exposure to AWS
• BigQuery and dbt, with exposure to Redshift
• Airflow and Cloud Composer
• Terraform and GitHub Actions
• Docker, with exposure to Kubernetes
• Batch and streaming data (Pub/Sub, change data capture), behavioural data, as well as structured and unstructured data

Solid programming knowledge of data processing within Python

• DataFrames
• Pandas
• Dependency management within Python
• Airflow DAG building
• CI/CD - GitHub Actions deployment / delivery experience
• Strong SQL coding skills
• Good Data Engineering design skills
• Excellent communication skills
• Proven experience in a similar Data Engineering role
• Strong data warehousing / Data Engineering experience
• Experience with data modelling and ELT / ETL solutions
• Test and QA experience in data pipelines

Ways to stand out from the crowd

• Data governance and PII handling (e.g. BigQuery policy tags, de-identification)
• AI-assisted engineering tools, or AI / agentic data use cases (e.g. Vertex AI, Gemini, MCP)
• Monitoring, alerting and data quality tooling (e.g. Cloud Monitoring, Elementary)
• AWS / Redshift experience, including migrating workloads to GCP
• Change data capture (Debezium) and Kubernetes
• Looker / LookML or semantic layer modelling
• Migrating legacy ETL (e.g. Pentaho) to modern tooling

WHAT WE OFFER YOU

• The ability to cross train into DevOps/Platforms or Data Engineering
• The unique opportunity to have a serious impact on a growing organisation
• A dynamic working environment shaping the face of fashion e-commerce in growth markets
• Work closely with a global talent pool with international mindset
• #1 IT company to work for in Vietnam in 2021
• Best practice scaled agile engineering
• Amazing office and great culture! Massage chairs, table tennis, video game room, quarterly team events, yearly company trip, end of the year party
• Hybrid working environment and work from home set up allowance
• Clear career progression plan and support
• Macbook or laptop when you start
• Social insurance, medical insurance & AON insurance
• 13th month salary
• 15 days of annual leave, 30 days of sick leave/mental health, 1 day of occasion leave

Apply today and join GFG in this exciting role shaping the face of fashion e-commerce!

Global Fashion Group embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

Apply today and join GFG in this exciting role shaping the face of fashion e-commerce!

Global Fashion Group embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.