Data Integration Specialist

Let your career grow in one of Australia and New Zealands largest food manufacturers, employing over 7000 people across 40 sites, backed by one of the world’s largest diversified food and retail groups

The Opportunity

You will blend deep technical expertise in data engineering with a strong sense of design and storytelling through data, and work with the data engineering team to continuously elevate their digital and data-driven capabilities

Why join us?

• Proudly Great Place to Work® certified
• Celebrate globally: Company trips (2025: Hong Kong, 2024: Thailand), Culture Champs, Year-end parties, leadership awards & more
• Grow with stability: 100+ in our 10-Year Club by 2025
• Dynamic talent network: 2,000+ across APAC and beyond
• Competitive compensation with annual reviews
• Comprehensive medical care for you and your family
• Generous paid leave because work-life balance matters
• Level up with LinkedIn Learning and tailored training
• Flexible work setup
  
  
  

• Design, develop, and maintain scalable ETL/ELT pipelines to seamlessly integrate data from diverse sources.
• Architect and implement robust data models and data warehouses to enable advanced analytics and business reporting.
• Create dynamic, user-friendly dashboards and visualizations with tools like Power BI, Tableau, or similar tools.
• Partner with cross-functional teams to gather business requirements and translate them into impactful data solutions.
• Ensure high standards of data quality, integrity, and security across all data assets and platforms.
• Continuously optimize and fine-tune data workflows to enhance performance, scalability, and cost-efficiency.
  
  
  

• Hands-on experience in data engineering, with strong command of SQL, Python, and cloud environments such as Azure, AWS, or GCP.
• Familiarity with ETL/ELT pipeline design, orchestration tools, and version control.
• Experience in building data visualizations and dashboards using Power BI, Tableau, or similar platforms.
• In-depth understanding of data architecture, data warehousing best practices, and data governance principles.
• Exceptional communication skills, with the ability to distill complex datasets into clear, engaging narratives for technical and non-technical audiences.
  
  
  

• Manila (BGC, Taguig): Australian hours (6 am–3 pm PHT) with a hybrid setup (2 days onsite, 3 days remote) after a 3-month training onsite.