Data Engineer (AU Retail, Hybrid)

ConnectOS is a certified Great Place to Work and top-rated Philippines employer providing services to Australian retail pharmacy chains.
Mandaluyong, Metro Manila, Philippines
Data
Mid-Level Software Engineer
Hybrid
501 - 1,000 Employees
3+ years of experience
Enterprise SaaS · Healthcare

Description For Data Engineer (AU Retail, Hybrid)

ConnectOS, a certified Great Place to Work in the Philippines, is seeking a Data Engineer to join their team supporting a major Australian retail pharmacy chain. This role offers an exciting opportunity to work with Google Cloud Platform (GCP) and modern data engineering technologies. The position requires expertise in data warehousing, ETL processes, and cloud-based analytics solutions. Working in a hybrid setup with a structured schedule (07:00 AM - 04:00 PM PHT), you'll be responsible for managing data migrations, building scalable analytics solutions, and collaborating with cross-functional teams. The role combines technical expertise with business impact, as you'll be working for a client that operates over 500 stores and employs more than 20,000 staff members. The company offers comprehensive benefits including medical coverage from day one, work-life balance initiatives, and career growth opportunities. Located in the heart of Metro Manila, this position provides an excellent opportunity to work with enterprise-scale data systems while enjoying a supportive and inclusive work environment.

Last updated a day ago

Responsibilities For Data Engineer (AU Retail, Hybrid)

  • Manage data migrations and transformative projects in GCP environment
  • Provide domain expertise in scalable data and analytics solutions
  • Build data ingestion, processing, and analytical pipelines
  • Collaborate with Technology teams, data analysts, data scientists, and data engineers
  • Create and deliver best practices recommendations and technical presentations
  • Design and implement Data Vaults/marts for reporting and analysis

Requirements For Data Engineer (AU Retail, Hybrid)

Python
  • 3 years experience in GCP
  • Experience in Data Warehousing
  • Experience in Data Reporting
  • Proficiency in GCP Big Data tools (BigQuery, Dataform, Data Stream, Pub/Sub, CloudRun, etc.)
  • Strong SQL and Python skills
  • Experience with data modeling and Data Vaults/marts design
  • Experience with metadata-centric ELT/ETL frameworks

Benefits For Data Engineer (AU Retail, Hybrid)

Medical Insurance
Dental Insurance
Vision Insurance
  • Medical, Dental Coverage and Life insurance from day 1
  • Paid Vacation and Sick Leave with Quarterly Conversion
  • Competitive salary package and annual appraisal
  • Financial Assistance Program
  • 13th Month Pay
  • Complimentary Sleeping Quarters and Coffee
  • Office Fitness and Wellness Facilities
  • Regular Company Events
  • Work Life Balance
  • Career growth opportunities

Interested in this job?

Jobs Related To ConnectOS Data Engineer (AU Retail, Hybrid)

Business Intelligence Engineer, NACP

Business Intelligence Engineer position at Amazon focusing on supply chain analytics and optimization, requiring SQL, Python, and data visualization skills with 3+ years of experience.

Business Intelligence Engineer, Advertising Finance

Senior Business Intelligence Engineer role at Amazon focusing on Advertising Finance, combining data engineering and analytics to drive business growth through data-driven insights.

Business Intelligence Engineer, Supply Chain Innovation

Business Intelligence Engineer role at Amazon focusing on supply chain innovation, data analysis, and visualization, offering competitive compensation and the opportunity to impact global operations.

Data Engineer, WWSNA

Senior Data Engineer role at Amazon Japan focusing on building scalable data infrastructure and ETL pipelines for transportation business systems.

Business Intelligence Engineer II, R2L Delivery BI

Business Intelligence Engineer II position at Amazon focusing on delivery analytics, requiring SQL, Python, and data visualization skills, offering competitive compensation and benefits.