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Data Platform Specialist

2 weeks ago

Brisbane, Queensland, Australia beBeeDataEngineer Full time $113,713 - $127,923
Cloud Data Engineer Role

We are seeking a highly skilled Cloud Data Engineer to join our team. The ideal candidate will have experience with cloud-based data warehousing, migration and modernization.

  • Key Responsibilities:

  • Analyse and document legacy data pipelines, including prototypes, and support solution design for the new cloud platform
  • Conduct testing and validation of migrated workloads
  • Design, develop, and implement cloud-based data warehouse solutions
  • Collaborate across teams to shape scalable and reliable data platform solutions
  • Provide technical expertise, support, and insights for modern data architecture
  • Communicate effectively with leadership regarding data technologies, usage patterns, project priorities, and timelines
  • Proficiency in SQL (PL/SQL and T-SQL)
  • Strong grasp of ETL/ELT pipeline design and dimensional modelling



Requirements

  • A degree in a relevant field or proven industry experience in data engineering
  • A drive to work autonomously and within dynamic teams



Benefits

  • Full-time position based at Brisbane South (Nathan)
  • Salary range - base pay: $113,713.03 - $127,923.91 per annum + super
  • Wide range of Learning and Development opportunities
  • Mix of on-campus and remote work options available and a supportive work environment
  • Generous leave entitlements, including paid parental leave and leave loading

Skillset

  • Experience with cloud-based data warehousing and migration
  • Knowledge of data storage technologies and tools
  • Familiarity with data visualization tools and techniques

About You

You are an independent thinker and a collaborative problem-solver, comfortable working across teams and engaging with stakeholders at all levels. You'll bring:

  • A passion for data engineering and its applications
  • A strong analytical mind and excellent problem-solving skills
  • The ability to work independently and collaboratively as part of a team