Data Systems Engineer

2 days ago

Melbourne, Victoria, Australia beBeeDataDeveloper Full time $100,000 - $140,000
Key Position Overview

Transformative Data Developers are sought after by forward-thinking organizations to shape and deliver innovative data models, analytics-ready datasets, and business metrics that fuel impactful insights, reporting, and decision-making.

This role will focus on collaborating with Commercial and Operations teams, Data Business Analysts, and SMEs to design, build, test, and maintain reliable, well-tested data models that power reporting, insights, and activation use cases.

Core Responsibilities:

  • Design and develop high-quality data models and SQL transformations using dbt to enable analytics for Commercial & Operations teams.
  • Extend enterprise data models by creating domain-specific dimensions, measures, and KPIs aligned with Commercial & Operations business needs.
  • Partner with Data BAs, Customer SMEs, and centralized data modelling teams to translate business rules into curated data assets.
  • Ensure models are well-documented in data catalogues and adhere to best practices in coding, testing, and version control.
  • Work closely with centralized Data Engineering and Data Modelling teams to ensure alignment with enterprise frameworks, governance, and standards.
  • Provide trusted data outputs to enable BI dashboards, analytics, and reporting for Commercial & Operations teams.
  • Enable downstream use cases in BI, reporting, and activation.
  • Collaborate with stakeholders across Commercial, Operations, Technology, Cyber, Data Privacy and Ethics to ensure dependencies and requirements are well understood.

Requirements and Qualifications:

  • 2–5 years of experience in analytics engineering, BI development, or data modelling roles.
  • Strong proficiency in SQL (queries, stored procedures, performance optimization).
  • Experience with dbt for data transformation and data pipeline management.
  • Hands-on experience with cloud-based data platforms.
  • Familiarity with data modelling concepts (fact-dimension, star schema, medallion architecture).
  • Understanding of business metrics and KPI creation for analytics and BI.
  • Experience working with data catalogues and GitHub for version control.
  • Strong analytical, problem-solving, and communication skills – able to work with both technical and business stakeholders.

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