DNA Technology Services logo

Senior Data Engineer

DNA Technology Services
Department:Software Development
Type:ON-SITE
Region:Melbourne
Location:Melbourne, Victoria, Australia
Experience:Mid-Senior level
Estimated Salary:A$120,000 - A$150,000
Skills:
AZURE DATA FACTORYAZURE SYNAPSE ANALYTICSFABRICSSISSQLETLELTDATA MODELINGDATA PIPELINESCLOUD ENVIRONMENTS
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Job Description

Posted on: September 22, 2025

🚀 We’re Hiring: Senior Data Engineer – Melbourne

📍 Location: Melbourne

💼 Job Type: Fixed Term – 1 year (potential to extend up to 2 more years)

About the Role

We are seeking a Senior Data Engineer to join our client’s Data & Insights team. This role will be a key contributor to the migration of legacy reporting platforms and the modernization of data infrastructure. You will design and optimize scalable data pipelines, integrate multiple data sources, and ensure high-quality, reliable data delivery to support business applications and reporting.

The ideal candidate is hands-on with Azure data tools, SQL, and ETL/ELT processes, with a proven track record of delivering data engineering solutions in large-scale environments.

Key Responsibilities

  • Design, build, and maintain scalable data pipelines to support enterprise data processing and reporting.
  • Collaborate with cross-functional teams to integrate data from multiple sources into centralized platforms.
  • Support the migration of data systems from legacy to modern cloud platforms (Azure).
  • Optimize back-end systems, databases, and workflows for performance and cost-efficiency.
  • Ensure data quality, accuracy, and integrity across all environments.
  • Troubleshoot and resolve data processing or storage challenges.
  • Explore new tools, frameworks, and approaches to enhance data engineering practices.

Required Skills & Experience

  • Degree in Data Engineering, Computer Science, Information Systems, or related field
  • 3+ years of experience in Data Engineering (preferably in migration/transformation projects)
  • Strong experience with ETL/ELT processes and data modeling
  • Hands-on expertise in the Microsoft stack:
  • Azure Data Factory
  • Azure Synapse Analytics / Fabric
  • SSIS
  • Advanced SQL (any dialect) for transformation, optimization, and data analysis
  • Experience building large-scale data pipelines
  • Familiarity with cloud environments (Azure preferred)
  • Strong problem-solving and collaboration skills

Nice to Have

  • Exposure to Power BI and semantic data modeling (SSAS / tabular models)
  • Experience defining and standardizing KPIs
  • Experience with SSRS or other reporting tools
  • Ability to work with both structured and unstructured dataWhy Join?
  • Be a key player in data platform modernization initiatives
  • Work with a supportive team driving enterprise-level transformation
  • Long-term role with extension potential (up to 3 years total)
  • 👉 Apply now to join a forward-thinking team shaping the future of enterprise data in Melbourne!
Originally posted on LinkedIn

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