Senior Data Engineer

19 hours ago

Melbourne, Victoria, Australia DNA Technology Services Full time $120,000 - $180,000 per year

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 data

Why 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

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