Data Engineer

4 days ago

Port Melbourne Victoria, Australia 460degrees Full time $80,000 - $120,000 per year

Data Engineer – Permanent, Full Time, On-Site (Port Melbourne)

This is a
full-time, permanent, on-site role
where you'll play a key part in designing, building, and maintaining data pipelines that enable business insight and digital innovation.

If you're passionate about transforming data into value, enjoy working hands-on with cloud technologies, and thrive in a collaborative environment—this role is for you.

About the Role

As a
Data Engineer
, you'll design and manage data pipelines and integrations across multiple platforms, helping our clients make smarter, data-driven decisions.

The role is based with out client on a full time permanent basis. The Data Engineer will be fully supported by the IT Manager, and work closely with Analysts, Developers, and business stakeholders to ensure the reliability, scalability, and quality of data solutions that underpin enterprise performance.

Key Responsibilities:

  • Design, build, and manage robust
    ETL/ELT data pipelines
    .
  • Develop and maintain
    data models, integrations, and warehouse solutions
    using Azure technologies.
  • Collaborate with stakeholders to translate business requirements into scalable technical designs.
  • Support data visualisation and reporting initiatives using
    Power BI and DAX
    .
  • Optimise data flow and automation through scripting in
    C#, Python, and PySpark
    .
  • Ensure best practices for
    data governance, quality, and security
    across environments.

About You

You are an experienced data professional with a passion for solving complex problems through smart data engineering. You balance technical expertise with business awareness and communicate clearly with both technical and non-technical audiences.

What You'll Bring:

  • Proven expertise in
    ETL/ELT pipeline design and management
    .
  • Advanced skills in
    SQL Server
    .
  • Hands-on experience with
    Azure Data Factory
    and
    Databricks
    .
  • Strong coding proficiency in
    C#, Python, and PySpark
    .
  • Experience building
    interactive dashboards and reports
    with
    Power BI and DAX
    .
  • Excellent
    analytical thinking
    ,
    problem-solving
    , and
    communication skills
    .
  • Bachelor's degree in
    Computer Science, IT
    , or a related discipline.
  • Minimum
    5 years' experience
    in a data engineering or similar technical role.

Express your interest by applying online following the prompts below.

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