Data Engineer β€” Hybrid Pipelines & BI (Melbourne)

Data Engineer β€” Hybrid Pipelines & BI (Melbourne)

Temporary 63000 - 77000 $ / year (est.) Hybrid
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At a Glance

  • Tasks: Design and maintain scalable data pipelines while developing insightful Power BI reports.
  • Company: Join a leading professional search group in Melbourne with a focus on innovation.
  • Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: 12-month contract with a dynamic team and excellent career advancement potential.
  • Why this job: Make an impact by enabling data-driven decisions in a collaborative environment.
  • Qualifications: Experience with Snowflake, dbt, Fivetran, and strong analytical skills required.

The predicted salary is between 63000 - 77000 $ per year.

Professional Search Group is seeking a Data Engineer in Melbourne to join on a 12-month fixed-term contract with a 4-day in-office hybrid arrangement.

You will design, build and maintain scalable data pipelines, work with Snowflake, dbt and Fivetran, and develop Power BI reports while collaborating with IT and business stakeholders to enable data-driven decisions.

Strong technical ownership and cost optimisation across cloud environments are expected, with opportunities to influence analytics.

Data Engineer β€” Hybrid Pipelines & BI (Melbourne) employer: Professional Search Group

Join a global firm that values its employees and fosters a supportive work culture, where your expertise in payroll will be recognised and rewarded. With competitive salaries, comprehensive benefits, and clear pathways for professional development, this role as an End-to-End Payroll Specialist offers you the chance to thrive in a collaborative environment while making a meaningful impact on the payroll processes for 2,200 employees across Australia.

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Contact Details:

Professional Search Group Recruitment Team

We think you need these skills to ace Data Engineer β€” Hybrid Pipelines & BI (Melbourne)

Communication Skills
Python
Problem-Solving Skills
Data Governance
Data Engineering
Data Pipeline Development
Data Quality Assurance