Finance Data Engineer: Frontend Dashboards & AI

Pinnacle Investment Management Group

City of Brisbane

On-site

AUD 90,000 - 130,000

Full time

45 hours ago
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Job summary

Pinnacle Investment Management Group Limited is seeking a data engineering professional to join our Brisbane team. You will collaborate with business users, design self-service dashboards, and implement data pipelines using Python, SQL Server, and Databricks.

The role focuses on data cleansing, ETL/ELT workflows, and integrating AI into processes while coordinating with stakeholders and maintaining robust version control with Git.

Qualifications

  • Graduate degree in Computer Science, IT or Software engineering.
  • Proven ability to build relationships with stakeholders.
  • Team player with strong communication and deadline discipline.
  • Interest in financial services and willingness to relocate to Brisbane.

Responsibilities

  • Collaborate with business users to gather requirements, wireframe and sign-off.
  • Frontend development: build menus, forms and dashboards for self-service data access.
  • Develop in Python and libraries such as pandas; work with APIs.
  • Develop SQL Server queries and ETL/ELT pipelines.
  • Integrate AI into processes using Databricks.
  • Use Git for code repository management and version control.
  • Cleanse data and rationalise collection points and methods.
  • Review and improve existing systems and processes; contribute to project implementation.
  • Manage databases and leverage Airflow for workflow orchestration.

Skills

Python
SQL
ETL/ELT
Data visualization
Pandas
Databricks
Airflow
Git
Front End development

Education

Graduate degree in Computer Science, IT or Software engineering

Tools

SQL Server
MS Azure
Databricks

Job description

Pinnacle Investment Management Group Limited is seeking a data engineering professional to join our Brisbane team. You will collaborate with business users, design self-service dashboards, and implement data pipelines using Python, SQL Server, and Databricks.

The role focuses on data cleansing, ETL/ELT workflows, and integrating AI into processes while coordinating with stakeholders and maintaining robust version control with Git.

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