Data Engineer - Databricks & Fabric

Talent Corp; Canberra; Ibrido; AUD 100.000 - 140.000; Part-time

Vantaggi offerti da questo lavoro

Hybrid working arrangements

Descrizione del lavoro

Talent Corp in Canberra is seeking a hands-on Data Engineer to develop and optimise data pipelines across Azure Databricks, Microsoft Fabric and Power BI. The role is a 6-month contract with hybrid working arrangements and requires Australian citizenship with Baseline security clearance.

You will work across Databricks, Microsoft Fabric and Power BI to strengthen data solutions, improve integration, maintenance and usage of enterprise data and reporting environments.

Competenze

• Hands-on data engineering using Azure Databricks in enterprise environments.
• Experience with modern data integration and analytics technologies.
• Strong SQL development for data transformations and querying.
• Experience with Power BI datasets and reports.
• Knowledge of data validation and metadata management.

Mansioni

• Develop, maintain and optimize data pipelines and curated datasets using Azure Databricks.
• Investigate and resolve data quality, integration, refresh and reporting issues.
• Design and maintain data models and Power BI datasets and reporting solutions.
• Improve data validation, metadata management, technical documentation and ops processes.
• Support improvement initiatives while mentoring internal teams.

Conoscenze

Azure Databricks

Microsoft Fabric

Power BI

SQL development

Python

PySpark

Data modelling

Data governance

Data integration

Source control

Descrizione del lavoro

• Develop and optimise data pipelines across Azure Databricks, Microsoft Fabric and Power BI
• 6 month contract | Hybrid working arrangements
• Must be an Australian Citizen holding Baseline security clearance

Join an established data and analytics team focused on improving the reliability, quality and accessibility of enterprise data and reporting environments.

This is a hands‑on Data Engineer role combining data pipeline development, reporting, troubleshooting and platform improvement. You'll work across Databricks, Microsoft Fabric and Power BI, helping strengthen existing data solutions while improving how information is integrated, maintained and used across the organisation.

• Develop and optimise data pipelines across Azure Databricks, Microsoft Fabric and Power BI
• 6 month contract | Hybrid working arrangements
• Must be an Australian Citizen holding Baseline security clearance

Join an established data and analytics team focused on improving the reliability, quality and accessibility of enterprise data and reporting environments.

This is a hands‑on Data Engineer role combining data pipeline development, reporting, troubleshooting and platform improvement. You'll work across Databricks, Microsoft Fabric and Power BI, helping strengthen existing data solutions while improving how information is integrated, maintained and used across the organisation.

The Role

Working closely with business stakeholders, ICT specialists and internal data teams, you'll contribute to the development, maintenance and ongoing improvement of enterprise data and reporting capabilities.

Your responsibilities will include:

• Developing, maintaining and optimising data pipelines, transformations and curated datasets using Azure Databricks
• Investigating and resolving data quality, integration, refresh and reporting issues
• Designing and maintaining data models, Power BI datasets and reporting solutions
• Improving data validation, metadata management, technical documentation and operational support processes
• Supporting data and reporting improvement initiatives while providing technical advice and transferring knowledge to internal teams

About You

We're particularly interested in:

• Strong hands‑on data engineering experience using Azure Databricks within enterprise environments
• Experience with Microsoft Fabric and modern data integration and analytics technologies
• Strong SQL development skills, including data transformations, querying and optimisation
• Experience with Python or PySpark for data processing and pipeline development
• Strong data modelling skills and experience developing or supporting Power BI datasets and reports
• Experience with Power Query, DAX, data integration, validation and data quality management
• Strong troubleshooting skills across integrated data platforms, including pipeline failures, data refresh issues and reporting problems
• Experience with source control, deployment practices, technical documentation and data governance, including security and privacy requirements

Why Consider the Opportunity?

This role offers the opportunity to work across both data engineering and analytics, with a strong focus on improving existing platforms and resolving practical challenges across data pipelines, datasets and reporting.

You'll remain hands‑on with Databricks and the broader Microsoft data ecosystem while contributing to improvements in platform reliability, data quality and operational processes, with the opportunity to share your expertise across internal teams.