At a Glance
- Tasks: Develop and optimise data pipelines using Azure Databricks, Microsoft Fabric, and Power BI.
- Company: Join a dynamic data and analytics team focused on enterprise data improvement.
- Benefits: Hybrid working arrangements and hands-on experience with cutting-edge technologies.
- Other info: Opportunity for career growth and collaboration with internal teams.
- Why this job: Make a real impact by enhancing data reliability and accessibility across the organisation.
- Qualifications: Experience in data engineering, SQL, Python, and Power BI is essential.
The predicted salary is between 90000 - 110000 $ per year.
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.
Data Engineer in Canberra employer: Talent Corp
Join a forward-thinking organisation that prioritises innovation and collaboration in the healthcare sector. As a Solution Architect, you'll be part of a dynamic team dedicated to transforming healthcare technology, with ample opportunities for professional growth and development. Enjoy a supportive work culture that values your expertise and encourages you to make a meaningful impact on the future of healthcare.
