Junior Data Engineer - SQL/Azure | 6-Month Hybrid Contract

Hitech Asia Pacific; Melbourne; Hybrid; AUD 55,000 - 83,000; Full time

Benefits offered by this job

Hybrid work arrangements

Initial 6-month contract with possible

Contract extensions possible

Job summary

Hitech Asia Pacific is seeking a Junior Data Engineer to support secure ingestion, preparation and transformation of vendor data for reporting and analysis within a Federal Government environment. You will work with SQL, Azure Data Factory, Microsoft Fabric and Power BI on a 6-month contract with the potential for extensions.

The position involves building and monitoring data pipelines, preparing and modelling data for Power BI, and ensuring data quality while handling sensitive information.

Qualifications

• Strong SQL skills for querying and data validation.
• Experience with Azure Data Factory and Microsoft Fabric pipelines.
• Experience with Power BI data prep, modeling and reporting.
• Knowledge of Azure SQL, Data Lake Storage, Key Vault, and Dataverse/Power Platform.
• Ability to obtain Federal Government Baseline clearance.

Responsibilities

• Query, transform and validate data using SQL.
• Build and monitor data pipelines with Azure Data Factory and Microsoft Fabric.
• Prepare and model data for Power BI reporting and analysis.
• Perform data quality checks and securely handle sensitive data.
• Collaborate with stakeholders to support data requirements.

Skills

Strong SQL

Stakeholder engagement

Data security

Tools

Azure Data Factory

Microsoft Fabric

Power BI

Azure SQL

Data Lake Storage

Key Vault

Dataverse/Power Platform

Azure DevOps/Git

Job description

Hitech Asia Pacific is seeking a Junior Data Engineer to support secure ingestion, preparation and transformation of vendor data for reporting and analysis within a Federal Government environment. You will work with SQL, Azure Data Factory, Microsoft Fabric and Power BI on a 6-month contract with the potential for extensions.

The position involves building and monitoring data pipelines, preparing and modelling data for Power BI, and ensuring data quality while handling sensitive information.