Junior Data Engineer: ETL, Data Pipelines & Power BI

Bayside Health; Melbourne; On-site; AUD 90,000 - 130,000; Full time

Benefits offered by this job

5 weeks annual leave

Salary packaging

Onsite car parking

Onsite bike parking

Fitness Passport membership

Alfred health facilities access

KU Children’s Services childcare

Job summary

Bayside Health is seeking an Administration Officer Grade 4 to support its Data Platforms and Integration team in Melbourne. The role focuses on developing and maintaining data pipelines, models and reporting for clinical registries, BI and operational analytics.

You will work with SQL, ETL, Python and cloud technologies while collaborating with a multidisciplinary team to improve data quality and delivery across the organisation.

Qualifications

• Minimum 2 years' experience in data engineering, integration, BI or analytics.
• Experience with SQL, ETL processes and data pipelines.
• Experience supporting data pipelines, integrations or reporting solutions.
• Basic programming or scripting in SQL, Python, PowerShell.

Responsibilities

• Assist in building and maintaining data pipelines to load data into data warehouse and cloud environments.
• Support real-time and near-real-time data replication and integrity checks.
• Develop data models for reporting and analytics using Power BI.
• Maintain APIs and integrations across clinical, corporate and analytical systems.
• Contribute to data platform design and governance under senior guidance.

Skills

SQL

ETL

Python

Power BI

Cloud platforms

Data warehousing

Version control (Git)

Confluence/SharePoint

Cerner/EMR familiarity

Education

Tertiary qualification in IT, CS, Data Science or related discipline

Tools

SSIS

SSAS

Azure data services

PowerShell

Job description

Bayside Health is seeking an Administration Officer Grade 4 to support its Data Platforms and Integration team in Melbourne. The role focuses on developing and maintaining data pipelines, models and reporting for clinical registries, BI and operational analytics.

You will work with SQL, ETL, Python and cloud technologies while collaborating with a multidisciplinary team to improve data quality and delivery across the organisation.