Data Engineer

Global 360; City of Melbourne; Hybrid; AUD 100,000 - 130,000; Full time

Job summary

A leading analytics firm in Melbourne is seeking a Senior Data Engineer to enhance data science initiatives. You will develop and deploy statistical models, mentor teams, and leverage both Google Cloud and Azure platforms. The ideal candidate will have 5–7 years of experience and a Bachelor's degree in a related field, along with strong SQL and Python skills. Flexible working options are available.

Benefits

Flexible work arrangements

Strong community focus

Career development opportunities

Qualifications

• 5–7 years’ experience as a Data Engineer in a commercial setting.
• Proven ability to design scalable ELT pipelines.
• Strong SQL and Python skills for data engineering.

Responsibilities

• Build and deploy statistical models to solve business challenges.
• Mature data platforms and engineering practices.
• Collaborate with teams across different departments.

Skills

Data Engineering

Analytics Engineering

SQL

Python

Cloud technologies

Modern Developer Workflows

BigQuery

Power BI

Education

Bachelor's degree in computer science or related field

Tools

Google Cloud

Azure

Terraform

Job description

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The Role:
Are you passionate about turning data into a real-world impact? Join us as a Senior Data Engineer and help lead a new wave of analytics innovation. You’ll be a key part of a dedicated project team delivering high-value, MVP-driven solutions. This role is responsible for advancing our data science practices, from model development to deployment and governance.

What’s in it for you?

• Build and deploy statistical models and advanced analytics to solve real business challenges
• Influence and uplift our end-to-end data science capability
• Work with modern Azure-based platforms
• Collaborate with talented teams across analytics, business intelligence, actuarial, data engineering, and business departments
• Be part of a values-led organisation with a strong purpose and community focus
• Flexible hybrid work arrangement with work from home and in-office

Skills & Experience:

• 5–7 years’ experience as a Data Engineer / Analytics Engineer in a commercial setting.
• Bachelor’s or higher degree in computer science, information systems, data/analytics engineering, or a related quantitative field.
• Proven ability to design, build, and productionise scalable ELT pipelines and analytics datasets (batch and streaming) using modern tooling.
• Experience maturing data platforms and engineering practices, including standards for modelling, testing, code review, CI/CD, and governance.
• Expertise with Google Cloud data stack—e.g. BigQuery, Cloud Storage, Dataform or dbt (for ELT), Cloud Composer (Airflow), Dataflow/Beam, Pub/Sub, Cloud Run—and strong familiarity with Looker semantic modelling (LookML).
• Experience with Azure platforms is desirable. (Data Factories, Fabric Services)
• Experience with Microsoft Power BI reports and generating on-demand reports.
• Proficient with modern developer workflows: Git, GitHub/GitLab/Cloud Build CI/CD, Infrastructure-as-Code (e.g., Terraform), notebooks where appropriate.
• Strong SQL (performance tuning, partitioning/clustering) and dimensional/data-vault modelling skills.
• Highly proficient in Python for data engineering (packaging, testing, virtual environments); familiarity with R an advantage where needed for analytics handoffs.
• Solid understanding of security, cost optimisation, observability (logging/metrics/alerts), and data quality frameworks (tests, CI checks, SLAs/SLIs).

Highly Desirable

• Experience in Insurance or Banking
• Power BI skills
• Microsoft Azure Certifications

The Company:
Established since 1953 offering stability and security, a great place to grow and develop your career. Having a reputation for excellence you will be able to utilise your skills on challenging and meaningful projects, supported by other subject matter experts within our own collaborative and supportive team.

You will be joining a team from various walks of life accompanied by a broad range of skillsets in this highly collaborative environment where teamwork is our most highly valued asset.

Please note: A criminal background check and written assessment will make up part of the recruitment process.