Senior Data Engineer

Natural Selection Group; City of Melbourne; On-site; AUD 140,000 - 190,000; Full time

Benefits offered by this job

Join a data-driven organisation

Enterprise-scale platforms and AI

Exposure to modern cloud technologies

High-visibility role

Shape data platform standards

Job summary

Natural Selection Group is seeking a Senior Data Engineer to join a growing data and technology team delivering enterprise-scale analytics, AI, and data platform initiatives.

You will build modern data solutions to drive better business decisions, improve operational performance, and support innovation across the organisation in a hands-on, highly visible role working with cloud technologies.

Qualifications

• Proven experience delivering enterprise-scale data engineering solutions.
• Strong hands-on experience with Python, SQL, and PySpark.
• Experience building and supporting cloud-based data platforms.
• Solid understanding of data modelling, data warehousing, and modern data architecture.
• Experience integrating enterprise applications and data sources using APIs.
• Knowledge of Azure data technologies and modern engineering practices.
• Experience supporting advanced analytics, machine learning, or AI-driven solutions.
• Strong stakeholder management and communication skills.
• Ability to operate across both strategic initiatives and hands-on delivery.
• Experience with Microsoft Fabric, Databricks, Synapse, or similar platforms will be highly regarded.

Responsibilities

• Design and deliver scalable data engineering solutions supporting analytics, AI, and machine learning initiatives
• Build and maintain enterprise data pipelines using Python, SQL, and PySpark
• Develop data ingestion and integration solutions across a range of business systems and data sources
• Deliver batch and near real-time data solutions that support critical business outcomes
• Partner with Data Scientists to deploy and support machine learning and AI models
• Design, build, and optimise cloud-based data platforms and analytical data products
• Implement data quality, monitoring, and governance capabilities
• Drive automation, CI/CD, and engineering best practice across the data landscape
• Troubleshoot complex data and integration issues within production environments
• Work closely with technical and business stakeholders to deliver practical and scalable solutions

Skills

Python

SQL

PySpark

Databricks

Synapse

Microsoft Fabric

Azure

Data modelling

Data warehousing

API integration

Tools

APIs

Job description

This is a fantastic opportunity for a Senior Data Engineer to join a growing data and technology team delivering enterprise-scale analytics, AI, and data platform initiatives.

You'll play a key role in building modern data solutions that drive better business decisions, improve operational performance, and support innovation across the organisation. This is a hands-on senior role suited to someone who enjoys solving complex data challenges, shaping technical solutions, and working with modern cloud technologies in a highly visible environment.

This is: the job

This is a fantastic opportunity for a Senior Data Engineer to join a growing data and technology team delivering enterprise-scale analytics, AI, and data platform initiatives.

You'll play a key role in building modern data solutions that drive better business decisions, improve operational performance, and support innovation across the organisation. This is a hands-on senior role suited to someone who enjoys solving complex data challenges, shaping technical solutions, and working with modern cloud technologies in a highly visible environment.

This is: what you'll do

• Design and deliver scalable data engineering solutions supporting analytics, AI, and machine learning initiatives
• Build and maintain enterprise data pipelines using Python, SQL, and PySpark
• Develop data ingestion and integration solutions across a range of business systems and data sources
• Deliver batch and near real-time data solutions that support critical business outcomes
• Partner with Data Scientists to deploy and support machine learning and AI models
• Design, build, and optimise cloud-based data platforms and analytical data products
• Implement data quality, monitoring, and governance capabilities
• Drive automation, CI/CD, and engineering best practice across the data landscape
• Troubleshoot complex data and integration issues within production environments
• Work closely with technical and business stakeholders to deliver practical and scalable solutions

This is: what you'll need

• Proven experience delivering enterprise-scale data engineering solutions
• Strong hands-on experience with Python, SQL, and PySpark
• Experience building and supporting cloud-based data platforms
• Solid understanding of data modelling, data warehousing, and modern data architecture practices
• Experience integrating enterprise applications and data sources using APIs and other integration patterns
• Knowledge of Azure data technologies and modern engineering practices
• Experience supporting advanced analytics, machine learning, or AI-driven solutions
• Strong stakeholder management and communication skills
• Ability to operate across both strategic initiatives and hands-on delivery
• Experience with Microsoft Fabric, Databricks, Synapse, or similar platforms will be highly regarded

This is: the perks

• Join a business investing heavily in data, analytics, and AI capability
• Work on enterprise-scale platforms and transformation initiatives
• Exposure to modern cloud technologies and emerging AI solutions
• High-impact role with strong visibility across the business
• Opportunity to shape data platform capability and engineering standards

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