Senior Data Analyst - Data Engineering - (Temporary Opportunity - up to 24 months)

Sydney Trains; Burwood; Hybrid; AUD 155,000 - 172,000; Full time

Job summary

Sydney Trains in Burwood, NSW, is looking for a Senior Data Analyst to join the Data Engineering Team in the Finance, Commercial and Performance division. You will work hands-on to transform data into reliable analytics and evidence-based insights.

The role covers AWS workload development, Python, SQL, ETL/ELT, data warehousing and CI/CD with Azure DevOps; you will build scalable, automated data solutions from ingestion through to reporting.

Qualifications

• ETL and Python programming as well as SQL expertise.

Responsibilities

• Work within our Data Engineering Team in the Finance, Commercial and Performance division at Sydney Trains.
• The role is a hands-on technical role for an experienced Senior Data Analyst with strong data engineering capabilities.
• You will work across AWS workload development, Python programming, Azure DevOps or similar Git-based code repositories, CI/CD pipelines, SQL, ETL/ELT and data warehousing to help build scalable, automated, and reliable data solutions from ingestion through to analytics.

Skills

Python

SQL

AWS

CI/CD

ETL/ELT

Data warehousing

Azure DevOps

Tools

Azure DevOps

Git

Job description

Organisation/Entity: Sydney Trains

Job category: Projects

Job location:

Burwood, NSW, AU, 2134

Job reference number: 112112

Employment type: Fixed Term Full-Time

Salary range: $155418.0-$172237.0

You can be part of the team that enables significant service improvements for our people.

You're all about the detail and this role will allow you to drive evidence-based decision making to optimise systems and efficiency, not just for the business but for our customers too. It's data and research with impact you can see.

In this role, you'll:

Work within our Data Engineering Team in the Finance, Commercial and Performance division at Sydney Trains.

The role is a hands-on technical role for an experienced Senior Data Analyst with strong data engineering capabilities.

You will work across AWS workload development, Python programming, Azure DevOps or similar Git-based code repositories, CI/CD pipelines, SQL, ETL/ELT and data warehousing to help build scalable, automated, and reliable data solutions from ingestion through to analytics.

About You

Your relevant Data Engineering experience will include ETL and Python programming as well as SQL expertise.

You’re recognised for your technical skills in AWS workload development using Python programming and CI/CD pipelines.

You are someone who enjoys making quality data available for other technical people in the business that will include data scientists and reporting analyst.

This is an Award RC6 Temporary Full-Time role till 30/11/2028 located at Burwood, with flexibility through our Hybrid working model.

Who We Are

Transport for NSW provides a safe, integrated, and efficient transport system. We connect people, communities and industry every day.

At Sydney Trains, our rail services keep Sydney moving by putting our customers at the centre of everything we do. We work with our local communities to deliver safe, timely and efficient rail services 24 hours a day, seven days a week.

Our trains and network are evolving to meet the needs of our customers now and well into the future. We’re continuing to integrate technological innovations that help us deliver a smarter and more sustainable network.

Join us

Our workforce is as diverse as the community we serve. If you’d like further information on our inclusion and diversity initiatives, visit Transport careers.

Flexible work options may be available.

Applications close 11:59 PM Friday 6 November 2026

Aboriginal people and people living with disability are supported throughout the recruitment process and at work, and we encourage you to apply. Visit Supporting Aboriginal People or Supporting People with Disability for more information or speak to your talent team member to arrange any adjustments to how you interact with us.

Job Segment: Database, Engineer, Data Warehouse, SQL, Data Analyst, Technology, Engineering, Data