In-Demand Python developer Jobs in Bundoora Vic

Consultant - Data Engineer
Deloitte —Melbourne VIC
- Azure
- DevOps
- SQL
- Parental leave
Senior Generative AI Developer (GCP)
NTT DATA —Melbourne VIC
- Full-time
- Hybrid work
- Master's degree
- APIs
- AI
- Parental leave
13d
Delivery Consultant: Agentic AI FullStack SDE, AWS Professional Services
Amazon Web Services Australia Pty Ltd —Melbourne VIC
- Full-time
- DevOps
- Master's degree
- AWS
4d
Senior Developer, Digital Solutions
RMIT University —Melbourne VIC
- Full-time
- Analysis skills
- University
- Working with children
9h
Customer Engineer AI, Financial Services, Google Cloud
Google —Melbourne VIC
- Full-time
- SQL
- Presentation skills
- Bachelor's degree
AI Engineering Consultant
Practiv —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- Master's degree
- AWS
Quick Apply
Sr Delivery Consultant: GenAI FullStack SDE, AWS Professional Services
Amazon Web Services Australia Pty Ltd —Melbourne VIC
- Full-time
- DevOps
- Master's degree
- AWS
Senior Full Stack Developer - Data & AI
MYOB —Melbourne VIC
- Hybrid work
- Azure
- DevOps
- AWS
- Parental leave
Forward Deployed Engineer III, Gen AI, Google Cloud
Google —Docklands VIC
- Full-time
- Microsoft Excel
- Doctoral degree
- Computer Science
Technology Lead
Domain Group —Cremorne VIC
- Azure
- Computer Science
- DevOps
Senior Full Stack Developer - Data & AI
Axsys —Melbourne VIC
- Azure
- DevOps
- AWS
- Parental leave
Applied Solutions Architect, Google Cloud
Google —Melbourne VIC
- Full-time
- Presentation skills
- Bachelor's degree
- No degree
12d
AWS Cloud Native Developer
Accenture —Melbourne VIC
- Full-time
- DevOps
- AWS
- Scripting
Data Engineer
Kinetic —Melbourne VIC
- Full-time
- Azure
- DevOps
- SQL
Senior Full Stack Developer
LAB3 —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- DevOps
- Master's degree
Quick Apply
12d
Google Platform Engineer - GCP
NCS Australia —Melbourne VIC
- Full-time
- Hybrid work
- DevOps
- APIs
- Communication skills
- Parental leave
Quick Apply
AWS Cloud Engineer
Accenture —Melbourne VIC
- Full-time
- Computer Science
- AWS
- Education
Senior/Principal Machine Learning Engineer - Aus
Harrison.ai —Melbourne VIC
- Full-time
- Remote
- Doctoral degree
- Research
- AWS
13d
Implementation Engineer
EngFlow —Melbourne VIC
- $80,000 - $120,000 a year
- Full-time
- Remote
- Azure
- Writing skills
- AWS
- Health insurance
- Dental insurance
Quick Apply
Platform Manager (ML)
Coles Group —Hawthorn East VIC
- Full-time
- Azure
- Computer Science
- Engineering
- Free parking
- Employee stock purchase plan

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Consultant - Data Engineer

Deloitte -
Melbourne VIC

Apply Now

Job Details

Benefits

Parental leave
Paid volunteer leave

Qualifications

CI/CD
Power BI
Azure
Data lake
DevOps
NoSQL
SSRS
Google Cloud Platform
Tableau
SQL
AWS
Data pipeline
Agile
Redshift
Informatica
RDS database

Full Job Description

Date:
21 Jul 2026

Location:
Melbourne, VIC, AU

Department:
Technology & Transformation

Description:
Job Requisition ID: 41384

About the Team

The Deloitte Data & AI Operate team’s aspiration is to enable our clients and project teams to Operate in the moment – by combining talent, process, automation, and agility – to ensure all parts of the data and intelligent automation ecosystem are running and delivering operational outcomes as designed.

Our team is responsible for the ongoing support and enhancement of Data & AI technology solutions that our clients use to drive decision-making and insights across their organisations. We work alongside our advisory and implementation teams to deliver world-class solutions and capabilities - from initial solution design through to operations support and continuous improvement. This end-to-end involvement allows us to shape the solutions we operate. Our high-performing team is comprised of highly experienced technical specialists, front-end and back-end developers, DevOps engineers, and delivery managers.

Our relationships with market-leading vendors such as AWS, Microsoft, Google, Snowflake, and Informatica enable our practitioners to be at the forefront of new and emerging technologies and to deliver our suite of services at scale.

About the Role

This position will provide ongoing operational and enhancements support to our client’s existing data products platforms.

As part of this team, you will be responsible for:
Ensuring the smooth operations of our clients’ Data platforms and solutions.
Working directly with internal teams and clients to discuss requirements, taking ownership of medium to high complexity technical tasks.
Adhere to agreed Service level agreements.
Proactively identifying technical improvements and leading their implementations.
Recommending and executing process improvements.
Ensuring the stability, availability, performance of client environments across a range of Data technologies

About your experience

We are looking for someone that enjoys working across a range of technology platforms and data disciplines.

To be successful you must have a proven track record of deploying and supporting data technologies such as SQL, Data Lakes, Data Warehousing, Data Factories, and Databricks across AWS, Azure, and GCP.

Skills required to be successful in this role:
Strong experience and expertise with Azure data technologies (Data Lakes, Data Factory, blob storage, and Databricks) and/or AWS data technologies (RDS, Redshift, EMR, Data Pipeline, AWS Glue)
Strong experience and expertise with SQL and No-SQL technologies
Strong experience with ELT, ETL and data pipelines ingestion technologies processes
Prior experience working in CosmoDB and Synapse highly regarded
Experience with Google Cloud or Snowflake will be highly regarded but is not essential
Expertise in reporting and visualisation technologies, including PowerBI, SSRS, Qlik and Tableau highly regarded
Expertise with CI/CD (Continuous Integration/Continuous Development) technologies and delivery practices.
Ability to write robust Python code
Experience working in an Agile and DevOps approaches
You’re a team player and you just want things to work reliably and consistently

Why Deloitte?

At Deloitte, we focus our energy on interesting and impactful work. We’re always learning, innovating and setting the standard; making a positive difference to our clients and our society. We put coaching at the heart of what we do, helping our people grow their careers in any direction – whether it be up, moving into something new, or even moving across the world.

We embrace diversity, equity and inclusion. We have a diverse collection of people from different backgrounds, with different experiences, gender identities, abilities and thinking styles. What binds us together is a shared commitment to value everyone’s perspective and to cultivate inclusion; so that our work environment is a safe space we can all belong.

We value in-person connection with our clients and our colleagues. We offer several ways for you to work flexibly so that you can serve your clients, stay connected with your team, and manage your personal priorities.

We help you live and work well. To support your personal and professional life, we offer a range of perks and benefits , including retail discounts, wellbeing leave, paid volunteering days, twelve flexible working options, market-leading parental leave and return to work support package.

Apply Now

Refine Your Search

python developer jobs in bundoora vic

Consultant - Data Engineer

Senior Generative AI Developer (GCP)

Delivery Consultant: Agentic AI FullStack SDE, AWS Professional Services

Senior Developer, Digital Solutions

Customer Engineer AI, Financial Services, Google Cloud

AI Engineering Consultant

Sr Delivery Consultant: GenAI FullStack SDE, AWS Professional Services

Senior Full Stack Developer - Data & AI

Forward Deployed Engineer III, Gen AI, Google Cloud

Technology Lead

Senior Full Stack Developer - Data & AI

Applied Solutions Architect, Google Cloud

AWS Cloud Native Developer

Data Engineer

Senior Full Stack Developer

Google Platform Engineer - GCP

AWS Cloud Engineer

Senior/Principal Machine Learning Engineer - Aus

Implementation Engineer

Platform Manager (ML)

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