In-Demand Analytics engineer data & analytics Jobs in Melbourne, Vic

Data Engineer
RATP Dev Australia —Docklands VIC
- Full-time
- Management
- English
- Master's degree
Quick Apply
10h
Senior Data Engineer
Yarra Trams —Melbourne VIC
- Contract
- Azure
- SQL
- Analysis skills
- Parental leave
- Employee assistance program
Senior Analytics Engineer
Housing Choices Australia —Melbourne VIC
- Full-time
- Azure
- DevOps
- SQL
- Annual leave
- Parental leave
Quick Apply
3d
Digital Engineer
Lendlease —Melbourne City Centre VIC
- Full-time
- Management
- Scripting
- Construction experience
- Annual leave
- Parental leave
11d
Data Governance Senior Analyst (Informatica, Collibra or Alation)
PFD Food Services —Melbourne VIC
- Full-time
- Azure
- Data analysis skills
- SQL
- Health insurance
- Gym membership
14d
Senior Data Platform Engineer (GCP)
Johns Lyng Group —Melbourne VIC
- Urgently hiring
- Hybrid work
- Azure
- Computer Science
- SQL
- Employee discount
Customer Engineer, Platform, Google Cloud
Google —Melbourne VIC
- Full-time
- Sales
- Systems design
- Presentation skills
1d
Digital Analyst
Medibank —Docklands VIC
- Management
- Agile
- Analytics
AI Orchestration Engineer
RecordPoint —Melbourne VIC
- Full-time
- Hybrid work
- Salesforce
- Master's degree
- AI
Quick Apply
Senior Data Engineer
InfoCentric —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- SQL
- AI
Quick Apply
Data Analyst
RMIT University —Melbourne VIC
- Full-time
- SQL
- University
- Working with children
2d
Cloud DevOps Engineer (AI)
Slater and Gordon —Melbourne VIC
- Hybrid work
- Azure
- DevOps
- Machine learning
- Parental leave
7d
Vacationer Program | T&T | Customer
Deloitte —Melbourne VIC
- Marketing
- Salesforce
- Research
- Parental leave
Senior AI Engineer, Data Science
Future Secure AI —Melbourne VIC
- Doctoral degree
- Master's degree
- Software development
Quick Apply
Senior Product Data Engineer
Gridsight —Melbourne VIC
- Full-time
- Hybrid work
- AWS
Quick Apply
QA Engineer
Insignia Financial Ltd —Docklands VIC
- Full-time
- SQL
- AI
- Communication skills
4d
Senior Data Engineer
Housing Choices Australia —Melbourne VIC
- Full-time
- Azure
- Computer Science
- SQL
- Annual leave
- Parental leave
Quick Apply
3d
Data Test Engineer
Cognizant —Melbourne VIC
- Full-time
- Hybrid work
- SQL
- AI
2d
Senior SAP Integration Engineer (BTP Integration Suite)
Infosys —Melbourne VIC
- $150,742 - $171,215 a year
- Azure
- Management
- Computer Science
- Health insurance
- Parental leave
Snowflake Data Engineer
Cognizant —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- SQL
- AWS
2d

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analytics engineer data & analytics jobs near melbourne, vic

Data Engineer

RATP Dev Australia -
Docklands VIC

Quick Apply

Job Details

Permanent | Full-time | Contract
10 hours ago

Qualifications

Data modelling
Management
Law
Data lake
Maximo
English
Master's degree
SQL
AWS
Bachelor's degree
Construction experience
AI

Full Job Description

About Us:

RATP Dev is a subsidiary of the RATP Group, a global leader in high-capacity urban rail and the world’s third largest public transport operator.

Our 25,000 people design, operate, maintain and modernise urban and interurban transport networks across more than 100 cities in 17 countries, delivering tailored mobility solutions that respond to each community’s environmental, social, and economic needs.

We build, deliver and commit to the best of public transport - every day, everywhere, for everybody - making it the natural choice for cities and passengers.

We are currently seeking an experienced Data Engineer to join TransitLinX (a John Holland and RATP Dev Joint Venture) based in Melbourne on the Suburban Rail Loop project.

About the Role:

The Senior Data Engineer plays a key role in delivering a strategic Enterprise Data Platform as a core pillar of TransitLinX’s digital transformation. Supporting both the Construction and future Operations phases of the project, you will be instrumental in operating, evolving, and industrialising our newly built Data Lake, supporting business data consumers, and establishing Data Governance foundations.

Reporting to the Enterprise Systems & Innovation Manager, this role offers a strong growth opportunity for a hands-on technical professional who wants to contribute to building and scaling a Data Lake from the ground up within a structured, international, and high-impact environment. As our team is growing, you will have the unique opportunity to help shape our future ways of working. In this role, you will:

Design, Build & Run: Develop and maintain robust data ingestion and transformation pipelines on AWS and Snowflake, implementing staging, clean, and datamart data layers.
Industrialise & Automate: Drive the continuous improvement, automation, and scalability of the platform, including troubleshooting, root cause analysis, and incident resolution.
Support Data Consumers: Act as the primary technical point of contact for Data Lake users (BI, reporting, analytics, and project teams), analysing requirements to publish curated datasets, views, and data models.
Bridge Systems & Architecture: Contribute to the broader Data Architecture vision and integrate the Data Lake with enterprise systems (such as asset management, maintenance, ticketing, and external platforms).
Champion Emerging Tech: Identify opportunities where modern data practices, automation, GenAI, or LLM-based solutions can improve productivity and data accessibility.
Collaborate Internationally: Partner with system integrators and coordinate closely with TransitLinX partners and RATP Dev HQ in France to align with global standards and best practices.
Operational Flexibility: As a growing team, support adjacent business needs when required (such as contributing to dashboards, ad-hoc data analysis, or coordinating external partners)—while keeping your primary focus on platform engineering.

About You:

You are an autonomous, structured, and delivery-focused data professional with a strong architecture mindset. You have the ability to take a step back to assess solutions, while remaining comfortable interacting with both technical and non-technical stakeholders. You are excited by the opportunity to build, structure, and scale a platform over time within a growing team. You will bring:

Core Experience: Approximately 5–7 years of experience in Data Engineering or a similar mid-to-senior technical role.
Technical Stack: Strong, hands-on expertise with Python, SQL, and Snowflake.
Cloud & Orchestration: Solid experience operating AWS-based data platforms utilizing tools like Amazon MWAA (Apache Airflow) and dbt Core.
Data Architecture: A deep understanding of ELT/ETL pipelines, Data Lake architectures, and data governance/traceability principles.
AI & Innovation (Strong Advantage): Familiarity with GenAI, LLMs, prompt engineering, Retrieval-Augmented Generation (RAG), or AI-enabled data platforms.
Communication: Fluency in English with strong stakeholder management skills.
Domain Knowledge (Desirable): Knowledge of Asset Management systems (e.g., Maximo, maintenance, reliability, and lifecycle management).
Experience working within the transport, infrastructure, or industrial sectors.
Familiarity with construction and/or operations data.

Quick Apply

Refine Your Search

analytics engineer data & analytics jobs in melbourne, vic

Data Engineer

Senior Data Engineer

Senior Analytics Engineer

Digital Engineer

Data Governance Senior Analyst (Informatica, Collibra or Alation)

Senior Data Platform Engineer (GCP)

Customer Engineer, Platform, Google Cloud

Digital Analyst

AI Orchestration Engineer

Senior Data Engineer

Data Analyst

Cloud DevOps Engineer (AI)

Vacationer Program | T&T | Customer

Senior AI Engineer, Data Science

Senior Product Data Engineer

QA Engineer

Senior Data Engineer

Data Test Engineer

Senior SAP Integration Engineer (BTP Integration Suite)

Snowflake Data Engineer

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