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

AWS Data Engineer
Accenture —Melbourne VIC
- Full-time
- DevOps
- SQL
- AWS
Product Engineer, Megapack, Energy
Tesla —Cremorne VIC
- Full-time
- Schematics
- Software troubleshooting
- Engineering
Specialist SA, Developer Transformation
Amazon Web Services Australia Pty Ltd —Melbourne VIC
- Full-time
- Computer Science
- Public speaking
- SQL
Water and Wastewater Planning Engineer - Melbourne or Brisbane
WSP Australia —Melbourne VIC
- Full-time
- Microsoft Excel
- Engineering
- Bachelor's degree
- Employee stock purchase plan
- Parental leave
Senior Data Engineer - Data Platform
Xero —Hawthorn VIC
- Full-time
- Hybrid work
- AWS
- AI
4d
Data Architect
Avant —Melbourne VIC
- Full-time
- Azure
- SQL
- Financial services
Data Engineer Lead
PFD Food Services —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- AWS
- AI
- Health insurance
- Gym membership
Field Engineering, AI/ML Product Specialist
Databricks —Melbourne VIC
- Azure
- Master's degree
- Machine learning
Product Manager - Data & Automation/AI
David Jones —Melbourne VIC
- Full-time
- Hybrid work
- Agile
- AI
- Annual leave
- Parental leave
Senior Data Architect (enterprise)
Australia Post —Richmond VIC
- Full-time
- Recruiting
- AI
- Analytics
Delivery Lead - Data & AI
Cognizant —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- Engineering
- AWS
1d
Staff Mobile Engineer, Spend Foundation
Airwallex —Melbourne VIC
- Full-time
- Hybrid work
- Computer Science
- Salesforce
- Engineering
Senior Site Reliability Engineer, Spend
Airwallex —Melbourne VIC
- Full-time
- Computer Science
- Salesforce
- DevOps
Senior AI Engineer
Moose —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- Systems design
- Master's degree
- Employee assistance program
Data Architect (Data Platform & Data Science)
InfoCentric —Melbourne VIC
- Full-time
- Azure
- AWS
- AI
Quick Apply
Machine Learning Engineer
Mutinex —South Melbourne VIC
- Hybrid work
- Machine learning
- APIs
- Annual leave
- Work from home
Quick Apply
Cloud DevOps Engineer (AI)
Slater and Gordon —Melbourne VIC
- Hybrid work
- Azure
- DevOps
- Machine learning
- Parental leave
14d
Senior AI Engineer, Data Science
Future Secure AI —Melbourne VIC
- Doctoral degree
- Master's degree
- Software development
Quick Apply
Functional Dynamics 365 Supply Chain/FinOps Lead
Deloitte —Melbourne VIC
- Communication skills
- Parental leave
Head of Data Centre Operations
Siemens —Melbourne VIC
- Full-time
- Master's degree
- Business Administration
- Leadership

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analytics engineer data & analytics jobs near melbourne vic

AWS Data Engineer

Accenture -
Melbourne VIC

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Job Details

Full-time

Qualifications

CI/CD
Data modelling
DevOps
Data structures
SQL
AWS
Agile
Communication skills
SDLC

Full Job Description

Great humans needed. Combine the best of your ingenuity and Cloud technologies to build a better world and manage clients towards change. Join us and do extraordinary things.

About Accenture

Accenture is a global professional services company with leading capabilities in digital, cloud and security. Find out more about us at accenture.com

About you:

As a Cloud Data Engineer, you will design and maintain data analytic road maps and data structures that support business and technology objectives. Naturally inquisitive and open to exploration of underlying data, finding valuable insights and work with functional areas to drive identified actions. You enjoy working both freely and as part of a team and have the confidence to influence and communicate with stakeholders at all levels, and to work in a fast-paced complex environment with conflicting priorities.

About the role:

You will be working on client projects with teams from across our Modern Data Platform and Applied Intelligence practice alongside our industry, functional and technology SMEs on some of our clients most challenging projects. Reporting to the delivery head, you will deliver digestible, contemporary and immediate data content to support and drive business decisions. The key focus of the role is to deliver reports, dashboards and custom solutions for various business critical requirements. You will be involved in all aspects of data engineering from delivery planning, estimating and analysis, all the way through to data architecture and pipeline design, delivery and production implementation.

From day one, you will be involved in the design and implementation of complex data solutions ranging from batch to streaming and event-driven architectures, across cloud, on-premise and hybrid client technology landscapes. We are looking for 3+ years of experience in data engineering in a customer or business facing capacity and experience in the following:

To be considered for this role you will have:
Ability to understand and articulate requirements to technical and non-technical audiences

Stakeholder management and communication skills, including prioritising, problem solving and interpersonal relationship building
Strong experience in SDLC delivery, including waterfall, hybrid and Agile methodologies. Experience delivering in an agile environment,
Experience of implementing and delivering data solutions and pipelines on AWS Cloud Platform.
A strong understanding of data modelling, data structures, databases, and ETL processes
An in-depth understanding of large-scale data sets, including both structured and unstructured data
Strong SQL and/or Python knowledge
Knowledge and experience of delivering CI/CD and DevOps capabilities in a data environment

Location: Melbourne, Sydney, Canberra

At Accenture, we recognise that our people are multi-dimensional, and we create a work environment where all people feel like they can bring their authentic selves to work, every day.

Our unwavering commitment to inclusion and diversity unleashes innovation and creates a culture where everyone feels they have equal opportunity. Our range of progressive policies support flexibility in ‘where’, ‘when’ and ‘how’ our people work to ensure that Accenture is an organisation where you can strive for more, achieve great things and maintain the balance and wellbeing you need.

We encourage applications from all people, and we are committed to removing barriers to the recruitment process and employee lifecycle. All employment decisions shall be made without regard to age, disability status, ethnicity, gender, gender identity or expression, religion or sexual orientation and we do not tolerate discrimination. If you require adjustments to the recruitment process or have a preferred communication method, please email [email protected] and cite the relevant Job Number, or contact us on +61 2 9005 5000.

To ensure our workplace is inclusive and diverse we are setting bold goals and taking comprehensive action. To achieve these goals, we collect information that allows us to track the effectiveness of our Inclusion and Diversity programs. Learn how Accenture protects your personal data and know your rights in relation to your personal data. Read more about our Privacy Statement.

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Refine Your Search

analytics engineer data & analytics jobs in melbourne vic

AWS Data Engineer

Product Engineer, Megapack, Energy

Specialist SA, Developer Transformation

Water and Wastewater Planning Engineer - Melbourne or Brisbane

Senior Data Engineer - Data Platform

Data Architect

Data Engineer Lead

Field Engineering, AI/ML Product Specialist

Product Manager - Data & Automation/AI

Senior Data Architect (enterprise)

Delivery Lead - Data & AI

Staff Mobile Engineer, Spend Foundation

Senior Site Reliability Engineer, Spend

Senior AI Engineer

Data Architect (Data Platform & Data Science)

Machine Learning Engineer

Cloud DevOps Engineer (AI)

Senior AI Engineer, Data Science

Functional Dynamics 365 Supply Chain/FinOps Lead

Head of Data Centre Operations

I want to receive the latest job alert for analytics engineer data & analytics in melbourne vic

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