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

Delivery Lead - Data & AI
Cognizant —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- Engineering
- AWS
4h
Solutions Consultant
MoEngage Inc —Melbourne VIC
- SQL
- APIs
- AI
Quick Apply
1d
Lakebase Specialist Sales
Databricks —Melbourne VIC
- Azure
- Sales
- Databases
Principal Mining Engineer (Underground)
AMC Consultants —Melbourne VIC
- Full-time
- Hybrid work
- Business development
- Bachelor's degree
- Communication skills
- Life insurance
Quick Apply
Systems Engineer
Signify —Melbourne VIC
Senior / Principal Mining Consultant (Strategy Optimization)
AMC Consultants —Melbourne VIC
- Full-time
- Hybrid work
- Doctoral degree
- Master's degree
- Analysis skills
- Life insurance
Quick Apply
Senior / Lead Analytics Engineer
Insight Timer —Melbourne VIC
- Full-time
- Remote
- Master's degree
- SQL
- Bachelor's degree
Quick Apply
5h
Senior Data Technical Lead
Cognizant —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- DevOps
- Systems design
4h

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Based on your search for analytics engineer data & analytics

Delivery Lead - Data & AI
Cognizant —Melbourne VIC
Strong experience in customer analytics / retail / personalization. This role is ideal for a proven leader with deep expertise in data engineering, customer…
4h
Solutions Consultant
MoEngage Inc —Melbourne VIC
Background working with retail, fintech, media, or travel brands in ANZ. Familiarity with AI-first architecture patterns: event driven pipelines, real time…
Quick Apply
1d

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analytics engineer data & analytics jobs near melbourne vic

Delivery Lead - Data & AI

Cognizant -
Melbourne VIC

Apply Now

Job Details

Full-time
4 hours ago

Qualifications

CI/CD
Azure
Engineering
AWS
Data pipeline
AI
Leadership
Analytics

Full Job Description

Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.), Cognizant combines a passion for client satisfaction, technology innovation, deep industry and business process expertise, and a global, collaborative workforce that embodies the future of work. Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 2000, and the Fortune 500 and is ranked among the top performing and fastest growing companies in the world.

Our Culture
Your passion, integrity and experience are integral to Cognizant's success. You will join a dynamic and expanding global leader in IT and Business consultancy where you will be valued for who you are. We take pride in our partnership with our clients, so your ability to add value and provide exceptional service to our clients is fundamental to your success. In return, you will be presented with opportunities to develop your career and collaborate with talented colleagues in a supportive, diverse environment.
At Cognizant we recognize that companies that are open and welcoming to a multi-culturally diverse workforce will thrive with fresh perspectives and collaborative knowledge. Cognizant focuses on promoting & increasing gender diversity and providing a workplace which encourages great participation and an equal playing field, where merit and accomplishment are the only criteria for success.

Role Summary:
We are seeking an experienced Delivery Lead – Data & AI Engineering to drive the end-to-end delivery of scalable data and AI solutions that enhance customer experience and personalization platforms. You will lead cross-functional teams, define engineering standards, and oversee cloud-based data ecosystems across AWS, Azure, Snowflake, and Databricks. Working closely with business stakeholders, you will align technology delivery with strategic objectives and ensure high-quality, value-driven outcomes. This role is ideal for a proven leader with deep expertise in data engineering, customer analytics, and large-scale transformation programs.

Key Responsibilities:

Own delivery of scalable Data & AI solutions aligned to CX strategy
Lead cross-functional teams (Data Engineers, Scientists, QA, BA)
Define architecture, engineering standards, and best practices
Drive adoption of cloud data platforms (AWS/Azure, Snowflake, Databricks)
Ensure CI/CD, data quality, observability, and platform reliability
Engage with business stakeholders for roadmap, prioritization, and value delivery
Manage capacity planning, sprint governance, and delivery KPIs

Required Skills & Experience:

12+ yrs in Data Engineering / Platform Engineering. Snowflake / DBT exposure is good to have.
Strong experience in customer analytics / retail / personalization
Proven leadership in large-scale data programs
Hands-on understanding of data pipelines, ML integration, and cloud

Benefits:
Joining Cognizant will give you the opportunity to learn and collaborate with some of the most talented people in the industry, while having your finger on the pulse of emerging industry trends and working on the cutting edge of technology in your field of expertise.
We recognize that our people perform at their best when they feel valued as significant contributors and that is why at Cognizant, taking care of our employees is a priority:

You can pursue innovative career tracks and opportunities here
You can enhance your professional development through education and dedicated training
We’ll give you the skills you need to keep pace with the changing workplace while our compensation, benefits and wellness packages help you stay healthy and plan for the future.

Next Steps:
Please reach out to our friendly and welcoming team today to apply and register your interest for this full-time role. We'd love to help you get your next role and enable you to fulfil your professional ambitions.

Apply Now

Refine Your Search

analytics engineer data & analytics jobs in melbourne vic

Delivery Lead - Data & AI

Solutions Consultant

Lakebase Specialist Sales

Principal Mining Engineer (Underground)

Systems Engineer

Senior / Principal Mining Consultant (Strategy Optimization)

Senior / Lead Analytics Engineer

Senior Data Technical Lead

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