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

Data Modeler
Tata Consultancy Services —Melbourne VIC
- Hospitality
- SQL
- Analytics
Senior Prototyping Engineer, Prototyping and AI Customer Engineering
Amazon Web Services Australia Pty Ltd —Melbourne VIC
- Full-time
- Systems design
- AI
- Communication skills
13h
Technical Lead - Data Engineering
AIA —Melbourne VIC
- Full-time
- Azure
- SQL
- Financial services
2h

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Senior Prototyping Engineer, Prototyping and AI Customer Engineering
Amazon Web Services Australia Pty Ltd —Melbourne VIC
The job will cover Australia and New Zealand customers, with some traveling to customer sites and occasional international travel.
13h
Artificial Intelligence (AI) Strategy Graduate (Transformation)
RACV —Melbourne VIC
A Bachelor’s Degree in Information Technology Systems, Computer Science, Software Engineering, or a related field (desirable).
$80,000 a year
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analytics engineer data & analytics jobs near docklands, vic

Data Modeler

Tata Consultancy Services -
Melbourne VIC

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Job Details

Qualifications

CI/CD
Hospitality
Data modelling
IT service management
Git
SQL
Terrafrom
Analytics

Full Job Description

Job Description:

Roles and Responsibilities:

Technical Skills:

8–10+ years overall in data modeling/governance with at least 3+ years on GCP; strong SQL across analytical warehouses (BigQuery preferred).

Proven delivery of conceptual/logical/physical models for analytics & data products; deep knowledge of dimensional modeling (Kimball) and familiarity with Data Vault 2.0.

Hands‑on Collibra: configuring communities/domains, operating model, business glossary, policies, lineage ingestion, issue management, and stewardship workflows.

Practical stewardship: defining CDEs, data quality rules/thresholds, certification criteria, and data access approvals.

Experience collaborating with data engineers on Dataflow/Dataproc/Composer, and optimizing BigQuery for performance & cost.

Excellent documentation, facilitation, and stakeholder management across business and technology.

Soft Skills: Excellent stakeholder management, facilitation with data owners/stewards, strong documentation and presentation skills

Key Responsiblities:

Enterprise Data Modeling

Translate business concepts into conceptual, logical, and physical data models; define CDEs, semantic layers, and naming/standards.

Build BigQuery schemas optimized with partitioning, clustering, and cost effective storage patterns; design star/snowflake models (Kimball) or Data Vault 2.0 where appropriate.

Guide model versioning, peer reviews, and lifecycle management in Git based workflows.

GCP Data Engineering Collaboration

Partner with data engineers on ingestion and transformation pipelines (Cloud Dataflow / Dataproc / Composer / Pub/Sub / Cloud Functions or dbt on BigQuery).

Define performance & cost guardrails (slots vs. on demand, storage/compute separation, query choreography).

Data Governance & Stewardship

Establish business glossary, data domains, ownership (Data Owners, Stewards, Custodians), and policies/standards aligned to DAMA practices.

Run issue management, access governance, and data certification workflows; drive DQ rule definitions and monitor remediation.

Collibra Administration & Enablement

Configure Collibra operating model (communities, domains, responsibilities), business glossary, and stewardship workflows (BPMN).

Onboard technical metadata and lineage from GCP (e.g., BigQuery, Dataflow) via Collibra Connect/Edge; integrate with DQ/observability tools.

Build Collibra dashboards and stewardship KPIs; coach squads on day to day usage.

Risk, Compliance & Privacy

Embed data policies for PII and regulated datasets (e.g., GDPR, DPDP (India)) within models and governance assets; ensure auditability and access controls via IAM.

Stakeholder & Delivery

Facilitate model walkthroughs wi th business, architecture, and product teams; maintain backlogs; drive 30/60/90 day measurable outcomes.

Good to have :

Collibra Certifications (e.g., Ranger, Data Steward, Governance) and GCP Professional Data Engineer.

Data modeling tools (e.g., erwin, ER/Studio, SqlDBM, Hackolade).

Experience with data quality/observability tooling (including Collibra DQ/Observability or equivalents) and Data Catalog/MDE integrations.

Python/dbt for transformations; CI/CD for data (Git, Terraform for infra is a plus).

Domain experience in Travel, Transportation & Hospitality (TTH) is advantageous

Location

Melbourne

Job Function

TECHNOLOGY

Role

Engineer

Job Id

412742

Desired Skills

GCP - IT Service Management Consulting

Apply Now

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analytics engineer data & analytics jobs in docklands, vic

Data Modeler

Senior Prototyping Engineer, Prototyping and AI Customer Engineering

Technical Lead - Data Engineering

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