Skip to main content

Data Modelling Engineer

Expired
This role has expired and is no longer accepting applications. Browse similar roles →
TEKsystems
Adelaide, SA
hybrid
Full Time

Apply for this job

Posted 4 months ago
This role is expired

These roles are hiring now

View all similar roles →

Analytics Engineer

UpGuard
Australia
remote
  • Own modeled revenue data layer supporting Sales, CS, Finance, and exec team
  • High-growth SaaS experience, especially through scale-up phase
  • RevOps fluency, dbt modeling, SQL, data warehouse architecture
Posted 3d ago

Engineering Lead - Data

Lendi Group
Sydney, NSW
hybrid
  • Lead data engineering team, drive data platform strategy and delivery
  • 8+ years cloud-based data platform and engineering experience
  • Databricks, Snowflake, AWS, dbt, Airflow, Python, SQL
Posted 4d ago

Data and AI Engineer

Woolworths Group
Norwest, NSW
hybrid
  • Design analytics-ready data models and semantic layers for Finance
  • 3-5 years data engineering or analytics engineering experience
  • SQL, GCP, BigQuery, Dataform, Vertex AI, Gemini, Looker
Posted 12d ago

Senior Analytics Engineer - Product Insights & Enablement

Canva
Sydney, NSW
hybrid
  • Transform raw data into scalable models for product insights & reporting
  • 5+ years advanced SQL and modern data transformation tools experience
  • dbt, SQL, data modelling, cloud data warehouses, analytics engineering
Posted 18d ago
Job Summary
  • Global Mining Enterprise
  • 12-month contract | Adelaide Based | Hybrid work
  • Data Modelling/Engineering | AWS/Snowflake/Python/DBT

Role Title: Data Modelling Engineer

Duration: 12 Month contract

Location: Adelaide, South Australia


A high‑performing team in the resources sector is seeking a Senior Data Modelling Engineer for a 12‑month contract. You’ll design and deliver scalable data models, pipelines, and ML‑ready datasets using modern tooling across a fast‑moving, agile environment.

What You’ll Do

  • Build and maintain data models and pipelines using dbt, Snowflake, and Python.
  • Orchestrate ETL workflows with Apache Airflow/Astronomer.
  • Optimise Snowflake performance and ensure reliable data processing.
  • Prepare high‑quality datasets for machine learning in partnership with Data Scientists.
  • Maintain CI/CD pipelines via GitLab.
  • Contribute to agile ceremonies and team delivery.
  • Complete a structured handover before early February.
  • Develop new ingestion pipelines and Business Domain Models as required.