Data Engineer: Fast-Track Growth, Learning & Impact

Irish Around Oz; The Rocks; On-site; AUD 120,000 - 160,000; Full time

Benefits offered by this job

Mentoring Program

360 Progress Reviews

Paid Certifications

Hackathons & Innovation Days

Team Building Days

Employee Assistance Program

Job summary

Vivanti is seeking a Data Engineer to design and build scalable data pipelines, establish lakes/warehouses, and ensure secure, cost-effective data platforms. You will collaborate with analysts, ML engineers, and platform teams to deliver impactful data solutions across diverse industries.

The role emphasizes hands-on development with modern tools like Snowflake, Databricks, Airflow and cloud environments (Azure, AWS, GCP). A strong data background and passion for learning are essential.

Qualifications

• 5 years of experience using SQL, Python or other relevant technology.
• Bachelor’s Degree in Computer Science, Engineering, Physics, Mathematics or related field.
• Experience in data or tech environments is beneficial.

Responsibilities

• Design and build pipelines to ingest, transform and load data.
• Set up data lakes and warehouses for scalable access.
• Ensure systems are secure, reliable and cost-effective.
• Collaborate with analysts, ML engineers and platform teams.

Skills

SQL & Python

Education

Bachelor's Degree in CS/Engineering/Physics/Math

Tools

Python

Spark

Airflow

Snowflake

Databricks

BigQuery

Neo4J

dbt

Fivetran

Terraform

Azure

GCP

AWS

Job description

Vivanti is seeking a Data Engineer to design and build scalable data pipelines, establish lakes/warehouses, and ensure secure, cost-effective data platforms. You will collaborate with analysts, ML engineers, and platform teams to deliver impactful data solutions across diverse industries.

The role emphasizes hands-on development with modern tools like Snowflake, Databricks, Airflow and cloud environments (Azure, AWS, GCP). A strong data background and passion for learning are essential.