Data Engineer for Live Entertainment - Hybrid

TEG; Sydney; Hybrid; AUD 110,000 - 160,000; Full time

Benefits offered by this job

Front row tickets and backstage access

Global offices across seven countries

Hybrid and flexible working

Parental leave for everyone

Additional leave options

Employee Assistance Program (EAP)

Volunteer day

Development programs like Ticketek AkA

ALL STAR Awards and milestones

Job summary

Ticketek Entertainment Group (TEG) in Sydney seeks an experienced Data Engineer to deliver scalable data pipelines and batch/streaming solutions while upholding data privacy and governance standards.

You will partner with business stakeholders, site reliability engineers, and data scientists to ensure robust, high-quality data integration and operational excellence across global teams.

Qualifications

• 3+ years of experience in data profiling, ETL development, SQL optimization, and large-scale data processing using AWS (Kinesis, Redshift, Lambda, S3) and modern platforms (Snowflake, Databricks, SSRS, GCP).
• Experience with tools like Jira and Confluence is desirable.
• Exposure to CI/CD tools (Ansible, CloudFormation, Jenkins) and cloud platforms including GCP.

Responsibilities

• Ensure adherence to data privacy, security, observability, and governance standards while building scalable data pipelines and batch/streaming solutions.
• Act as a technical partner to business stakeholders, translating business needs into robust, data-driven solutions.
• Collaborate with Site Reliability Engineers and Data Scientists to maintain pipeline stability, uptime, and high-quality data integration.

Skills

Data profiling

ETL development

SQL optimization

Large-scale data processing

Data governance & privacy

Tools

Jira

Confluence

RET

AI/ML implementations

Ansible

CloudFormation

Jenkins

Kafka

Spark

Airflow

Delta Lake

GCP

Job description

Ticketek Entertainment Group (TEG) in Sydney seeks an experienced Data Engineer to deliver scalable data pipelines and batch/streaming solutions while upholding data privacy and governance standards.

You will partner with business stakeholders, site reliability engineers, and data scientists to ensure robust, high-quality data integration and operational excellence across global teams.