Data Engineer

Ticketek Entertainment Group, Sydney, Australia

What our tracking knows about this posting

Published on 16 October 2026 · first appeared in our records on 16 October 2026.

Stable posting: first seen on 16 October 2026, with no abnormal reposting.

This posting shows no salary, while 9% of open postings in the same sector in this country (Australia) do.

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Ticketek Entertainment Group (TEG) is a Live Experience Group that helps people discover, access and experience the unforgettable. We believe Life is better live®. With over 50 years in live entertainment, we sell more than 30 million tickets annually, connect with 30 million fans across Australia and New Zealand, and bring 18,000+ events to life each year. Headquartered in Sydney, we operate globally across eight pillars: Ticketing, Live Touring, Sport, Immersive Experiences, Customer & Data Solutions, Venues, VIP Experiences and Partnerships. Through our integrated operating model, we bring the best live content, ticketing and technology to our partners and create unforgettable memories that last a lifetime Our values guide everything we do: we partner with purpose, empower boldness within clear boundaries, and celebrate human connection – always putting the fan first. The Role We are looking for an experienced Data Engineer who applies strong coding expertise and industry best practices to drive outcomes for initiatives defined within the data engineering space. Outcomes to Deliver In this role, success looks like: • Technical Delivery : Ensure adherence to data privacy, security, observability, and governance standards while building scalable data pipelines and batch/streaming solutions. • Business Alignment: Act as a technical partner to business stakeholders, translating business needs into robust, data-driven solutions. • Operational Excellence: Collaborate with Site Reliability Engineers and Data Scientists to maintain pipeline stability, uptime, and high-quality data integration. Capabilities to Bring • Technical Capabilities: 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, Confluence, RET, and AI/ML implementations is highly desirable.) • Database & Pipeline Expertise: Proficient in relational (SQL) and NoSQL databases (MongoDB), along with streaming frameworks (Kafka, Spark, Airflow, Delta Lake). • Collaboration & Communication: Ability to communicate effectively with technical and non-technical stakeholders, navigate ambiguous requirements, and maintain high professional standards • Exposure to CI/CD tools and practices (Ansible, CloudFormation, Jenkins) and cloud platforms including GCP expertise. • Work with global teams across varied time zones and maintain high standards of workplace safety, diversity, and professional communication.

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