About Ticketek Entertainment Group
Ticketek Entertainment Group is a global fan experience company that tickets, promotes and delivers live experiences impossible to forget. In a distracted world where nothing beats real human moments, We makes life better live!
Our Group includes; our Fan Experience Platform (Ticketek) that sells tickets and provides value added services, Event promoting, with businesses across Sport (TEG Sport), Touring (TEG Touring) and Family Experiences (TEG Experien
ces)
and our digital business (Ovation) which focuses on delivering seamless data-driven outcomes for our fans and partners.
About the Role:
As a Data Engineer you will bring strong technical expertise in solution design, architecture, and coding to drive real outcomes in our data engineering initiatives. You will provide technical leadership, mentor junior engineers, and collaborate with Business and Product teams while continuously advancing your skills with the latest technologies and industry best practices.
Requirements
What does a day in the life look like?
Ensure adherence to data privacy, security, observability, and governance standards.
Collaborate with architects and senior engineers to design resilient, high-performance data solutions.
Build scalable data pipelines to ingest, process, and expose data using technologies like Snowflake, AWS Redshift, Kinesis, Lambda, DynamoDB, S3, Glue, Apache Storm, and others.
Develop batch and streaming data solutions using Apache Kafka, Apache Spark, Airflow, and Delta Lake for real-time and scheduled data processing.
Design and implement event-driven data architectures with streaming frameworks such as Kafka Streams and Kinesis Data Firehose.
Implement Data Quality, Data Lineage, and Observability frameworks
Build CI/CD pipelines using tools such as GitHub Actions, Terraform,
Collaborate with Site Reliability Engineers to ensure stability and uptime of production pipelines and services.
Continuously identify opportunities for performance improvement, cost optimisation, and process efficiency.
Work with Data Scientists to ensure high-quality data for Machine Learning models and integrate them into production-ready pipelines.
Responsible for technical delivery, proactively identifying risks and solutions, and coordinating with engineers, BAs, QAs, and Project Managers (PMs) to ensure successful execution of data initiatives
About You
Essential experience \& skills
Undergraduate degree focused on Computer Science, Engineering, Data Science or a related discipline.
7+ years of hands-on experience in data profiling, source-to-target mapping, ETL development, SQL optimisation, testing, and implementation.
Proven experience delivering large-scale data ingestion, transformation, and processing using AWS technologies such as Kinesis, Athena, Redshift, DynamoDB, Lambda, and S3.
Proficient with modern data platforms and tools including Snowflake, Databricks and Apache Storm.
Strong experience working with relational databases (SQL) as well as NoSQL databases, particularly MongoDB.
Proven ability to translate complex business requirements into technical solutions through effective cross-functional collaboration, strong communication skills, and adaptable problem-solving approach
Exposure to CI/CD tools and practices, including Ansible, CloudFormation, Jenkins, and related automation technologies.
Experience developing and deploying solutions on cloud platforms such as AWS, GCP, or Azure.
Desirable Experience \& Skills
Jira / Confluence experience
Experience consuming RET
Experience to AI/ML technologies.
Benefits
Here’s a taste of what TEG offers:
Complimentary event tickets
Birthday and volunteering leave
Wellbeing discounts \& flu vaccinations
Paid parental leave \& free employee support (EAP)
Global rewards and recognition
Learning, development \& career pathways
A diverse, inclusive, and passionate team
Equal opportunities
For more information about TEG please go to http://www.teg.com.au/
TEG is an equal opportunity employer committed to embrace diversity, respect, and care for our people and communities.
If there are any adjustments that need to be made to ensure you have a fair and equitable experience in our recruitment process, please advise us when scheduling your interview.
*Only direct applications will be considered. No recruiters please*