Data Engineer- 12 month Max Term Contract at Ticketek Entertainment Group

Sydney, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

22 Dec, 25

Salary

0.0

Posted On

23 Sep, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, AWS, SQL, NoSQL, ETL Development, Data Pipelines, Machine Learning, Data Quality, Data Governance, Apache Kafka, Apache Spark, Snowflake, DynamoDB, Event-Driven Architecture, Collaboration, CI/CD

Industry

Entertainment Providers

Description

About Ticketek Entertainment Group Ticketek Entertainment Group is a global fan experience Company that tickets, promotes and delivers incredible live experiences that are impossible to forget. In a distracted world where nothing beats real human moments, We make life better live! Our Group includes; our Fan Experience Platform (Ticketek) that sells tickets and provides value added services, Event promoting with businesses across Touring (TEG Touring), Sport (TEG Sport), and Family Experiences (TEG Experiences) and our digital business (Ovation) which focuses on delivering seamless data-driven outcomes for our fans and partners About the Role: We are seeking a Data Engineer to harness data-driven solutions within our Technology team. This is your chance to apply your strong coding expertise and industry best practices to architect and implement the crucial data pipelines that power strategic business outcomes. You will be instrumental in transforming raw data, managing large-scale integration projects, setting up streaming services, and implementing Machine Learning (ML) models into production, making a direct impact on fan experiences. 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. Automate ingestion from external sources, ensuring reliability and data quality. 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 Collaborate with Site Reliability Engineers to ensure stability and uptime of production pipelines and services. Work with Data Scientists to ensure high-quality data for Machine Learning models and integrate them into production-ready pipelines. Stay up-to-date and continuously upskill on emerging technologies, frameworks, and best practices in data engineering and cloud platforms. About You Essential experience & skills Undergraduate degree focused on Computer Science, Engineering, Data Science or a related discipline. 3+ years of hands-on experience in data profiling, ETL development, SQL optimization, and testing. Proven experience delivering large-scale data solutions with AWS technologies (Kinesis, Athena, Redshift, DynamoDB, Lambda, S3). Proficiency with modern data platforms and tools, including Snowflake, Databricks, and Apache Storm. 3+ years of experience working with SQL and NoSQL databases, particularly MongoDB. Familiarity with CI/CD tools and practices like Ansible, CloudFormation, and Jenkins. Strong ability to translate complex business requirements into technical data solutions. Excellent interpersonal and communication skills to collaborate effectively with both technical and non-technical teams. Desirable experience & skills Jira / Confluence experience Experience consuming RET Experience to AI/ML technologies. 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 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*

Responsibilities

The Data Engineer will architect and implement data pipelines that drive strategic business outcomes. This role involves transforming raw data, managing integration projects, and implementing Machine Learning models into production.