Data Engineer at Ticketek Entertainment Group

Sydney, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

11 Mar, 26

Salary

0.0

Posted On

11 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Solution Design, Architecture, Coding, Data Privacy, Data Security, Data Governance, Data Pipelines, AWS, Snowflake, Apache Kafka, CI/CD, Machine Learning, Relational Databases, NoSQL Databases, Cloud Platforms

Industry

Entertainment Providers

Description

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 Experiences) 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. 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. 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. 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*

Responsibilities

As a Data Engineer, you will design and implement data solutions while ensuring adherence to data privacy and security standards. You will also mentor junior engineers and collaborate with various teams to drive data engineering initiatives.