Senior Data Engineer

Ticketek Entertainment Group is a global fan experience company that tickets, promotes and delivers live experiences. Our Group includes a Fan Experience Platform (Ticketek), Event promoting, with businesses across Sport (TEG Sport), Touring (TEG Touring) and Family Experiences (TEG Experiences) and our digital business (Ovation).

About the Role

As a Senior 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.

• Provide technical leadership in the data space, collaborating with cross-functional teams including Architecture, QA, BA, Application Engineering, Data Engineering, Data Science, Analytics, Digital Marketing, and others.
• Act as a key driver of technical delivery, proactively identifying risks and solutions, and coordinating with engineers, BAs, QAs, and PMs to ensure successful execution of data initiatives.
• Lead technical solution design and troubleshooting, ensuring the team builds scalable and maintainable systems.
• 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 such as 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, and related tooling.
• Collaborate with Site Reliability Engineers to ensure stability and uptime of production pipelines and services.
• Continuously identify opportunities for performance improvement, cost optimization, and process efficiency.
• Work with Data Scientists to ensure high-quality data for Machine Learning models and integrate them into production-ready pipelines.

Essential experience & skills

• Undergraduate degree in Computer Science, Engineering, Data Science, or a related discipline.
• 5+ years of hands-on experience in data profiling, source-to-target mapping, ETL development, SQL optimization, 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 with relational databases (SQL) and NoSQL databases, particularly MongoDB.
• Ability to translate complex business requirements into technical solutions through cross-functional collaboration, strong communication, and problem-solving.
• 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 with AI/ML technologies

• 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

For more information about TEG please visit the official site.

TEG is an equal opportunity employer committed to embracing diversity, respect, and care for our people and communities. If adjustments are needed for a fair recruitment process, please advise us when scheduling your interview.

*Only direct applications will be considered. No recruiters please*