DataEngBytes 2026
July 23–July 24, 2026 · Melbourne, Australia
About
DataEngBytes is the largest independent conference for data engineers and practitioners in Oceania. Run by data engineers, for data engineers, it serves as a vendor-neutral forum to bring together data experts, leaders, practitioners, and community members to learn about the latest in the field, share challenges, and discover new solutions. The Melbourne edition takes place on July 23-24, 2026, at Collins Square Business & Events Centre, featuring deep technical talks, hands-on workshops, and networking with over 500 data engineering professionals. The event includes Leaders Day for executives, AI Engineering Day, and the signature AfterBytes party for relaxed networking. With 40+ industry experts speaking, attendees will explore cutting-edge tools, data platforms, AI engineering, and solutions to real-world data challenges. DataEngBytes is part of a broader community network across Australia and New Zealand, fostering connections beyond the conference itself.
Tickets
- Early Bird$699.00Ended
- Full Price$699.00
- Best Value$999.00
Videos
0 talksNo videos published yet. Check back after the event!
Speakers
19 talks- COCarine Oliveira
“Your Data Platform Isn't Broken. Your Team Structure Is. Why ownership, roles, and platform layers matter more than tools”
- FMFrank Munz
“Spark Declarative Pipelines in Action: Live Avionics Streaming from 40,000 Aircraft Overhead”
- ISIgnatius Soputro
“Scalable Data Products with Terraform, Jinja and Python”
- JYJoshua Yu
“Generative Knowledge Modeling: Engineering Repeatable, Auditable GraphRAG Pipelines”
- MAMuhammad Ali
“Rethinking Lock-in in the Age of AI Data”
- EMEmily Melhuish
“Fire and Ice: Building a data platform to power solar operations”
- SSShreya Sharma
“The 7 Stages of AI Engineering Grief”
- IEIrfan Elahi
“One Stream, Many Contracts: Kafka-to-Kafka Republishing Without the Sprawl”
- SMShehan Madusanka
“Synthetic Data in the Age of AI: Testing Models and Applications”
- SVSrinivasan Venkatadri
“Validation-First Data Engineering: Designing Regulated Analytics Pipelines That Are Compliant by Construction”
- STSarah Taylor
“Guidelines and Guardrails: The practices and community powering RMIT's Data Mesh Transformation”
- DWDarren Ware
“Guidelines and Guardrails: The practices and community powering RMIT's Data Mesh Transformation”
- TMTravis Murphy
“Ultimate Guide to Vibe Engineering on Snowflake”
- KMKanishka Mohaia
“The Anti-Chatbot: Building a Fine-Tuned, DPO-Aligned Human-in-the-Loop Copilot”
- NPNick Pinfold
“Flipping the data team - A new way of working”
- LPLuke Parker
“Practical Tips for Vibe Coding & Agent Workflows”
- SHSam Harley
“Your Agents Don't Have a Model Problem, They Have a Pipeline Problem”
- ELEric Lin
Principal Support Engineer - Technical Lead
“The Scalable Data Architecture: Slashing Latency and Costs with Snowflake CoCo”
- JSJordan Simonovski
“Kill the Three Pillars: Observability in the next decade is wide events”