Build the data platforms, AI solutions and intelligent products shaping the future of enterprise technology.
At Versent, we're partnering with some of Australia's leading organisations to solve complex data challenges, modernise legacy platforms and unlock the transformative potential of AI.
We're looking for a Senior Data Engineer who is passionate about building high-performance data platforms, enjoys solving difficult engineering problems, and thrives in a consulting environment where every engagement brings a new challenge.
Working with technologies such as Snowflake, Databricks, AWS and Azure , you'll design and deliver modern, cloud-native data solutions that turn data into strategic advantage. Beyond traditional data engineering, you'll help clients harness emerging AI capabilities to build intelligent products, automate business processes and create real-world business impact.
This is a hands-on role for engineers who love building, innovating and influencing outcomes. You'll work alongside some of Australia's best cloud, data and AI specialists, helping clients move from ambition to execution while shaping the next generation of data-driven and AI-enabled organisations.
If you're excited by modern data platforms, AI innovation and delivering meaningful outcomes for customers, we'd love to hear from you.
What you'll be doing
As a Senior Data Engineer, you'll work closely with clients and delivery teams to design and deliver scalable data solutions that drive real business value.
You'll:
Build and optimise modern data platforms using Snowflake or Databricks
Develop batch and real-time data pipelines for analytics, reporting, AI and operational use cases
Create AI-powered data products using technologies such as Snowflake Cortex, semantic search and retrieval-augmented generation (RAG)
Design scalable, secure and reliable data architectures across AWS and Azure
Implement data quality, observability and governance frameworks
Work directly with client stakeholders to shape requirements and solve complex business challenges
Apply AI-assisted engineering approaches using tools such as GitHub Copilot and emerging agentic workflows
Drive performance, scalability and cost optimisation across cloud data environments
Contribute to technical design, estimation and delivery planning across consulting engagements
What we're looking for
We're looking for engineers who enjoy building, solving and collaborating.
You'll bring:
5+ years' experience in Data Engineering or closely related software engineering roles
Strong hands-on experience with Snowflake in production environments
Experience with Databricks and modern lakehouse architectures
Advanced SQL skills and strong Python or PySpark capability
Experience building ETL/ELT pipelines and orchestration workflows
AWS and/or Azure cloud platform experience
Infrastructure as Code experience using Terraform
Experience with tools such as Airflow, dbt, Kafka or similar
Strong understanding of data modelling, governance and security practices
Experience working directly with customers, stakeholders and engineering teams
Excellent communication and problem-solving skills
Bonus points if you have experience with
Snowflake Cortex AI Functions
Cortex Search, Cortex Analyst or Cortex Agents
RAG and semantic search solutions
AI-powered data pipelines and data products
Databricks Mosaic AI and Vector Search
Data observability and lineage tooling
FinOps and cloud cost optimisation
Certifications we value
We're heavily invested in our partnerships with Snowflake and Databricks, so certifications are highly regarded, including:
Snowflake SnowPro Core
Databricks Data Engineer Professional
AWS Solutions Architect Associate
Azure Data Engineer Associate
HashiCorp Terraform Associate
dbt Analytics Engineer
Location
Australia-based with full working rights required.
Hybrid working model with flexibility and client engagement as required.
Life at Versent
We're a diverse team of motivated humans who think…