V

Versent

Enterprise tech transformation: cloud and security

Senior Data Engineer - Snowflake

Data EngineeringUpdated on Nov 15
Full-timeNo salary listed

About the Job

Requirements

  • At least 5 years of 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.
  • Experience with AWS and/or Azure cloud platforms.
  • 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.
  • Full working rights in Australia are required.

Responsibilities

  • 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.

Desired Qualifications

  • Experience with Snowflake Cortex AI Functions.
  • Experience with Cortex Search, Cortex Analyst, or Cortex Agents.
  • Experience with RAG and semantic search solutions.
  • Experience with AI-powered data pipelines and data products.
  • Experience with Databricks Mosaic AI and Vector Search.
  • Experience with data observability and lineage tooling.
  • Experience with FinOps and cloud cost optimisation.
  • Snowflake SnowPro Core certification.
  • Databricks Data Engineer Professional certification.
  • AWS Solutions Architect Associate certification.
  • Azure Data Engineer Associate certification.
  • HashiCorp Terraform Associate certification.
  • dbt Analytics Engineer certification.

About the Company

Versent

Enterprise tech transformation: cloud and security

Versent provides technology transformation services for large enterprises, focusing on security, automation, and cloud. Its offerings help organizations deliver APIs, mobile apps, digital content, microservices, and data services with high quality, elasticity, and speed. The company achieves this through end-to-end engagements that cover operating-model redesign, architecture and design, building, testing, implementation, and operations, supported by specialized, on-shore teams with deep expertise in Cloud, Identity, Security, APIs, DevOps, Full-Stack Automation, Digital, Microservices, Data, and IoT. What sets Versent apart is its combination of strong foundations in core tech areas with on-shore delivery and a startup-like mindset, enabling fast, reliable delivery for enterprise clients. The company's goal is to help enterprises think and act like startups to transform their technology landscape effectively.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
Melbourne VIC, Australia
Founded
2014

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