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2 дня назад

Senior Data Engineer (Snowflake)

110 000 - 130 000GBP
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Australia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Senior Data Engineer (Snowflake/Python): Designing and scaling a cloud-native data platform for analytics and AI-driven products with an accent on Snowflake performance, dimensional modeling, and Azure integration. Focus on building robust data foundations, implementing Snowflake Cortex for AI capabilities, and optimizing data pipelines for high-performance analytics.

Location: Hybrid in Gold Coast, Australia

Salary: £110,000 - £130,000

Company

hirify.global is a recruitment firm partnering with a rapidly growing technology ecosystem to scale its modern data platform.

What you will do

  • Design and maintain scalable batch and incremental data pipelines.
  • Build analytics-ready dimensional models using star and snowflake schemas.
  • Optimize Snowflake for performance, governance, and cost efficiency.
  • Develop Python-based ingestion, transformation, and orchestration processes.
  • Enable AI-driven use cases using Snowflake Cortex and native AI capabilities.
  • Implement CI/CD, testing, and observability for data workflows.

Requirements

  • 5+ years of experience in Data Engineering or Analytics Engineering.
  • Strong hands-on experience with Snowflake in production environments.
  • Advanced SQL skills and strong dimensional data modelling capability.
  • Solid Python experience for data engineering and automation workflows.
  • Experience working within Azure-based cloud environments.
  • Must be based in or able to work from Gold Coast, Australia.

Nice to have

  • Experience with Snowflake Cortex or AI-enabled data workflows.
  • Experience with Sigma Computing or similar cloud-native BI platforms.
  • Exposure to semi-structured or unstructured data (JSON, text, embeddings).
  • Experience integrating data services with applications using .NET / C#.
  • Experience with modern orchestration or DevOps tooling.

Culture & Benefits

  • Modern Snowflake-first technology stack.
  • Direct involvement in real-world AI implementation.
  • High ownership with direct impact on platform and product direction.
  • Hybrid and flexible working environment.
  • Collaborative, engineering-led culture focused on innovation.

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