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16 часов 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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Описание вакансии

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TL;DR

Senior Data Engineer (Snowflake/Python): Building and scaling a cloud-native data platform for analytics and AI-driven products with an accent on reliable data foundations and Snowflake optimization. Focus on designing scalable pipelines, implementing dimensional models, and enabling AI capabilities using Snowflake Cortex.

Location: Hybrid in Burleigh Heads, Australia

Salary: £110,000 – £130,000

Company

hirify.global is a recruitment firm hiring for a rapidly growing technology ecosystem.

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 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, observability, and monitoring 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.
  • Location: Must be based in or able to work in Burleigh Heads, Australia (Hybrid)

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#.

Culture & Benefits

  • Modern Snowflake-first technology stack.
  • High ownership with direct impact on platform and product direction.
  • Opportunity to work on real-world AI implementation rather than prototypes.
  • Hybrid and flexible working environment.
  • Collaborative, engineering-led culture focused on innovation and execution.

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