16 часов назад
Senior Data Engineer (Snowflake)
110 000 - 130 000GBP
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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