Senior Engineer - Data & AI Platform

Helia

Sydney

On-site

AUD 180,000 - 240,000

Full time

9 days ago
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Benefits offered by this job

Flexible work options
Wellbeing support
Professional growth

Job summary

Helia, based in Sydney, is seeking a Senior Engineer - Data & AI Platform to design and build an AI-native data platform using Snowflake. You will craft scalable data pipelines and AI-ready datasets, enabling AI workloads and embedded intelligence across the organisation.

The role requires hands-on experience with Snowflake, SQL, dbt, Python, and Snowpark, plus familiarity with LLM/embedding use cases. You will partner with AI engineers to integrate Snowflake-hosted intelligence into

Qualifications

  • Strong experience with Snowflake, SQL, dbt and Python, ideally including Snowpark.
  • Experience with Snowflake AI capabilities and building AI-enabled workflows within a data platform.
  • Exposure to LLM, vector, embedding or semantic use cases.
  • Experience designing scalable data models and architectures, with knowledge of Data Vault, common data models or dimensional modelling.
  • Understanding of machine learning data requirements, feature engineering and/or production AI/ML workflows.

Responsibilities

  • Design and build scalable data pipelines and AI applications using Snowflake-native AI capabilities.
  • Enable in-database AI, LLM, vector and semantic workflows.
  • Design and optimise data models and structures supporting analytical and AI workloads.
  • Contribute to AI-ready data architecture and enterprise data modelling approaches.
  • Prepare governable, high-quality data for AI, ML and analytics.
  • Partner with AI engineers to integrate Snowflake-hosted intelligence into applications.
  • Implement AI observability and monitoring for reliable AI/data solutions.
  • Work with stakeholders to translate concepts into practical data/AI solutions.

Skills

Snowflake
SQL
Python
dbt
Snowpark
LLM
Vector embeddings
Semantic workflows
Data modelling
Data Vault

Tools

GitHub Copilot
Cortex Code

Job description

## Senior Engineer - Data & AI PlatformApply: Sydney, NSW: Full time: Posted 6 Days Ago: JR0000000450Helia is Australia’s first Lenders Mortgage Insurance (LMI) provider, with more than 60 years of expertise in the Australian housing market. We exist to accelerate financial wellbeing through home ownership. Our mission is to deliver innovative, tailored solutions in partnership with our customers, making the home ownership journey simpler and more accessible. We do this through efficient, customer-focused services powered by leading technology, data and digital solutions.As a Senior Engineer – Data & AI Platform, you’ll help design and build an AI-native data platform within Snowflake, enabling AI workloads and intelligent applications across the organisation.Working at the intersection of data and AI engineering, you’ll build scalable data pipelines, AI-enriched datasets and reusable data products, while helping shape a modern, AI-ready data architecture and supporting the organisation to get greater value from AI.**Responsibilities*** Design and build scalable data pipelines and AI applications using Snowflake-native AI capabilities.* Enable in-database AI, LLM, vector and semantic workflows, reducing reliance on external processing.* Design and optimise data models and structures that support both analytical and AI workloads.* Contribute to the evolution of our AI-ready data architecture and enterprise data modelling approaches, including Data Vault and common data models.* Prepare and structure governed, high-quality data for AI, machine learning and advanced analytics.* Partner with AI engineers and technology teams to integrate Snowflake-hosted intelligence into applications and workflows.* Implement AI observability, monitoring and alerting to support reliable AI and data solutions.* Contribute to AI-enabled engineering practices and standards, using tools such as GitHub Copilot and Cortex Code.* Work with technical and business stakeholders to translate complex concepts into practical solutions and help build broader data and AI capability across the organisation. **What You’ll Bring*** Strong experience with Snowflake, SQL, dbt and Python, ideally including Snowpark.* Experience with Snowflake AI capabilities and building AI-enabled workflows within a data platform.* Exposure to LLM, vector, embedding or semantic use cases.* Experience designing scalable data models and architectures, with knowledge of approaches such as Data Vault, common data models or dimensional modelling.* Understanding of machine learning data requirements, feature engineering and/or production AI/ML workflows.* Experience with AI-assisted development tools and an interest in evolving AI-enabled engineering practices.* Strong communication and stakeholder skills, with the ability to translate business needs into practical data and AI solutions.At Helia, we’re building a team focused on creating opportunities and brighter futures for our people. When you join Helia, you become part of an organisation that genuinely cares about what matters to you — whether that’s work-life balance, flexible ways of working, wellbeing, or professional growth. We offer a range of benefits and support designed to help you thrive both personally and professionally. Helia is a place where you can grow, learn and make a meaningful impact. We foster a collaborative and inclusive culture where innovation, continuous learning and cross-functional teamwork are encouraged to deliver great customer outcomes. Located in the heart of North Sydney, our office offers a vibrant workplace experience with some of Sydney’s best views.If you are interested in joining a company where you can realise your full potential and grow, we would love to hear from you! *We have a diverse business community: our people, our customers and communities are reflective of this and as an organisation we are committed to continually hiring a diverse workforce. We ensure our people always feel supported and we do this by our openness to flexible work options and our commitment to inclusion, regardless of career level, life-stage, or experience.*
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