Job Description

Senior AI Analytics Engineer - Sydney (Permanent | Newly Created | Exclusive to NexVenture)

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NexVenture is partnering with an exceptional, best-in-class data team to hire an AI Analytics Engineer - a newly created role for someone who enjoys building clear, dependable data models and contributing to agent-driven, LLM-powered workflows across a modern analytics stack.

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You'll report to the Senior Manager of Data and join a tight-knit, high-performing team, working closely with an existing Analytics Engineer and the broader engineering and data group. It's a collaborative environment where people care about craft, clarity, and building data foundations the business can trust.

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This team has a fantastic culture, supportive leadership, and a thoughtful approach to how they build and use data. It's a outstanding fit for someone who wants to have impact, partner closely across the business, and help lift the standard of analytics engineering while contributing to intelligent automation initiatives.

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As part of the Data & Analytics team, you'll help promote the value of data across the organisation. You'll be central to building and maintaining high-quality data models and pipelines that drive strategic decisions and support agentic and LLM-driven workflows.

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About the opportunity

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In this role, you'll build and maintain high-quality SQL and dbt models that the business can rely on for clarity and decision-making.

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You'll develop reliable, scalable pipelines using Python and modern orchestration tools, ensuring data flows smoothly and consistently across the organisation.

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You'll partner closely with both technical and non‐technical stakeholders to understand their data needs, turning complex business questions into trusted, reusable data models.



A key part of the role involves lifting standards across data quality, documentation, testing, and modelling.

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You'll also work with real‐time and high‐volume data sources, supporting teams across analytics, marketing, logistics, and product with the datasets they need to operate effectively.

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Alongside this, you'll help design and refine agent-based and LLM-powered workflows -supporting intelligent automation, code generation, monitoring, and data quality tooling that enhances speed, reliability, and operational confidence across the analytics platform.

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What you bring

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- 4-5 years' experience in an analytics-leaning data engineering role, ideally within a GCP environment
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- Deep SQL and dbt capability, with strong modelling fundamentals (semantic or dimensional)
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- Solid Python skills for integration, analysis, and pipeline development
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- Cloud experience, with GCP strongly preferred
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- Familiarity with modern data stack tools such as Fivetran, clickstream ingestion, or other high-volume data sources
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- Experience with agentic workflows and LLM-driven automation (e.g., LangChain, tool-calling, code generation, monitoring, or data quality agents)
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- Confidence working with a wide range of stakeholders, translating business needs into clear technical requirements and dependable data models
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- Bonus: Airflow, Snowplow, or e-commerce data experience
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Why this role

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- Newly created position in a growing data team
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- Hybrid working - Mondays and Fridays from home
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- Exceptional culture and data leaders you'll genuinely enjoy working with
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- Modern stack, strong engineering practices, and meaningful business problems
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- Permanent role with long-term growth
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Role exclusive to NexVenture.

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If this role aligns with your experience and where you want to grow, I'd love to connect.

📌 Senior AI Analytics Engineer (New South Wales)
🏢 NexVenture
📍 New South Wales