Senior AI Analytics Engineer

NexVenture; Sydney; Hybrid; AUD 140,000 - 210,000; Full time

Benefits offered by this job

Hybrid working

Job summary

NexVenture is partnering with a 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.

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.

Qualifications

• 4-5 years of analytics-leaning data engineering experience.
• Deep SQL and dbt capability with strong modelling fundamentals.
• Solid Python skills for integration, analysis, and pipeline development.
• Experience with agentic workflows and LLM-driven automation (e.g., LangChain, tool-calling, code generation, monitoring).
• Familiarity with modern data stack tools such as Fivetran and high-volume data sources.
• Ability to translate business needs into clear technical requirements.
• Bonus: Airflow, Snowplow, or e-commerce data experience.

Responsibilities

• Build and maintain high-quality SQL and dbt models for clarity and decision-making.
• Develop reliable, scalable pipelines using Python and orchestration tools.
• Partner with technical and non-technical stakeholders to translate data needs into reusable models.
• Lift data quality, documentation, testing, and modelling standards across the stack.
• Work with real-time and high-volume data sources across analytics, marketing, logistics and product.
• Design and refine agent-based and LLM-powered workflows for automation, code generation, monitoring, and data quality tooling.

Skills

SQL & dbt

Python

GCP Cloud

Modern data stack

LangChain & LLM

Stakeholder communication

Airflow / Snowplow

Tools

Fivetran

LangChain

Airflow

Snowplow

Job description

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

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.

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.

This team has a fantastic culture, supportive leadership, and a thoughtful approach to how they build and use data. It’s a great 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.

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.

About the opportunity

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.

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

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.

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.

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.

What you bring

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

Why this role

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

Role exclusive to NexVenture.

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