Junior Analytics Engineer

Important Position Note: Junior / Entry-Level RoleThis is strictly a Junior/Entry-Level position (0–2 years of experience) designed for a recent graduate or early-career professional. If you are a mid-level or senior engineer, please note that this role and its corresponding compensation structure will not be a match for your experience level. We are looking for someone eager to learn, adapt, and grow foundations from the ground up!About the roleWe are looking for a motivated Junior Analytics Engineer to join our team in our Caulfield North office. Help us shape the future of nutrition and weight management technology by building a modern, AI-native data platform.This is the Analytics Engineer role reimagined for the AI age and it’s the perfect launchpad for your career. Because AI now writes much of our routine SQL, your learning curve will be supercharged. Instead of spending your days grinding out basic queries, you will be guided to focus on what genuinely moves the needle, understanding business context, learning to design the semantic layer, and helping build robust foundations that let the whole business ask questions in plain English and get trusted answers in seconds.The FoundationAs the global standard for nutrition and food data, fatsecret provides the foundational intelligence for the health industry. Founded in Melbourne, we’ve built a platform that now powers the health ecosystems of global leaders like Amazon, Samsung, and Fitbit.With a database of over 2.3 million verified food items and over 700 million API calls every month, our technology directly impacts the health journeys of millions across 58 countries. We are now expanding our Data Platform to turn this massive dataset into production-ready intelligence, and we want you to grow with us.What You’ll DoData Modelling & ELT: Learn to build, test, and maintain ELT pipelines in dbt and Snowflake, transforming messy, raw data into clean, well-modelled assets.Learn the Semantic Layer: Support the design of our semantic layer, learning how to translate business requirements into governed, trusted metrics that enable true self-service analytics.AI-Native Operations: Integrate AI into your day-to-day workflow, leveraging tools like Snowflake Cortex, Snowflake Intelligence (CoWork), and LLMs to scale your impact.Cross-Functional Partnership: Work closely with our engineering team and partner directly with Product, Marketing, AI Innovation, and Executive Leadership teams to learn the underlying business context and help define key metrics.Platform Foundations: Contribute to data governance, testing, and CI/CD workflows, learning how to ship data products fast without breaking things.Your ToolkitCore Experience: Recent graduate in Computer Science, Data Science, Information Systems, or a related quantitative field and 0–2 years of experience in an entry-level data analytics role.The Stack: Strong foundational knowledge of SQL and relational database concepts. Prior exposure to or hands-on experience with dbt and Snowflake (via university projects, internships, or self-directed learning) is a massive plus.Semantic & AI Fluency: Deep curiosity and active experimentation with AI-native workflows (e.g., leveraging LLMs like Claude/ChatGPT, or using Cursor for coding) and a keen interest in learning how to build governed semantic layers.Collaboration & Curiosity: Excellent communication skills with an appetite for learning the underlying business context. You are comfortable asking questions and eager to work alongside cross-functional teams.Local Experience: At least 1 year of professional or internship working experience within Australia is required.Bonus Points: Basic familiarity with Python, cloud concepts (like AWS S3), or exposure to data ingestion/orchestration workflows (Airbyte, Prefect).How to ApplyTo be considered, your application must include a tailored cover letter addressing:The Logistics: Acknowledge you can attend our Caulfield North office at least 2 days a week.The Hook: Share one specific fact about fatsecret that interests you.The Proof: Tell us about a data project, university assignment, or internship experience you are proud of where you worked with data modeling, SQL, or AI tools (include the goal, tech stack, and what you learned).The Status: Confirm that you hold a valid Australian working visa for at least the next 2 years.Let’s build the future of nutrition AI together.