Analytics Engineer
Posted on:
September 3, 2025
Job description
About the role (What you’ll be doing)
As an Analytics Engineer at Eucalyptus, you’ll help build and maintain the data models, workflows, and infrastructure that power decision-making across the organisation. Sitting between data engineering and analytics, you’ll be responsible for ensuring raw data is transformed into clean, reliable, and reusable assets that enable analysts, data scientists, and business stakeholders to generate insights with confidence.
- Develop and maintain data models in dbt, ensuring transformations are efficient, well-documented, and reusable.
- Work with orchestration tools (Dagster) to manage data workflows, scheduling, and dependencies.
- Apply data warehousing best practices, including partitioning, RBAC, RLS, and incremental build strategies, to optimise performance and scalability.
- Collaborate with analysts and data scientists to understand business requirements and deliver clean, trusted datasets.
- Contribute to warehouse governance by implementing standards for testing, documentation, and data quality.
- Explore emerging approaches, including semantic layers, to improve how the business accesses and understands data.
Responsibilities
About you (Who you are)
You’re an experienced analytics engineer who thrives at the intersection of engineering and analytics. You enjoy turning complex raw data into reliable, well-structured datasets that can be trusted and reused at scale. You’re comfortable owning workflows end-to-end and collaborating across teams to ensure data assets meet both technical and business needs.
- Experience: 2–5 years in an analytics engineering or related role, ideally within modern cloud data platforms.
- Technical foundation: Familiar with orchestration tools such as Dagster or Airflow, with a strong understanding of data warehousing concepts including partitioning, RBAC, and incremental builds.
- Tooling: Proficient in dbt for data modelling and transformations; familiarity with semantic layers is a strong nice-to-have.
- Collaboration: Able to work closely with analysts, engineers, and stakeholders to understand requirements and deliver usable, documented data models.
- Mindset: Detail-oriented with a focus on data quality, reproducibility, and maintainability, while always looking for opportunities to simplify and automate.
Job requirements
Why you should join Euc
- Our teams are incredibly passionate - Our talent bar is high and our work ethic is strong. You’ll get to stretch yourself everyday and work amongst people who care deeply about our patients. You’ll be given autonomy to tackle interesting problems and receive regular feedback from a supportive team
- We move at incredible speed - You’ll work with team mates who build in the open by sharing their work freely, this helps us learn and iterate quickly so we can deliver high quality outcomes faster than our competitors. You’ll **spend a lot of time outside of your comfort zone learning and iterating frequently, we wouldn’t have it any other way
- We will invest in your career - You’ll get access to an annual professional development budget, mentors and buddies to ensure that you have the support you need to level up. You can expect regular performance and pay reviews as your career grows. We're championing the next generation of talent – Euc has been recognised in Hatch's Hotlist as a Australia's top employer, as rated by Gen Z's.
- We are all owners - You’ll be given equity to ensure that you are able to benefit in the upside of your contribution in helping Euc grow. Your ideas will be valued regardless of your role, you will have ownership over the projects you work on which will feel both terrifying but extremely fulfilling
- We play as hard as we work - You’ll experience our frequently catered wellness themed talks, exercise classes, whoops to track your wellbeing, free barista coffees, funded social clubs and quarterly rooftop parties…we know how to let our hair down!
- We’ll have your back when you need us the most - You’ll be able to lean on a range of leave offerings to support you when needed, this includes: personal health and professional development leave, a generous parental leave that offers 20 weeks paid leave for a primary carer, additional miscarriage leave (see more on Kin Fertility’s #WeNeedMoreLeave campaign), as well as our Employee Assistance Programme
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