Build and maintain scalable data pipelines to ingest, transform, and model data for analytics and reporting
Develop and optimise data models to support consistent dashboards and KPI definitions
Ensure data quality and reliability through testing, monitoring, and observability practices
Work with Data Analysts and Product teams to translate requirements into reusable datasets and pipelines
Collaborate with Engineering to support data integration, schema automation, and platform scalability
Integrate data from internal and external sources (APIs, third-party systems)
Improve performance, scalability, and cost efficiency of the data platform
Contribute to embedding analytics into the product (dashboards, reporting, data services)
Support advanced use cases such as forecasting, benchmarking, and data-driven insights

Experience designing and maintaining ETL/ELT pipelines (batch and/or streaming)
Experience with cloud data platforms (e.g., Snowflake, Azure Synapse, Microsoft Fabric or similar) including IAC
Familiarity with modern data tooling (e.g., dbt, Airflow, Fivetran, Azure Data Factory or equivalents)
Understanding of data integration patterns (APIs, ingestion pipelines, transformation layers) and Solid understanding of data modelling (star schema, dimensional modelling, data warehousing concepts)
Knowledge of data quality, testing, and observability practices (monitoring, validation, lineage)
Strong database fundamentals and SQL experience; comfortable designing safe schema changes considering performance optimisation, scalability, and cost management in data systems
Ability to work closely with Data Analysts and stakeholders to translate requirements into scalable data solutions
Strong communication skills with the ability to turn ambiguous requirements into structured data models and pipelines
Pragmatic approach to balancing speed, quality, and scalability
An inclination towards communication, inclusion, and visibility

A Culture That Lasts: Many of our team members have been with us for 20+ years—a testament to our people-first philosophy.
Global Impact, Local Ownership: Join a team that spans across Australia, the USA, the UK, and Canada, working on industry-leading solutions, while building the centre up from ground up.
Long-Term Vision: We’re not here for short-term gains. We invest in our people for the long haul, creating an environment where you can grow, lead, and thrive.
Innovation with Stability: Backed by Vista Equity Partners, we combine the agility of a scaling SaaS company with the stability of long-term industry leadership.
Z-Factor: We take pride in our culture of passion, care, and high performance. The Z-Factor defines how we support our teams, foster growth, and ensure that everyone at StarRez thrives.

Data Engineer

Key skills