Data Engineer

About StarRez StarRez is the global leader in student housing software, providing innovative solutions for on and off-campus housing management, resident wellness and experience, and revenue generation. Trusted by 1,400+ clients across 25+ countries, StarRez supports more than 4 million beds annually with its user-friendly, all-in-one platform, delivering seamless experiences for students and administrators. With offices in the United States, Australia, the UK, and India, StarRez blends the robust capabilities of a global organization with the personalized care and service of a trusted partner. The Role You have an uncanny knack for problem solving and you have a sharp product mindset. Our engineers are involved in all aspects of the software design process and create high-performing, scalable, and secure products. You’ll work alongside cross-functional teams to design right-size solutions that power a new market-leading Analytics platform. As a Data Engineer at StarRez, you will play a critical role in building and scaling the foundations of our Analytics & Data Platform. You’ll design and maintain reliable, secure, and scalable data pipelines and models that power a new generation of reporting, insights, and data-driven products across the StarRez ecosystem. This role sits at the intersection of data, product, and engineering. You will work closely with Data Analysts, Full-Stack Engineers, and Product teams to translate customer and business requirements into robust data solutions - enabling everything from standardised dashboards to advanced analytics and embedded intelligence. You are hands-on, pragmatic, and comfortable working in a fast-evolving environment where you’ll help shape both the technical platform and the operating model as we scale. What you’ll be doing • 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 Required Qualifications • 3+ years of hands-on experience as a Data Engineer, building and maintaining reliable, scalable data pipelines and platforms • 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 requirement