Data Engineer

For 30 years, ISPT has invested in property, developing and creating vibrant, meaningful places for people to work, shop and enjoy. We are committed to supporting Australians in retirement and creating sustainable communities. Our purpose is to develop and grow together to create a better future for all. At ISPT, we have over $20B in funds under management across 138 assets in office, retail, industrial, residential and emerging sectors education and health & life sciences. We aspire to be the best property solutions partner, delivering strong, sustainable returns for our investors. Our culture and people are our greatest assets, and we recently launched our refreshed strategy that focuses on building on our strengths while transforming for the future. We now have an exciting opportunity for a Data Engineer to join our Strategic Research team within the Property function based in Melbourne. About the opportunity Reporting into the Senior Manager, The Data Engineer is accountable for developing and maintaining the proprietary data analytics engine and platform, the Market Intelligence Data & Analytics System (MIDAS), including: · Cloud data engineering on Microsoft Azure (or AWS / GCP as required), developing and maintaining ETL / ELT pipelines, schedules, and triggers; · Designing solutions to ingest and curate data with Databricks notebooks and/or Azure Data Factory pipelines, utilising agreed data architecture and master data management principles; · Continuously improving environment standards and hygiene, including version control or DevOps practises; and · Assisting with dashboard development and maintenance in Tableau (Desktop and Cloud). This exciting role seeks to promote objectivity in investment decision-making by providing data-driven insights to business users with varying levels of data and analytical expertise. About you With experience in a cloud data engineering role, this position will give you the opportunity to showcase your experience in designing, implementing, and automating data pipeline/ETL solutions in a cloud environment (Azure). Ideally you will have Azure Data Engineer Associate (DP-203) or Databricks Data Engineer Associate certification and proficiency in Python, SQL/T-SQL, Pyspark and Tableau. · Demonstrated experience working with Python, SQL and pipeline orchestration (such as Azure Data Factory) in a cloud environment is required. Prior experience with Databricks notebooks, Pyspark, Spark SQL, and Delta Lake / Delta Live Tables is preferred. · Strong coding, problem solving, troubleshooting and analysis skills as well as technical knowledge of data processing and management are required. · Demonstrated experience working with time series data is required. Experience in real estate, finance, economics is preferred. · Demonstrated knowledge of data modelling methods, master and reference data design, and controls are preferred. · Strong interpersonal skills are preferred, with the ability to collaborate effectively with people within the team and across the business to achieve objectives. We offer We understand that work is only one part of your life, and because of this we have benefits to allow you to focus on what is important to you. We support our colleagues to achieve work life balance through flexible working arrangements such as hybrid working and competitive financial and lifestyle benefits. These include a generous incentive program, 12% superannuation, a company-wide salary continuance policy, up to 20 weeks of paid parental leave, plus a leave day every month! We cultivate a workplace that is welcoming and respectful along with embracing the diversity each team member brings. We have a continued commitment to an inclusive workplace where everyone feels valued and respected for who they are, so if you require any adjustments to the recruitment process to equitably participate, please let us know.