Mable is an online platform connecting Australians looking for disability and aged care support to independent support workers. Since 2014, we’ve been helping our community live their kind of independence, and today we’re one of Australia's largest and fastest growing healthtech platforms. We have been recognised in AFR’s Fast 100 list, Deloitte’s Tech Fast 50, and won the Australian Growth & Australian Technology Growth Company of the Year Award in 2020 So don’t miss your opportunity to join a thriving scale-up and deliver change to Australia’s care and support sector. As a Data Engineer - at Mable you will collaborate with Business System and Product Engineering teams to understand changes to existing data structures as well as new data sources. You will then ingest, transform and structure data following data warehousing best practices in order to maintain an accurate, scalable and consumable source of truth in our Data Lakehouse, Databricks. You will be at the heart of a fast-paced, high growth environment where you will help drive real-world impact. As a Data Engineer at Mable, your contribution to ensuring we have a single accurate, well structured source of truth is fundamental to enabling our Data Analysts and Scientists to build reporting, machine learning models and extract actionable insights from data to drive strategic business decisions. What will I be doing? Work collaboratively with our Business system and Product engineering teams to understand upcoming changes to their systems, and flow on impact to our data models in Databricks. Work collaboratively with our broader Data Science & Analytics team to understand their data needs. Build, enhance and monitor data ingestion from both internal and external sources. Cleanse, transform and model data; combining datasets from multiple systems for downstream consumption and visualisation. Data governance, including both enriching the metadata of our data assets, data quality and data access. What are we looking for? 1-2 years of Data Engineering/Warehousing/Modelling experience working in an agile environment. Experience using SQL to clean, transform and build data models for use by Data Analysts and Data Scientists. Verbal and written communication skills with technical stakeholders. Experience developing, deploying and monitoring cloud based data ingestion solutions. Understanding of Data Modelling concepts including Dimensional Modelling and Slow Changing Dimensions. Comfort with ambiguity, a fast-paced environment, and rapid business growth. What else would make a difference? Advanced education in a relevant field such as computer science, information technology or analytics Experience working with Databricks and AWS Experience in Python; in particular PySpark and Spark Streaming Experience using GIT and understanding of CICD concepts Our Values We’re Switched On We know our customers because we listen and want to learn. We engage within the community and the sector and always act on insights. We’re Bold We’re ambitious and embrace creativity to solve challenges. We’re here to reshape the industry and back big ideas. We’re One We channel our passion into a positive environment. We welcome diversity and collaborate to make the most of our different skills and ways of thinking. We’re Impactful We work hard to deliver change. We innovate and move fast to make a difference in the sector and people’s lives. Our Benefits Power your career ⚡️ Learn from industry experts, experienced leaders, and on-the-job opportunities. Work away Get a creative boost working overseas for 4 weeks in a rolling 12-month period. Access parental leave Get 14 weeks of paid leave for primary carers and 6 weeks of paid leave for secondary carers plus superannuation. Work with flexibility We’re a hybrid workplace. Collaborate at home or in the office - whatever works for you and your team. Take a floating public holiday Acknowledge a significant day your way with family and friends. Be rewarded Celebrate wins and recognise great performance with an easy and accessible Reward and Recognition program. Get paid to take a break ️ Get one extra paid leave day per quarter for what makes you happy. Inclusion at Mable Mable is an equal opportunity employer. We find excellence in diversity and are committed to creating an inclusive environment for all employees and candidates. We take pride in highlighting our dedication to our policies, fostering flexible work arrangements and championing inclusive practices for women in tech. We are a 2023 Circle Back Initiative Employer – we commit to respond to every applicant. Where to find us online Careers Page - https://bit.ly/3Mz8Ym1 Glassdoor - https://bit.ly/3z0K328 YouTube - https://bit.ly/34L7DlP Instagram - https://bit.ly/3pgAOXk Facebook - https://bit.ly/3ic6LhQ LinkedIn - https://bit.ly/3ie6Q4U