Data Engineer | Melbourne, Au

vor 4 Wochen


melbourne, Österreich Efinancialcareers Ltd. Vollzeit
Job Description Join the awarded "Best superannuation fund 2023".Hybrid Working EnvironmentCertified Best Place to Work 2023 About Us
Want to be part of a high-performing, award-winning team? Look no further than UniSuper. We're recognised for our performance excellence as we strive to deliver exceptional retirements for our members, and our growth means opportunity to grow with us. Come be a part of our inclusive, passionate team and make a difference with UniSuper.
UniSuper is committed to creating a diverse and inclusive workplace where everyone can thrive. We know that diversity of perspectives, backgrounds, interests, abilities and skills are essential in delivering great retirement outcomes to our members. We encourage you to apply for the roles that feel like the right next step in your career even if you don't have all the skills and experience listed.
The Opportunity
We expect each employee to live our values and behavioural expectations each day. This role will have end-to-end responsibility for:
As a Senior Data Engineer working on a modern data platform, you will play a crucial role in building and maintaining efficient data pipelines and data assets to support the reporting and analytic requirements.Implement data cleaning and transformation logic within Databricks using dbt core, Spark SQL, Python following the medallion architecture principles.Collaborate with data analysts, data scientists, data stewards and data modellers to understand business needs and translate them into technical efficient data models.Develop and maintain data models in gold layers using dbt Core to create consumable datasets for reporting and analysis.Collaborate with data analysts and business stakeholders to ensure the new platform meets their needs.Implement best practices for data security, governance, and scalability within the data pipelines. About You
We are looking for an individual who has worked in a fast-moving transformation environment and is comfortable working with a degree of ambiguity.
Experience as a Data Engineer or a similar role in a mature Data Warehouse environment.Proven commercial experience with cloud-based platforms, preferably Microsoft Azure and Databricks.Experience in building and maintaining data pipelines using tools like Azure Data Factory (ADF) and FiveTran.Proficient in data modelling concepts and experience with dbt core.Commercial experience working with Delta Lake on Databricks for reliable data storage and efficient data processing.Familiar with medallion architecture for data warehousing.
If you feel you have the experience and skills required for this role, please apply
Think Great. Create Great.
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