Azure -Snowflake Data Engineer

Join to apply for the Azure -Snowflake Data Engineer role at InfoCentric InfoCentric is one of the largest Australian‑owned specialist Data Consultancies, specialising in Cloud Data Platforms, Analytics and AI. At InfoCentric, we deliver leading solutions in Data Strategy and Advisory, Cloud Data Platforms, Artificial Intelligence, GenAI, and Business Analytics and Insights to Australia’s largest organisations. About The Role We’re looking for a highly skilled Mid to Senior Data Engineer to join our team and support a key project involving the migration of data from a legacy data platform to a Snowflake Data Warehouse . This role is deeply technical, with a strong emphasis on designing, building, and optimising modern data pipelines using Snowflake and Azure services. About You Several years of experience as a Data Engineer Strong hands‑on experience with Snowflake (warehousing, SQL, performance tuning, tasks, streams, etc.) Proficiency with Azure services such as Azure Data Factory, Azure Data Lake, Azure Functions, and Key Vault Experience with Azure Data Factory or dbt, or Logic Apps (at least one required) Solid understanding of ETL/ELT principles and data modelling Experience working with legacy data platforms or enterprise data extraction/integration tools (preferred) Strong SQL skills and experience working with large datasets Familiarity with CI/CD workflows for data pipelines (advantageous) Strong communication and problem‑solving skills In This Role, You Will Design and build scalable pipelines to support the migration from a legacy data platform to Snowflake Develop and optimise ETL/ELT processes using Azure Data Factory or dbt Work closely with cross‑functional teams to understand data requirements and develop robust data models Manage and optimise data transformations and processing following Snowflake best practices Implement monitoring, validation, and alerting to ensure data quality and reliability Troubleshoot pipeline issues to maintain high availability and performance Contribute to improving engineering standards, documentation, and workflows About Us At InfoCentric, our employees are the heart of our business. We have had many employees start their careers with us and grow into positions of responsibility. We are at the forefront of Data Platforms, Analytics and AI, driving innovation and delivering smart solutions for our clients. Realise Opportunity We’ll cover the cost of your training and certifications in the latest tools and technologies, including AWS, Azure, Snowflake, and AI You’ll work with industry leaders and gain experience in complex Data Platforms and AI projects from the start You’ll gain mentorship and collaboration from industry leaders Thrive Together & Embrace Diversity Receive genuine recognition for work and valued behaviour Regular social events to connect — previous events include private cinema screenings, bubble soccer, mini‑golf, bowling, and social drinks Be part of embracing and celebrating team diversity Work alongside and collaborate with experienced technical professionals in Data Platforms, AI and GenAI Think Big Picture Work flexibly to balance family, life, and career Create impact and positive change for the team and business Drive process improvement To find out more, check out our LinkedIn Life Page or visit our website. Applications Due to the high volume of applications we receive, you will be contacted if you are successful. We thank you for your interest in InfoCentric and for working with us. If you’re unsuccessful for this role, we will keep your details and reach out to you with any suitable roles in the future. Seniority level Mid‑Senior level Employment type Full‑time Job function Information Technology Industries Information Services Referrals increase your chances of interviewing at InfoCentric by 2x. Get notified about new Data Engineer jobs in Melbourne, Victoria, Australia . #J-18808-Ljbffr