Data Engineer

Responsibilities Design, develop, test, and deploy data pipelines using Azure Data Factory, dbt, and Snowflake. Ensure data quality, reliability, and scalability across our data platforms. Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver solutions. Provide technical guidance and support to other data engineers and data practitioners. Report to the Data Engineering Practice Lead and contribute to the data engineering best practices and standards. You will bring: Bachelor's degree inputer science, Engineering, or related field or equivalent work experience At least 5 years of experience in data engineering, preferably in a consulting or professional services environment. Strong knowledge and experience in Azure Data Factory, dbt, and Snowflake. Proficient in SQL Experience in data modelling, data warehousing, and data quality. Experience in leading and managing data engineering teams and projects. Excellentmunication, presentation, and problem-solving skills. Ability to work independently and collaboratively in a fast-paced and dynamic environment. What we can offer you: Our strong people-first culture Flexible/hybrid working to enhance your work/life balance Novated lease benefits and discounts 12 weeks Paid Parental leave and access to our Parents Portal Exempt Employee Share Plan Paid Ie Protection Insurance under MMSG default Super plan Access to a broad range of learning and development programs Career break and volunteering leave Access to Employee Assistance Program and annual Flu vaccination Lifestyle Rewards program As an employer who embraces Diversity, Equity & Inclusion, we hold a collectivemitment to foster an environment where all differences are valued and respected. We encourage Aboriginal and Torres Strait Islander people, individuals from all backgrounds, including those caring for and living with disability to apply. Please note all successful candidates will be required to undergo background checks. Job ID R6507