Making a difference isn''t just our purpose, it''s what motivates our people every day. For us, work is not about ticking a box. It''s about knowing that it matters. We make a meaningful difference every day by making it easier for our customers to focus on what matters in their lives.Here''s how you will make a difference in this roleReporting to the Data Engineering Practice Lead, as a Data Engineer you will be working with a team to deliver high-quality mission-critical data platforms for our stakeholders. You will use your expertise in Azure Data Factory, dbt, SQL Server and Snowflake to design, build, and maintain scalable and reliable data pipelines, data models, and data warehouses. You will be a key part of the full delivery lifecycle, including planning, testing, deployment, and support.This role will sit within our Architecture and Common Platforms team helping to ensure that the data provided via key platforms is available when and where it is needed, as well as working with other business stakeholders and IT teams as required.At MMS clear expectations help our people Be the Difference. Your key responsibilities in this role will include:Design, develop, test, and support data pipelines using Azure Data Factory, dbt, and Snowflake.Ensure data quality, reliability, and scalability across data platforms.Support data integration and reporting, enabling analysts and business teams to access trusted data.Monitor and support production data platforms, ensuring stable and performant operation.Apply query optimisation and performance tuning techniques for large-scale databases.Collaborate with data analysts, data scientists, and business stakeholders to deliver data solutions.Report to the Data Engineering Practice Lead and contribute to data engineering standards and best practices.You will bring:Bachelor''s degree in Computer Science, Engineering, or equivalent practical experience.5+ years'' experience in data engineering, data warehousing, or data integration.Experience working in Fintech or Banking environments.Strong hands-on experience with Azure Data Factory, dbt, and Snowflake (or equivalent).Strong SQL / T-SQL skills, including performance tuning and optimisation.Experience integrating data via APIs (REST and/or SOAP).Strong communication, collaboration, and problem-solving skills.What we can offer you:Novated leasing benefits and discounts12 weeks paid parental leave and access to our Parents PortalComprehensive learning and development opportunities to support your career growthSonder digital wellbeing platform, providing personalised support 24/7, plus annual flu vaccinationsDefault Income Protection Insurance reimbursed for members of the MMS Default Super FundExempt Employee Share PlanEmbracing our value of Everyone Matters we hold a collective commitment to foster an environment where all differences are valued and respected.We encourage individuals from all backgrounds including Aboriginal and Torres Strait Islander peoples, those caring for someone or living with a disability, LGBTQIA+ and culturally diverse applicants to apply.We embrace hybrid working and welcome conversations about flexibility.Please note all successful candidates will undergo background checks (including criminal history and ASIC checks) and an NDIS Workers Screening Check if appropriate. All information provided will be treated confidentially.We acknowledge Aboriginal and Torres Strait Islander peoples as the Traditional Custodians of the lands where we live, learn and work.If you identify as a person living with disability and require adjustments to our recruitment process, please contact us
Job Title
Data Engineer