Data Engineer

Here’s how you will make a difference in this role…

As a Data Engineer, you will be working with a team of data engineers 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.

At MMS clear expectations help our people Be the Difference.  Your key responsibilities in this role will include:

• Design, develop, test, and deploy data pipelines using Azure Data Factory, dbt, and Snowflake.
• Ensure data quality, reliability, and scalability across all platforms.
• Collaborate with data analysts, data scientists, and business stakeholders to understand requirements and deliver solutions.
• Develop Power BI and SSRS reports to support business insights.
• Contribute to data engineering best practices and standards within the team.
• Monitor and support production systems to ensure optimal performance.
• Expertise in query optimization, indexing strategies, and performance tuning for large-scale databases.

To be considered for this role you will possess the following:

• Bachelor's degree in computer science, Engineering, or related field, or equivalent work experience.
• Experience in Fintech, Banking is required.
• 5+ years of experience in data engineering, data warehousing, or data integration.
• Experience in API data integration and working with RESTful or SOAP APIs.
• Proficient in SQL including T-SQL scripting, and familiar with data modelling and transformation techniques.
• Great experience with Data testing.
• Hands-on experience with Azure Data Factory, dbt, Snowflake, or similar cloud-based data platforms.
• Certifications in Azure, Snowflake, SQL Server are highly desirable.
• Experience with SSIS/SSRS/Power BI is a plus.
• Strong communication, collaboration, and problem-solving skills.
• Passionate about data and eager to learn new technologies and tools.

Key Stakeholders

• Reports to the Data Engineering Practice Lead as part of the Architecture and Common Platforms team
• Works with Data Analysts and Data Scientists to ensure that data provided via key platforms is available when and where it is needed
• Works with Architecture and Common Platforms practices
• Works with other business stakeholders and IT teams as required

What we can offer you:

• Novated leasing benefits and discounts

• 12 weeks paid parental leave and access to our Parents Portal

• Comprehensive learning and development opportunities to support your career growth

• Sonder digital wellbeing platform, providing personalised support 24/7, plus annual flu vaccinations

• Default Income Protection Insurance reimbursed for members of the MMS Default Super Fund

• Exempt Employee Share Plan

Embracing 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 at [email protected]