Data Engineering Practice Lead
vor 3 Wochen
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The McMillan Shakespeare Group (MMS) is a trusted provider of salary packaging, novated leasing, disability plan management, and support coordination, asset management, and related financial products and services. From our origins in 1988 when we created Australia’s salary packaging industry to today, MMS has a proud history of innovation and exceptional service. Through our subsidiaries, we offer a breadth of services and expertise designed to responsibly deliver superior long-term value to our clients and customers, which include Federal and State governments and some of the largest public and private sector, health, and charitable organizations.
Your Role:In your Data Engineering Practice Lead role, you will be responsible for leading 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, and Snowflake to design, build, and maintain scalable and reliable data pipelines, data models, and data warehouses. You will also oversee the full delivery lifecycle, including planning, testing, deployment, and support. Working closely with other practice leads, project managers, and stakeholders is essential to ensure that the data solutions meet the business requirements and adhere to best practices and standards.
Key Responsibilities:- Lead the data engineering practice and mentor the data engineering team.
- Design and develop data solutions using Azure Data Factory, dbt, and Snowflake.
- Implement data quality, data governance, and data security measures.
- Optimize the performance, scalability, and reliability of the data solutions.
- Manage the full delivery lifecycle, including planning, testing, deployment, and support.
- Maintain Asset Lifecycle Management practices.
- Collaborate with other practice leads, project managers, and stakeholders to ensure alignment and integration of the data solutions.
- Stay updated with the latest trends and technologies in the data engineering field.
Reports to: Head of Architecture and Common Platforms
Works with:
- Head of Data to ensure data availability
- IT practice leads for best practice in technical areas - Business stakeholders and IT leaders as required You Will Bring:
Bachelor’s degree in computer 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 modeling, data warehousing, and data quality
Experience in leading and managing data engineering teams and projects
Excellent communication, 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 Income 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 collective commitment 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.
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