Full-Time Data Engineering Manager
Keypath Education is hiring a remote Full-Time Data Engineering Manager. The career level for this job opening is Manager and is accepting Melbourne, Australia based applicants remotely. Read complete job description before applying.
Keypath Education
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Data Engineering Manager will work closely with leaders across marketing, recruitment, student services, and finance to support and implement high-quality, data-driven decisions and technologies that optimize the student experience.
Responsibilities:
- Use advanced data modeling and analysis techniques to actively monitor, identify, analyze, and discover insights guiding strategic decisions and uncover business and student experience optimization opportunities.
- Regularly analyze data and analytics project outcomes, interpreting and reporting results to stakeholders.
- Manage the business's data warehouse, system-to-system integration processes, analysis services models, operational reporting platform, and related technologies.
- Define and deliver a data and analytics strategy and roadmap supporting strategic initiatives, providing analysis services and developing key operational data services (predictive models, visualizations, dashboards, automated reporting).
- Recruit, mentor, and develop high-performing analytics team members.
- Collaborate with other IT teams to ensure adherence to engineering, security, productivity, and privacy standards.
- Oversee quality control processes to ensure data and integration services meet quality standards.
- Manage multiple initiatives and projects simultaneously.
Education: Minimum BA degree, preferably in a Computer Science, Technology, Mathematics, or Statistics related discipline.
Experience: 7+ years data analytics experience, launching successful data and analytics initiatives; influencing successful outcomes for customers and business stakeholders; 5+ years developing and implementing predictive/analytical models, visualizations, dashboards, data automation, and reporting systems; 5+ years leading data analytics teams and projects.
Technical Skills: Deep knowledge of Microsoft database, data analytics, and related engineering technologies (SQL, TSQL, Azure, Data Factory, Fabric, ML); experience with data visualization tools (Power BI, Synapse, Analysis Services, or Fabric); experience with Microsoft Azure engineering patterns and resources (Azure Functions, Logic Apps, Storage Accounts, Web Apps); experience with the Microsoft Power Platform (Power BI, Power Automate, Flows); experience with Microsoft Azure security and provisioning tools (Key Vault, Managed Identity, IAM); proficiency in Python, Java, or C#; experience with predictive analytics platforms/software/languages/libraries (Azure ML, SAS, Python, R).
Additional Skills: Logical thinking, clear communication; ability to work individually and in groups; ownership of assignments; adaptability; effective communication with Directors and coworkers; meeting deadlines; willingness to go the extra mile; follow-through and personal drive; contribution to an open and fun work environment.