
Data Engineer, AI and Data
EY
full-time
Posted on:
Location Type: Office
Location: Auckland • New Zealand
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Job Level
About the role
- As a Data Engineer at either the Senior Consultant or Manager rank, you will design, build and implement scalable data solutions that drive significant business value.
- Collaborating closely with other data and analytics professionals, program teams, management, and stakeholders, you will play a pivotal role in the analytics landscape.
- Your experience will enable you to comprehend and dissect business requirements, translating them into precise technical specifications.
- You will serve as a vital link between business stakeholders and technical teams, ensuring that the development process aligns seamlessly with the intended design and objectives.
Requirements
- Be able to clearly explain strengths and weaknessesof data engineering optionsto both technical and senior business stakeholders.
- Design, build andoperatescalable on-premises or cloud dataengineeringarchitecturesolutions thatfacilitatedata storage, integration, management,validationand security, supporting the entire data asset lifecycle.
- Strong stakeholderengagement and must be able to create weekly status reports and manage project budget.
- As required, coordinate the work of junior colleagues or team membersto ensurestructure and focus on achieving team goals.
- PerformModellingof datadiagrams inER Studiofor data engineeringbuild asdesign (Logical, Physical)
- Must be able to use the following technologieswith more than 1 year experienceinDatabricksData Platform, Azure ADF,Python,SQL,AzureDevopsand reporting inPower BI
- Must be able to work with ingestion patterns and able to update patterns where required by architects
Benefits
- Acomprehensivebenefitspackage :From a yearly wellness incentive,to access toadditional8 weeks of flex leave per year, and family-friendly policies, including 26 weeks of gender-neutral paid parental leave, we cater to your diverse needs to help you thrive both personally and professionally.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data engineeringdata architecturedata storagedata integrationdata managementdata validationdata securitydata modelingPythonSQL
Soft Skills
stakeholder engagementcommunicationproject managementteam coordinationanalytical thinking