Millers Point, New South Wales, Australia, Australia
July 27, 2024
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Sydney, Australia
$150,000 + Super
Role Overview
In the past three years, this client has modernised its IT solution landscape, migrating key business systems to the cloud, centered on Microsoft Azure Architecture. Our strategy, Data as a Differentiator, focuses on leveraging data to provide strong trading terms, leading buying and marketing programs, and Member Services to give independent businesses a competitive edge.
The Data Engineer will provide technical guidance, develop, manage, and maintain Data Products, collaborating with Business stakeholders, the Commercial Insights and Analytics Team, and IT.
Operational
Key Responsibilities
Ensure the availability and performance of Data environment.
Manage back-up and recovery processes with Managed Service Providers.
Implement continuous improvement initiatives.
Delivery
Provide technical guidance for building and enhancing Data Products.
Support data harvesting and transport from internal and external sources.
Data Governance
Assist Data Owners in optimising data quality and completeness.
Collaborate on establishing and maintaining a Data Management framework.
Architecture
Develop and maintain Data Architecture.
Optimise Data Infrastructure with fit-for-purpose, cost-effective technology.
Maintain documentation of the data environment, solutions, and processes.
Information Risk And Security
Manage necessary controls to ensure data privacy and security.
Collaboration
Foster collaboration in building and operating Data environment.
Support business insights visualisation activities during peak periods.
Key Requirements
$150,000 + Super
Role Overview
In the past three years, this client has modernised its IT solution landscape, migrating key business systems to the cloud, centered on Microsoft Azure Architecture. Our strategy, Data as a Differentiator, focuses on leveraging data to provide strong trading terms, leading buying and marketing programs, and Member Services to give independent businesses a competitive edge.
The Data Engineer will provide technical guidance, develop, manage, and maintain Data Products, collaborating with Business stakeholders, the Commercial Insights and Analytics Team, and IT.
Operational
Key Responsibilities
Ensure the availability and performance of Data environment.
Manage back-up and recovery processes with Managed Service Providers.
Implement continuous improvement initiatives.
Delivery
Provide technical guidance for building and enhancing Data Products.
Support data harvesting and transport from internal and external sources.
Data Governance
Assist Data Owners in optimising data quality and completeness.
Collaborate on establishing and maintaining a Data Management framework.
Architecture
Develop and maintain Data Architecture.
Optimise Data Infrastructure with fit-for-purpose, cost-effective technology.
Maintain documentation of the data environment, solutions, and processes.
Information Risk And Security
Manage necessary controls to ensure data privacy and security.
Collaboration
Foster collaboration in building and operating Data environment.
Support business insights visualisation activities during peak periods.
Key Requirements
- Tertiary qualifications in Computer Science/IT or a related field.
- Certification in a Data-related competency.
- 5 years in Data roles (e.g., Data Engineer, Database Administrator).
- 2+ years using programming languages like Python, SCALA.
- Extensive knowledge of database query languages SQL, Oracle.
- Experience managing Datawarehouse/Lake environments.
- Experience in a Cloud environment (e.g., AWS, Azure).
- 2+ years extracting data using APIs and tools like Postman.
- 2+ years in Data Modelling.
- Strong stakeholder management and collaboration skills.
- Experience implementing Data Quality and Data Governance policies.
