June 15, 2022
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Brisbane QLD 4000, Australia
June 15, 2022
Apply NowJob description
Role purpose:
The Data Engineer focuses on providing support for existing customers and processes, as well as participating in managing and delivering allocated Enterprise Data Management projects. This also covers lending capability and support to other EDM projects where required from a broad and deep technical and developing functional background.
EDM has developed a comprehensive data warehouse environment and this role will be pivotal to the ongoing support and development of the EDW, including the re-development of legacy artefacts in the new EDW.
Key responsibilities include:
Compliance of Procedures and Processes used within the Enterprise Data Management team
- Ensure all work undertaken on EDM projects is executed consistently and professionally according to established Allianz Partners EDM procedures and processes
Data definition, business rule documentation and education
- Produce and educate documentation, data definitions and business rules to build up the Allianz Partners knowledge base
Relationship management
- Build and maintain good working relationships with relevant business areas to continuously improve business intelligence services to the business
Process Improvement
- Show initiative in identifying and implementing areas of improvement within the current EDM processes
Training
- Contribute to the development of analysis and information management skills throughout the organisation and specifically within the Enterprise Data Management team
- Conduct training exercises to enable the transfer of knowledge from the EDM team back into the business
Business Intelligence Life Cycle
- Independently engage Allianz Worldwide Partners business users to determine business requirements
- Ensure all EDM requirements are properly documented according to Allianz Worldwide Partners standards
- Ensure Allianz Worldwide Partners naming standards are followed
- Ensure all EDM Projects follow a consistent framework, and contribute (lead) ongoing improvements to these frameworks
- Ensure data model design and development aligns with data warehousing and DataVault best practices
- Consult with business stakeholders to review broader implications of project and identify end user training, or further development opportunities where required
- Perform quality control on delivery artefacts for allocated projects
Prioritisation
- Manage and where appropriate escalate competing priorities to an early resolution on task interfaces and responsibilities, and escalate concerns when necessary
- Balances project / initiative delivery with production support requests
- Supports adequate prioritisation and management of expectations by business users
Business Interaction
- Assume a role in the education of Business Intelligence practises and support available to the business
Innovation
- Identify ways of improving information delivery, data capture, design and business processes through the provision of technical solutions.
- Identify data delivery options above and beyond what was originally specified by the business
- Drive and implement initiatives and process improvements to ensure the accuracy, consistency and quality of corporate data for Allianz Worldwide Partners
Analysis
- Perform financial analysis to support the corporate requirements, including trends, KPIS, ROIs, profitability and allocations
- Perform commercial analysis to support the business units, including profitability, costing and product optimisation
- Perform analysis to support operational requirements, including utilisation rates and productivity analysis
As the successful Data Engineer, who will show experience in:
- Experience within an Information Technology or Technical Reporting Department
- Desirable IT qualifications or similar
- Demonstrated advanced knowledge and experience in enterprise data warehousing and Business Intelligence tools, technologies and methodologies
- Experience working in an agile methodologies
Core skills
- Demonstrated problem solving skills
- Demonstrated analytical skills and experience producing analysis to suit varied business and financial requirements
- Demonstrated high level of attention to detail
- Strong interpersonal skills.
- Ability to work in a team environment and share knowledge and experiences.
- Proven ability to manage multiple activities and prioritise workload.
- Advanced written and oral communication skills.
- Demonstrated initiative to resolve complex technical issues and ability to mentor less senior team members where appropriate
Technical skills
- Demonstrated experience in relevant Business Intelligence applications (Databases (Oracle and SQL server), Data Vault methodology, MicroStrategy, Jenkins, and the Microsoft Business Intelligence suite)
- Demonstrated experience in SQL
- Demonstrated experience in Python
- A sound understanding and experience with the Microsoft Office suite of products (Word, PowerPoint, Visio) with advanced Microsoft Excel Skills
