Senior Data Engineer – Azure
- Full Time
- Brisbane, QLD - Nambour, QLD
Job title: Senior Data Engineer – Azure
Company: Michael Page
Job description: About Our ClientThis globally recognised organisation is an industry leader, founded on over a century of history. With over 8000 staff globally, they are well on their way to transforming the business into a leading Digital and Data led organisation by 2025.A large part of this is building upon and enhancing their newly created Global Azure Data Platform, for which this role will play a lead part in delivering.Job DescriptionWorking within the group’s core Data & Analytics function, this position will hold the following responsibilities:
- Delivering technical functionality developed against the Global Azure Data Platform.
- Creating and maintain optimal data pipeline architecture in Azure.
- Drive best practice development and design, working with the wider team to implement solutions that deliver quality, usable insights to multiple business users and functions.
- Assembling large, complex data sets that meet functional / non-functional business requirements.
- Identifying, designing, and implementing internal process improvements: automating manual processes, optimising data delivery, re-designing infrastructure for greater scalability, etc.
- Building the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Azure ‘big data’ technologies.
- Working with stakeholders including the Executive, Product and Data teams to assist with data-related technical issues and support their data infrastructure needs.
- Keeping internal data separated and secure across national boundaries through well architected sensitive data patterns and later enhancements to include regions in Azure.
- Creating data tools for analytics and data scientist team members that assist them in building and optimising our product into an innovative industry leader.
- Working with data and analytics experts to strive for greater functionality in data systems.
The Successful ApplicantKey skills and experience required:
- Extensive commercial experience as a Senior data engineer experience leading Digital Data transformation programmes, including experience in Azure cloud development.
- Expert experience with Azure Data Factory, Azure Databricks specifically
- Experience with other Microsoft cloud services including Azure Logic Apps, Azure Functions, Azure Storage, Azure Data Lake, Synapse.
- Involvement in or delivery of a successful multi regional digital data initiative.
- Advanced SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Experience building and optimising ‘big data’ data pipelines, architectures and data sets.
- Build processes supporting data transformation, data structures, metadata, dependency, and workload management.
- A successful history of manipulating, processing and extracting value from large, disconnected datasets.
- Familiarity with data modelling architectures (Kimball/Inmon) and its implementation
- Familiarity with metadata driven (contract) frameworks on cloud
- Experience with version and source control (Git) and Azure DevOps
- Experience in APIs and API Management
What’s on OfferOther great perks and benefits include:
- Competitive Salary – up to $160k base plus super
- Brisbane CBD office location.
- Collaborative, highly skilled team of Data Engineers and Senior Data Engineers.
- Excellent leadership and management structure, driving trust and transparency from the top down.
- Receive ongoing support and funding towards your learning and development, including coverage for relevant courses and certifications in data related fields.
- Industry leading parental leave policy.
- Excellent Health & Wellbeing program, volunteer leave, and great employee discounts including to private health insurance!
Expected salary: $150000 – 160000 per year
Location: Brisbane, QLD – Nambour, QLD
Job date: Wed, 15 May 2024 22:50:36 GMT
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