Senior Azure Data Engineer

  • Company:
  • Location:
  • Salary:
    negotiable / month
  • Job type:
  • Posted:
    3 hours ago
  • Category:

The details:

  • 12-month FTC for an iconic not-for-profit with strong capital investment
  • Design an Azure based cloud data platform
  • Work from home / workplace flexibility options encouraged
  • Sick of your current role or just finishing up your contract and looking for your next exciting challenge? Looking for a highly collaborative and authentic leader that values staff and their development? Passionate about data warehousing and keen to work on an exciting project to build a new modern cloud data storage solution using Azure? Keen to work for an organisation that helps the community and makes a difference to those less fortunate? Come and join our client!

    About the Company

    Based in Macquarie Park, our client is looking for a high energy Senior Azure Data Engineer to join their team on a 12-month Fixed-Term Contract. From humble beginnings, the business has grown into one of the nation’s most respected organisations, employing over 4000 employees across 40+ sites. The company is on an exciting growth trajectory and have experienced double digit growth in the past five years. The culture is person-centred and enabling. Due to this ongoing growth and significant capital investment into a new strategic plan underpinned by IT transformation and enablement, this brand-new role has been created. Led by an entrepreneurial CEO and executive, the company has significant capital strength and value the strategic importance of IT as a competitive enabler to meet changing population demographics and capitalise on opportunities within this rapidly growing industry sector.

    About the Role/Duties

    Reporting to the BI Manager, key responsibilities of this role will include:

  • Assist with design and implementation of a modern cloud-based Data Storage solution, utilising both Data lake and Azure DB as required;
  • Create, monitor and manage pipelines using Azure Data Factory;
  • Develop import templates for data acquisition;
  • Migrate current data (on-prem) to appropriate cloud storage, along with a lift and shift approach for current SSIS data projects;
  • Create data sets for self-service use by business users;
  • Create functional design specifications, Azure reference architectures, and assist with other project deliverables as needed;
  • Work closely with business and IT teams to gather input to support ongoing business needs;
  • Manage changes to production and non-production environments; and
  • Provide technical expertise to the Data Analytics Team related to both Development and storage solutions implemented.
  • Skills & Experience

    Within the context of the role described above, the ideal applicant will be someone who has the following key experience/capabilities:

  • Demonstrated experience with Azure Cloud data warehousing and storage solutions including Azure Data Factory, Azure Data Bricks and Azure SQL DB and Data Lake;
  • Strong experience with database design and data modelling, and experience acquiring data from a variety of sources;
  • Proven experience rearchitecting data warehouses to improve data availability and self-service capability will be highly regarded;
  • Exposure to Azure DevOps would be highly regarded;
  • Personality wise, you will be articulate, positive, hungry, optimistic and friendly. You will be patient and pragmatic with end users and operations staff who are non-technical;
  • You will demonstrate high levels of initiative and a natural sense of urgency to deliver outstanding customer service; and
  • Above all else, you will be fun, humble and respectful.
  • How to Apply

    Sound cool? Please apply! If you require more information, please call Steven Fulop at u&u on 0418 994 446 , quoting reference number 20017 or alternatively, to submit an application, please click below. We look forward to receiving your application and assisting you with your job search.

    Please submit your resume in Word format only.