Our client, a leading provider of comprehensive facilities maintenance and service solutions, is seeking a highly skilled Data Engineer to join their growing team. The company operates across a range of services, including heating, ventilation, air conditioning, refrigeration, electrical, plumbing, network operations, and electricity supply.
With continued expansion, they are focused on becoming a nationally recognised infrastructure services provider that delivers long-term value to shareholders.
This is an excellent opportunity for a skilled Data Engineer to contribute to a dynamic and expanding company while advancing your career in a collaborative and fast-paced environment.
Essential Skills: Good experience in Business Intelligence (BI) and Data Engineering.
Expertise in data migrations and ensuring efficient data pipeline operations.
Proficient with cloud technologies, including Microsoft Azure Synapse, Azure Data Factory, Data Lakes, and ideally Fabric.
Strong background in full Data Warehouse design and builds, with integration into cloud platforms.
Data modeling expertise, with hands-on experience in development-based Data Warehousing, ETL, and BI Engineering.
Skilled in developing data transformation routines using ETL tools or other techniques.
Experience migrating data from legacy platforms to cloud-based environments.
Proficient in designing and developing relational databases for data collection, ideally Oracle.
Involved in all aspects of the project lifecycle, including strategy, road-mapping, architecture, and implementation.
Familiar with data and reporting platform development, using technologies such as MS SQL Server BI Stack, DataStage, Teradata, Snowflake, and AWS/Azure-related data services.
Preferred Skills: Experience with Microsoft Fabric for automating ETL tasks.
Familiarity with SQL Server Integration Services (SSIS) for managing existing packages.
Experience with SQL Server Reporting Services (SSRS) for maintaining legacy reports.
Knowledge of SQL Server Analysis Services (SSAS) for managing simple data cubes.
How to Apply: Click APPLY and include your CV and cover letter. For further information, please contact Charolette Selvey at ******.
NOTE TO OVERSEAS: We are only accepting applications from candidates who have a valid NZ working right.
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