Senior Engineer - Azure Data Engineering

Lab3 is one of the largest Azure engineering practices in the Australasia region with a focus on Cloud & DevOps, Data, IoT & AI, Modern Workplace, Modern Apps & Integration, Security, and Network services.

We are on the hunt for a Senior Data Engineer with experience in Azure Data Engineering & ideally Fabric for a 3-month contract (extendable

You must be in NZ and have resided here for 5 years+ to be considered for the role (to enable government security clearance).

The role:

• Manage, support, and deliver the engineering of state-of-the-art technical solutions on Azure Data Platforms


• Lead the hands-on end-to-end planning, provisioning, and implementation of Azure Data services 

• Provide infrastructure and automation expertise to uplift, deliver and deploy Data Warehousing, Data Functions and end-to-end data analytics solutions.  

• Design solutions using Azure Data Factory, Azure Synapse, Azure Data Warehousing, Data Lakes, and App Insights.  

• Work with business stakeholders to help gather specifications and deliver effective solutions based on an understanding of data domains and technology.


• Support data warehousing including manipulation, migration & integration.

• Provision, modify, support, and manage complex Microsoft PaaS SQL Server databases as well as high availability environments that include SQL clusters, Always on and Availability Groups. Migrate on-prem services into Azure cloud platforms.  

• Log using Log Analytics Workspace & configuration of diagnostic settings. 

• Support in-house and external engineers with data platform configuration used for data ingestion, manipulation, extraction, and cleansing. 

The right candidate:

• Significant design and & delivery experience in Azure Data Engineering, ideally including Fabric


• Ability to understand business requirements and design effective solutions using deep Azure data engineering skills.


• Expertise in the Azure Data Platform - Microsoft frameworks (Cloud-based analytics), Data Catalog, Data Lineage, ML


• Extensive experience in Azure Data, Azure Data Factory, Azure Data Warehousing, Azure Synapse, Azure Databricks, data modelling , Azure SQL, Big Data, Data Lakes and App Insights and Fabric.


• Extensive experience in conventional Microsoft BI technologies such as SSIS | SSRS | SSAS


• Expertise in database concepts: SQL Server, Azure SQL DB/MI and Application Services configuration  


• Azure DevOps & Automation, DevOps Integration, DataOps experience


• Knowledge of broader Azure Resources, CI/CD,Azure DevOps, IaC, ETL, CosmosDB, Event Hub, Scorecards, Reporting & Dashboards, Service Oriented Architectures (SOA) and programming 


• T-SQL, Hadoop, Spark, Kafka, Python, Scala, Impala, R, Power BI - desirable 


• New Zealand citizen or permanent resident with 5+ years in NZ, thereby eligible for government security clearance


• You should be available within 2 weeks for a 3-month contract on a daily rate


• Based anywhere in New Zealand

What's in it for you?

• Become part of Australasia's largest Azure engineering practice where you can sharpen your expertise and contribute to the latest innovations in tech and services. #thinkahead


• Be part of a company that is leading the way in specialised areas and partners on high profile client projects - we are popping new logos every day! #winwithus


• Work with a 13-time Gold, 6-time Microsoft Advanced Specialisation & 5 time Microsoft Solutions Partner (including Modern Work). You only get to this level with the industry's leading tech professionals - we are proud to have some of the best. #teamup


• Thrive in a team that is always learning, always innovating and making waves on a global scale. #standout


• Be part of a supportive working environment that values inclusion, flexibility, diversity and differences. #betrue


• Work flexibly – we recognise the importance of your overall wellbeing! #Flexit!


• Ultimately, we will help you to fear less, achieve more in a fast paced, innovative and cool environment - are you ready to accept the challenge? #fearlessachievemore

If you have questions mail me on [email protected] or call 0212379092. Otherwise apply now!

#LI-GS1