Senior Engineer - Data, IoT & AI

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. Looking for a Senior Engineer with deep experience in Azure Data Engineering & data governance to be part of our professional services team in the Data, AI & IoT practice.

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 ideal candidate:

• Significant design and & delivery experience in Azure Data Engineering solutions , ideally including AI, IoT & Open Source ML
• 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
• 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 on broader Azure Resources - Azure App Services, App Insights, Azure Logging, Azure Key Vault, Azure Virtual Machines which host Active-Directory Services, Azure Blob Storage, Azure Network Security Group and Authentication, Azure Storage Account for NSG Flow Logs, Azure Networking: VNets, Subnet, NSGs
• Knowledge of CI/CD environment with tools such as 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
• Ideally security cleared (Baseline, NV1, NV2) or Australian or New Zealand citizens eligible for clearance but anyone with the right to work in NZ or Australia will be considered.
• You should be available immediately (in October ideally) or be ready for a start in 2025

What’s in it for you?

• Help organisations understand how they can modernise and optimise efficiencies utilising the latest cloud technologies to client #thinkahead
• Be part of a company that is leading the way in technology & partnering with high profile clients #winwithus
• Work with a 13-time Gold, 6-time Microsoft Advanced Specialisation & 5 time Microsoft Solutions Partner #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
• We work flexibly and 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
• Certified Great Place to Work for Australia and New Zealand #loveyour work
• Work remotely based anywhere in New Zealand or Australia.

If you have questions mail me on gayatri.soni@lab3nz.co.nz or call 0212379092. Otherwise apply now! #LI-GS1