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Senior Engineer - Data, IoT & AI

Remote: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
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Offer summary

Qualifications:

Deep experience in Azure Data Engineering, Expertise in Azure Data Platform technologies, Extensive experience with Microsoft BI technologies, Knowledge of CI/CD and automation tools, Eligible for security clearance preferred.

Key responsabilities:

  • Deliver engineering solutions on Azure Data Platforms
  • Plan and implement Azure Data services effectively
  • Support data warehousing processes and migration
  • Design solutions using Azure Data services
  • Assist business stakeholders in gathering specifications
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LAB3 Scaleup http://www.lab3.com.au/
201 - 500 Employees
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Job description

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!

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Experience

Level of experience: Senior (5-10 years)
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Spoken language(s):
English
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