Senior Engineer - Azure Data Engineering at LAB3 – NZ | Jobyssey

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

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