AI Summary
Lead end-to-end planning, provisioning, and implementation of Azure Data services. Design and deliver state-of-the-art solutions using Azure Data Factory, Synapse, Data Warehousing, and Fabric. Manage complex Microsoft PaaS SQL Server databases and high availability environments.
Key Highlights
Azure Data Engineering with Fabric experience preferred
Remote-first/hybrid work from Australia or NZ
Lead hands-on delivery of Azure Data Platform solutions
Key Responsibilities
Manage, support, and deliver engineering of state-of-the-art technical solutions on Azure Data Platforms
Lead 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
Support data warehousing including manipulation, migration & integration
Provision, modify, support, and manage complex Microsoft PaaS SQL Server databases as well as high availability environments
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
Technical Skills Required
Benefits & Perks
Hybrid workplace flexibility
Remote work from anywhere in Australia or NZ
Nice to Have
Fabric experience
SSIS, SSRS, SSAS
CosmosDB, Event Hub, Scorecards, Reporting & Dashboards
Service Oriented Architectures (SOA)
T-SQL, Hadoop, Spark, Kafka, Python, Scala, Impala, R, Power BI
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.
We are on the hunt for a Senior Data Engineer with experience in Azure Data Engineering & ideally Fabric. Contract or permanent- preference given to those immediately available or on short notice. Remote first/ hybrid work from anywhere in Australia or NZ – you must have an existing right to work in Australia or NZ.
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.
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- 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
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- Be part of a team that leverages modern technologies to solve real problems and provides top levels of customer satisfaction
- Work with a Microsoft Partner of the Year award winner with multiple specialisations
- Be supported by experienced peers and leaders that value technical expertise and encourage innovation, with clear career pathways and ongoing learning
- Enjoy a supportive workplace that promotes inclusion, flexibility, diversity, and celebrates differences.
- Take advantage of the flexibility of a hybrid workplace and enjoy the flexibility to balance your life
- Thrive in a community with strong values #BeTrue #TeamUp #StandOut #ThinkAhead #FearLessAchieveMore
If you have questions mail me on [email protected] or call 0212379092. Otherwise apply now!
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