Impactful Data Engineer: Azure Data Pipelines & Analytics

Mane Consulting; Canberra; On-site; AUD 110,000 - 160,000; Full time

Job summary

Mane Consulting is seeking a Data Engineer to help deliver our data roadmap and transform data into actionable insights from our Canberra base. You will build scalable pipelines in Azure, enabling ingestion, transformation and loading of data across sources into our data ecosystem.

You will work with Azure Data Factory, Databricks, Synapse, Purview, and Power BI to enable advanced analytics and trusted data products for the business.

Qualifications

• Experience in data warehousing, ETL/ELT, and dimensional data modeling.
• Hands-on with Azure data and analytics services such as Data Factory, Databricks, Synapse.
• Strong SQL skills and experience with Power BI for data visualization.
• Excellent communication and ability to translate business requirements.

Responsibilities

• Create and manage data pipelines for ETL/ELT ingestion into Azure data ecosystem.
• The Data Engineer must understand advanced analytics at scale with Purview, Synapse Analytics, and Power BI.
• Proficient in Azure Data Factory, Databricks, Synapse, and other Azure services to build scalable data solutions.
• Data Modeling: design efficient data models supporting analytical and operational workloads.
• Optimization and Performance Tuning: optimize storage, indexing, and query performance.

Skills

Data warehousing

ETL/ELT

Data modeling

T-SQL

SQL Server

PySpark

Databricks

Power BI

Azure Synapse Analytics

Azure Data Factory

Delta Lake

Purview

Tools

Azure Data Factory

Azure Databricks

Delta Lake

Azure Synapse Analytics

Power BI

Azure Purview

Azure Stream Analytics

Azure Data Lake Storage

Job description

Mane Consulting is seeking a Data Engineer to help deliver our data roadmap and transform data into actionable insights from our Canberra base. You will build scalable pipelines in Azure, enabling ingestion, transformation and loading of data across sources into our data ecosystem.

You will work with Azure Data Factory, Databricks, Synapse, Purview, and Power BI to enable advanced analytics and trusted data products for the business.