Job Description
One of our federal govt clients is seeking to engageLead Data EngineerforCanberralocation
Extension term details -24months
Location of work -ACT
Working arrangements -Hybrid
One of our federal govt clients is seeking to engageLead Data EngineerforCanberralocation
Initial contract duration-12 months
Extension term details -24months
Experience level EL1equivalent
Location of work -ACT
Working arrangements -Hybrid
Job details
Our client is looking for a Data Engineer who can work across its data and analytics platforms.
We are seeking candidates with strong experience in developing Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) processes, and /or the development of data products and complex data visualisations.
The role will be responsible for design, development and testing activities across several data movement, data transformation, and data visualisation processes .
The data movement and transformation processes focus on the preparation of data for use in decision making processes across the department, utilising modern cloud technology (Azure & Databricks) to enable operational analytics use cases.
Key duties and responsibilities
Responsibilitiesinclude, but not limited to:
Be responsive, versatile, and work collaboratively as part of an agile team.
Strong relationship building, and negotiation skills.
Strong written and oral communication skills.
Creating and maintaining automated ingest and transformation patterns and frameworks.
Designing, building and maintaining data ingest and transformation solutions to meet current and emerging needs.
Assisting project teams achieve objectives that align with departmental,



divisional, and program priorities.
Supporting data engineers in delivery teams, through regular quality reviews and constructive feedback on utilising data assets to produce quality data products.
The successful candidate will require experience with the following techniques and technologies:
Data Integration - Data Factory, SQL Server Integration Services and/or Databricks
Data Store - SQL Server and/or Data Lake Storage
Analytics - Azure Databricks, Azure Machine Learning, ArcGIS Enterprise
Development tools – DevOps, Visual Studio
Data technology solutions – sourcing (Oracle, Ingres, Azure, SQL Server), automated ingestion
Data Preparation
Transformation of data into formats tailored for advanced analytics and AI use cases – Parquet and/or Delta
Data Visualisation
Analyse and interpret complex data sets, and to identify trends and patterns.
Design principles to create appropriate visualisations for target audience.
Visualisation tools - Power BI.
Weighting
1.Demonstrated experience developing ETL/ELT processes for complex and/or large data movement, transformation and/or visualisations, particularly in a cloud environment.
Weighting:50%
2. Experience preparing data optimised for query performance in cloud computed engines.
E.g.
Distributed computing engines (Spark)
Graph Databases
Azure SQL
Weighting:25%
3.Experience working with Engineering, Storage and Analytics services in cloud infrastructure.
Weighting:25%
Desirable criteria
1.Experience working with Azure Data Factory and Databricks.
2.Experience/Knowledgeof working with Data Lake and Lakehouses.
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📌 Lead Data Engineer-Canberra -Hybrid
🏢 IT Alliance
📍 Canberra