Seeking a Lead Data Engineer with at least 5 years' experience working as a data engineer.
Job details
The Department is looking for a Data Engineer to join its Enterprise Analytics and Technology Services (EATS) section to work across its data and analytics platforms.
We are seeking candidates with solid 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.
To be successful in the role, you must have a strong work ethic including taking ownership, providing leadership, having a high level of productivity, and working with a multi-disciplinary team in an Agile development environment.
You must have suitable qualifications or training in data engineering techniques and at least 5 years' experience working as a data engineer.
Key duties and responsibilities
Be responsive, flexible, 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
Azure hosted services including:
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.
Essential criteria
Demonstrated experience developing ETL/ELT processes for complex and/or large data movement, transformation and/or visualisations, particularly in a cloud environment.
Weighting:50%
Experience preparing data optimised for query performance in cloud computed engines.
E.g. Distributed computing engines (Spark) Graph Databases Azure SQL - Weighting:25%
Experience working with Engineering, Storage and Analytics services in cloud infrastructure - Weighting:25%
Desirable criteria
Experience working with Azure Data Factory and Databricks.
Experience/Knowledge of working with Data Lake and Lakehouses.
Contract
12 Month Contract with 1 x 12 months extension option
Security Required
NV1 Security Clearance required
Location
Canberra, Hybrid- Candidates may be permitted to work remotely up to 2-days per week.
Closing date
Monday19 October ****
#J-*****-Ljbffr

📌 Lead Data Engineer (Canberra)
🏢 Whizdom
📍 Canberra