Lead Data Engineer

IT Alliance; Canberra; On-site; AUD 140,000 - 180,000; Full time

Job summary

IT Alliance in Canberra seeks a Lead Data Engineer to design and implement scalable data pipelines for complex data movement, transformation, and visualisation in cloud environments.

This role collaborates with engineering, storage and analytics teams to extract insights, ensure data quality, and deliver reliable data products for a federal government client. Strong experience with ETL/ELT in cloud platforms is preferred.

Qualifications

• Experience developing ETL/ELT processes for complex and large data movement, transformation and visualisations, especially in cloud environments.
• Working with Engineering, Storage and Analytics services in cloud infrastructure.
• Analyse and interpret complex data sets to identify trends and patterns.
• Designing, building and maintaining data ingest and transformation solutions.

Responsibilities

• Assist project teams to achieve objectives aligning with departmental priorities.
• Support data engineers in delivery teams with regular quality reviews and feedback on data asset usage to produce quality data products.

Skills

ETL/ELT development

Cloud data engineering

Data analysis

Data ingestion & transformation

Stakeholder collaboration

Job description

One of our Federal Government clients is looking for Lead Data Engineer in Canberra.

We are looking for the following Skills/Experience:

• Demonstrated experience developing ETL/ELT processes for complex and/or large data movement, transformation and visualisations, particularly in a cloud environment.
• Experience working with Engineering, Storage and Analytics services in cloud infrastructure.
• Analyse and interpret complex data sets, and to identify trends and patterns.
• 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.

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