Principal Data Engineer – Tech Lead, Analytics & ETL

Department of Customer Service

Sydney

On-site

AUD 130,000 - 180,000

Full time

14 days+
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Job summary

Department of Customer Service in Sydney is seeking a senior leader to lead and develop a high-performing team of Data Quality Analysts and Technical Support specialists, fostering collaboration, continuous improvement, and technical excellence.

You will provide hands-on technical leadership for analytics platforms, data processing products, and data ingestion frameworks, ensure compliance with data and architectural standards, and deliver on business requirements through robust ETL/ELT

Qualifications

  • Hold appropriate working rights for the type of employment offered.
  • Experience as a principal engineer, lead engineer or senior technical leader within complex enterprise environments.
  • Salary grade 11/12, with the base salary for this role starting.

Responsibilities

  • Provide hands-on technical leadership for analytics platforms, data processing products, and data ingestion frameworks, ensuring compliance with data and architectural standards and delivery of business requirements.
  • Design and deliver data engineering and analytics solutions in line with technical specifications, engineering best practices, and coding standards.
  • Design, build, and maintain ETL/ELT solutions to enable the efficient extraction, transformation, and loading of data for analytics and reporting.
  • Lead development activities across Data Engineering initiatives, providing technical direction, design guidance, workload planning, and peer review of deliverables.

Skills

Technical leadership
Data engineering
ETL/ELT design
Analytics platforms

Job description

Department of Customer Service in Sydney is seeking a senior leader to lead and develop a high-performing team of Data Quality Analysts and Technical Support specialists, fostering collaboration, continuous improvement, and technical excellence.

You will provide hands-on technical leadership for analytics platforms, data processing products, and data ingestion frameworks, ensure compliance with data and architectural standards, and deliver on business requirements through robust ETL/ELT

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