Senior Data Engineer – Data Platform & ETL Lead

Softtest pays pty ltd

City of Brisbane

On-site

AUD 110,000 - 140,000

Full time

2 days ago
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Job summary

Softtest pays pty ltd in Brisbane seeks an EL1 Data Acquisition Engineer to lead a data warehouse project stream. You will guide design review sessions, implement data platform development, and provide architectural oversight for data models and dictionaries.

The role covers hands-on data engineering, release process definition, and knowledge transfer to the team, with emphasis on delivering reliable data solutions within NDIA environments.

Qualifications

  • Senior member of a project stream of the NDIA data warehouse platform.
  • Hands-on data platform development and updating data development documentation.
  • Provide technical guidance to developers and review data designs and models.

Responsibilities

  • Provide technical leadership through design reviews, set release practices, and run technical workshops.
  • Review and refine the data delivery framework to improve integration of new sources and performance.
  • Own the technical implementation of new data from analysis to delivery, including data dictionary and release steps.
  • Facilitate continuous improvement in delivery principles, coding standards, and documentation; provide training sessions.
  • Provide knowledge transfer sessions and peer reviews on development, data modelling, and release processes.
  • Prioritise work items and manage them in a work queue.
  • Understand, analyse and size user requirements.
  • Develop and maintain SQL analytical and ETL code.
  • Develop and maintain system documentation.
  • Collaborate with data consumers, database developers, testers and IT support.

Skills

Data engineering
SQL
ETL development
Data modelling
Technical leadership
Documentation
Requirements analysis

Tools

ETL tools
Data integration tools

Job description

Softtest pays pty ltd in Brisbane seeks an EL1 Data Acquisition Engineer to lead a data warehouse project stream. You will guide design review sessions, implement data platform development, and provide architectural oversight for data models and dictionaries.

The role covers hands-on data engineering, release process definition, and knowledge transfer to the team, with emphasis on delivering reliable data solutions within NDIA environments.

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