Senior Data Platform Engineer – ETL, SQL & Data Architecture

Softtest Pays Pty

Australia

On-site

AUD 150,000 - 190,000

Full time

14 days+

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Job summary

Softtest Pays Pty in Australia seeks an EL1 Data Acquisition Engineer to join the NDIA data warehouse project. The role is a senior member responsible for hands-on data platform development, documenting data development, and guiding developers through data designs and models.

Key duties include leading design reviews, refining the data delivery framework, and owning the end-to-end data implementation from analysis to delivery.

Qualifications

  • Experience with data warehouses and NDIA data platform (implied)
  • Strong SQL/ETL development and data modelling skills
  • Ability to lead design reviews, define release processes and provide technical guidance

Responsibilities

  • Provide technical leadership to the project delivery team through design reviews and workshops.
  • Refine the data delivery framework to enhance integration of new sources and performance.
  • Own technical implementation of new data from analysis to delivery, including data dictionary and release steps.
  • Lead continuous improvement in delivery principles, coding standards, and documentation.
  • Provide knowledge transfer sessions and peer review on development and data modelling best practices.
  • Prioritise work items and manage the work queue.
  • Analyze 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 teams.

Skills

Data Acquisition
ETL
SQL
Database
Development
Leadership
Analysis
Collaboration
Documentation
Training
Workshops
Integration
Reviews
Maintenance
Design
Project Delivery
Continuous Improvement
Performance

Job description

Softtest Pays Pty in Australia seeks an EL1 Data Acquisition Engineer to join the NDIA data warehouse project. The role is a senior member responsible for hands-on data platform development, documenting data development, and guiding developers through data designs and models.

Key duties include leading design reviews, refining the data delivery framework, and owning the end-to-end data implementation from analysis to delivery.

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