Lead Data Engineer

  • Australia
  • Sydney
  • Contract
  • Negotiable

EL1 Data Engineer

Contract Duration: 12 Months
Location: NSW (Hybrid)
Hours: 37.5 per week
Clearance: Must be able to obtain Baseline
Citizenship: Australian citizens only

Role Overview

The EL1 Data Engineer is a senior member of the data warehouse project team, responsible for end-to-end delivery of new data pipelines, reviewing and approving data models, providing technical guidance to developers, and maintaining high-quality documentation. The role requires hands-on technical delivery, leadership, and knowledge transfer to support the project stream and broader data platform.

Key Responsibilities

  • Provide technical leadership through design reviews, best-practice guidance, and technical workshops.

  • Refine and enhance the data delivery framework, improving integration of new data sources, performance, and efficiency.

  • Lead the end-to-end technical implementation of new data, including:

    • Data analysis and dictionary creation

    • Release step definition

    • Best-practice data modelling

    • Review and approval of data designs

  • Facilitate continuous improvement in coding standards, documentation, development processes, and team capability.

  • Conduct training and knowledge transfer sessions for developers and team members.

  • Prioritise and manage development work items.

  • Analyse, understand, and size user requirements.

  • Develop and maintain SQL analytical and ETL code.

  • Maintain system and technical documentation.

  • Collaborate with data consumers, database developers, testers, and IT support teams.

Essential Criteria (must be addressed in 1-page pitch, 5000 characters)

  1. Competency in at least two of the following data warehouses: MS SQL, Teradata, Snowflake, Redshift, Databricks.

  2. High-level programming skills in languages such as Python, SAS, R, or Java.

  3. Strong SQL expertise, including reverse-engineering end-user SQL code.

  4. Ability to read and interpret data models and technical specifications.

  5. Understanding of DevOps processes and ability to use DevOps tools in line with procedures.

  6. Knowledge of version control principles and their appropriate use.

Desirable Criteria

  1. Minimum 4 years in a similar data engineering role.

  2. Exposure to AWS Cloud (S3, Glue) or equivalent cloud tools; competency with SAS and Excel.

  3. Tertiary qualifications in mathematics, statistics, computer science, or 3+ years relevant experience.

  4. Experience with data modelling using metadata-driven or model-driven frameworks.

Eligibility Requirements

  • Australian citizenship is mandatory.

  • Must be able to obtain Baseline security clearance.

How to Apply

Along with your resume, please provide a one-page pitch addressing all essential criteria specified. The pitch should clearly demonstrate your relevant experience, skills, and outcomes aligned to the EL1 Data Engineer role. Maximum 5000 characters.

📩 Send both resume and one-page pitch to priya.gabriel@talentinternational.com

Note: Australian citizenship and Baseline eligibility are mandatory.

Apply now

Submit your details and attach your resume below. Hint: make sure all relevant experience is included in your CV and keep your message to the hiring team short and sweet - 2000 characters or less is perfect.