Lead Data Engineer: Platform Builder & Mentor

Zentact Systems Pty Ltd

Sydney

On-site

AUD 180,000 - 240,000

Full time

20 hours ago
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Job summary

Zentact Systems Pty Ltd in Sydney is seeking a Lead Data Engineer to raise the bar for the data team. This hands-on leadership role shapes a data platform that becomes the single source of truth for the business.

You will mentor engineers, design high-performing pipelines, and partner with data scientists, analysts and DevOps to deliver scalable, secure data products. Advanced SQL and Python are essential, with 7+ years of experience.

Qualifications

  • 7+ years of hands-on data engineering experience.
  • Advanced SQL and Python.
  • ETL/ELT, dimensional modelling, data lakes and warehouses, CDC, orchestration and PII protection.
  • Experience with at least one major cloud (AWS, GCP or Azure).
  • A problem-solving mindset, especially when the problem is ambiguous.

Responsibilities

  • Lead the design and build of a high-performing data engineering platform.
  • Build ingestion and transformation pipelines and reusable data products patterns.
  • Work with the Head of Data Engineering to deliver the data engineering strategy.
  • Mentor and inspire engineers, and drive best practices and better ways of working.
  • Partner with data scientists, ML engineers, analysts, DevOps and business stakeholders.
  • Keep data products secure, reliable and well governed.

Skills

Data engineering
SQL
Python
ETL/ELT
Dimensional modelling
Data lakes/warehouses
CDC
Orchestration
PII protection
Cloud (AWS/GCP/Azure)
Problem-solving mindset

Tools

dbt
Snowflake
Databricks
Airflow
Fivetran
Airbyte
CI/CD
Terraform
MLOps

Job description

Zentact Systems Pty Ltd in Sydney is seeking a Lead Data Engineer to raise the bar for the data team. This hands-on leadership role shapes a data platform that becomes the single source of truth for the business.

You will mentor engineers, design high-performing pipelines, and partner with data scientists, analysts and DevOps to deliver scalable, secure data products. Advanced SQL and Python are essential, with 7+ years of experience.

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