Lead Data Engineer

Zentact Systems Pty Ltd; Sydney; On-site; AUD 180,000 - 240,000; Full time

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

Want to raise the bar for an entire data engineering team?

We’re looking for a Lead Data Engineer to be the team’s “Bar Raiser”: setting the standard, mentoring engineers and building a data platform that becomes the single source of truth for the business. Hands‑on, 7+ years’ experience.

What you’ll do

• Lead the design and build of a high-performing data engineering platform
• Build ingestion and transformation pipelines and the patterns behind reusable data products
• 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

What you’ll bring

• 7+ years of hands‑on data engineering
• 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

Good to have:

• dbt
• Snowflake or Databricks
• Airflow
• Fivetran or Airbyte
• CI/CD
• Terraform
• MLOps