Senior Data Engineer, Real-Time Analytics & AI

Immutable; Australia; Hybrid; AUD 150,000 - 210,000; Full time

Benefits offered by this job

Employee Stock Options (ESOP)

WFH allowance

Internet allowance

Office/hub access

Job summary

Immutable is hiring a Lead Data Engineer to own the data path from ingestion to analytics, supporting the Immutable Audience platform. You will design and build a real-time event-streaming platform and end-to-end data pipelines in BigQuery, dbt, SQL, and Python, while setting quality and observability standards.

You will mentor engineers, shape technical direction, and explore AI-enabled tooling within a modern cloud data stack including AWS/GCP, Kafka, Flink, ClickHouse, and Cursor/Claude Code.

Qualifications

• Experience building and scaling production data pipelines end-to-end.
• Strong SQL and Python used in production environments.
• Deep data modeling skills for analytics and product use cases.
• Proficiency with cloud data warehouses and streaming/batch processing.
• Familiarity with dbt, orchestrators, and infra-as-code practices.

Responsibilities

• Build a real-time event-streaming platform using Kafka/Flink/ClickHouse for segmentation at scale.
• Set technical direction as the product and team scale.
• Own end-to-end data pipelines in BigQuery, dbt, SQL, and Python.
• Establish data quality, testing, and observability standards.
• Mentor engineers and contribute to architectural decisions.
• Integrate AI tooling into data workflows and platform features.

Skills

Pipelines & data engineering

SQL

Python

Data modeling

Cloud platforms

Infra-as-code

Observability

Tools

dbt

BigQuery

Kafka

Flink

ClickHouse

Job description

Immutable is hiring a Lead Data Engineer to own the data path from ingestion to analytics, supporting the Immutable Audience platform. You will design and build a real-time event-streaming platform and end-to-end data pipelines in BigQuery, dbt, SQL, and Python, while setting quality and observability standards.

You will mentor engineers, shape technical direction, and explore AI-enabled tooling within a modern cloud data stack including AWS/GCP, Kafka, Flink, ClickHouse, and Cursor/Claude Code.