Senior Data Engineer - Data Platform

costar; Sydney; On-site; AUD 150,000 - 190,000; Full time

Benefits offered by this job

Extra annual leave

Leadership development programs

LinkedIn Learning

Perkbox discounts

Job summary

Domain is seeking a Senior Data Engineer to build and operate a data platform for batch and streaming pipelines on a Lakehouse. You will design, develop and manage data assets that enable data-driven decisions across APAC, partnering with data science, analytics and product teams.

You will craft scalable data solutions on AWS, Snowflake and Databricks, optimise performance and cost, and contribute to data governance and quality initiatives in an agile setting.

Qualifications

• 5+ years of hands-on software or data engineering experience.
• 4+ years of SQL and Python development experience.
• Experience with data integration and orchestration tools (Airflow, DBT, AWS Glue).
• Expertise with Snowflake, Databricks, and Lakehouse architectures.
• Experience on AWS cloud infrastructure and semi-structured/unstructured data.
• Strong data modelling skills in agile environments.
• Hands-on streaming real-time pipelines with Kafka and Flink.
• Knowledge of infrastructure-as-code tools (CDK, CloudFormation, Terraform).
• Degree in computer science, engineering, mathematics, statistics, or related field.

Responsibilities

• Design and build reusable, scalable data solutions on a modern Lakehouse platform.
• Build and maintain robust data pipelines using DBT, Airflow, Snowflake, Databricks and AWS.
• Develop real-time data pipelines using Kafka and Flink for low-latency use cases.
• Connect to diverse sources via SaaS, APIs, direct connections and streaming on cloud.
• Architect data solutions on AWS, Snowflake and Databricks with cost-efficient warehousing.
• Build and optimise Lakehouse table formats like Iceberg, manage schema evolution.
• Apply modern data modelling practices in an agile environment.
• Write and optimise SQL and Spark workloads for performance and cost.
• Collaborate with data scientists, analysts, product managers, and engineers.
• Proactively identify opportunities to improve data processes and reduce costs.

Skills

SQL

Python

Data pipelines

Data modelling

Education

Degree in computer science, engineering, mathematics, statistics, or related technical field

Tools

Apache Airflow

DBT

AWS Glue

Snowflake

Databricks

Apache Kafka

Apache Flink

Iceberg

Job description

Senior Data Engineer - Data Platform

Job Description

Role Summary

Exciting opportunity for a Senior Data Engineer to join Domain - CoStar in a period of great opportunity and growth. You will have a direct impact on the continued success of Domain-CoStar in the APAC region. Leveraging the largest reality data sets in the local market , to enhance Domain-CoStar's product service offering and refine internal business practices.

The purpose of this role is to build data platform capabilities for batch and streaming pipelines on our Lakehouse and develop data assets that serve as the source and authority for data-driven decisions and analytics used across the business.

You will design, develop and operate a data platform and data pipelines which serve Domain's products and internal data teams like data product, data science, data analytics and ML/AI.

What you'll do

Solution Design:

Design and build re-usable, scalable data solutions and assets on a modern Lakehouse platform across a constantly evolving landscape of products and internal data teams.

Pipeline Development:

Build and maintain robust, reliable pipelines using DBT, Apache Airflow, Snowflake, Databricks and AWS services.

Streaming & Real-Time:

Develop real-time data pipelines using Apache Kafka and Apache Flink to support low-latency, event-driven use cases.

Data Integration:

Connect to a wide variety of internal and external sources via multiple methods (SaaS solutions, APIs, direct connections, streaming) on cloud architecture.

Cloud Data Architecture:

Architect and implement data solutions on AWS, Snowflake and Databricks, applying best practices for cloud-native data warehousing and cost-efficiency.

Lakehouse Architecture:

Build and optimise open Lakehouse table formats such as Apache Iceberg, managing schema evolution, partitioning, and performance.

Modern Data Modelling:

Apply modern data modelling practices that evolve with the business in an agile environment.

Performance & Cost:

Write and optimise complex SQL and Spark workloads to keep solutions efficient in both time and cost.

Data quality and governance

Cross-functional Partnership:

Work closely with data scientists, analysts, product managers, and engineers across the Domain Group to deliver data solutions that drive business value.

Continuous Improvement:

Challenge the status quo - proactively identify opportunities to improve data processes, reduce costs, and increase reliability.

Essential:

• At least 5+ years of hands-on commercial experience in software or data engineering.
• 4+ years of strong development experience in SQL and Python.
• Proven experience with data integration and orchestration tools, including Apache Airflow, DBT , and AWS Glue.
• Expert on some of the modern cloud data platforms and architectures, such as Snowflake, Databricks, and Lakehouse architecture
• Experience designing and building data solutions on AWS cloud infrastructure.
• Experience working with semi-structured and unstructured data.
• Strong data modelling skills with the ability to evolve models in an agile environment.
• Hands-on experience building streaming and real-time pipelines with Apache Kafka and Apache Flink.
• Knowledge of infrastructure-as-code tools such as CDK, CloudFormation, or Terraform.
• Degree in computer science, engineering, mathematics, statistics, or a related technical fiel d

What's In It For You?

• Working at CoStar Group means you'll enjoy a culture of collaboration and innovation that attracts the best and brightest across a broad range of disciplines.
• We offer you generous compensation and performance-based incentives.
• As well as having an outstanding working environment, other perks include extra days of annual leave, leadership development programs, LinkedIn Learning, Perkbox discounts and much more!

About Domain (part of the CoStar Group)

Domain is a leading property technology and services marketplace that is home to one of the largest portfolios of property brands in Australia, including the Domain, Allhomes and Commercial Real Estate (CRE) platforms. In 2025, Domain became part of CoStar Group - a global leader in commercial real estate information, analytics, online marketplaces and 3D digital twin technology. We are dedicated to digitising the world's real estate, empowering all people to discover properties, insights, and connections that improve their businesses and lives.

Equity, Diversity & Inclusion

Domain is enthusiastically and unapologetically committed to fostering an equitable, inclusive work culture which reflects our customers and communities. We are proactively looking for candidates from all lived experiences, including people with disability, and people of all ages, ethnicities, cultures (including Aboriginal and Torres Strait Islander Peoples), faiths, sexual orientations, and gender identities (including trans and non-binary people).

We are committed to providing an equitable recruitment process for people with disability. If you requ