Senior Data Engineer: Lakehouse & Real-Time Pipelines

Domain

Sydney

On-site

AUD 140,000 - 180,000

Full time

14 days+

Get a reply from this employer

Your resume and cover letter, tailored to exactly what they’re hiring for.

Get past ATS filters

Benefits offered by this job

Extra days of annual leave
Leadership development programs
LinkedIn Learning
Perkbox discounts

Job summary

Domain is seeking a Senior Data Engineer - Product to design and operate data platform capabilities for batch and streaming pipelines across Domain-CoStar in APAC. You’ll work on a Lakehouse with AWS, Snowflake and Databricks, delivering data-driven insights for multiple internal teams.

You will collaborate with data scientists, analysts and product managers to drive value while advancing cloud-native data warehousing practices and cost efficiency.

Qualifications

  • 5+ years of hands-on software or data engineering
  • 4+ years in SQL and Python
  • Experience with Airflow, DBT, AWS Glue
  • Cloud data platforms such as Snowflake, Databricks, Lakehouse
  • Experience on AWS cloud infrastructure
  • Experience working with semi-structured/unstructured data
  • Strong data modelling skills in agile environment
  • Hands-on experience building streaming and real-time pipelines with Kafka and Flink
  • Knowledge of infrastructure-as-code tools such as CDK, CloudFormation, or Terraform
  • Degree in computer science, engineering, mathematics, statistics, or related field

Responsibilities

  • Design and build reusable, scalable data solutions on a Lakehouse platform
  • Build and maintain pipelines using DBT, Airflow, Snowflake, Databricks and AWS services
  • Develop real-time data pipelines with Apache Kafka and Apache Flink
  • Connect to various data sources via SaaS, APIs, direct connections, and streaming
  • Architect data solutions on AWS, Snowflake and Databricks
  • Optimize Lakehouse table formats and manage schema evolution
  • Apply modern data modelling in an agile environment
  • Write and optimise SQL and Spark workloads for efficiency
  • Collaborate with data scientists, analysts, product managers, and engineers
  • Proactively identify opportunities to improve data processes and reduce costs

Skills

SQL
Python
Data modeling
Kafka
Flink
ETL

Education

Bachelors in CS/Engineering

Tools

DBT
Airflow
Snowflake
Databricks
AWS Glue

Job description

Domain is seeking a Senior Data Engineer - Product to design and operate data platform capabilities for batch and streaming pipelines across Domain-CoStar in APAC. You’ll work on a Lakehouse with AWS, Snowflake and Databricks, delivering data-driven insights for multiple internal teams.

You will collaborate with data scientists, analysts and product managers to drive value while advancing cloud-native data warehousing practices and cost efficiency.

Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

Senior Data Engineer — Lakehouse & Real-Time Data (APAC)
Senior Data Engineer — Lakehouse & Real-Time Data (APAC)

Costar Group • Sydney

On-site
AUD 140,000 - 190,000
Extra leave days
Leadership development programs
LinkedIn Learning
+1
Senior Data Engineer: Lakehouse, Streaming & Cloud
Senior Data Engineer: Lakehouse, Streaming & Cloud

CoStar Group • Sydney

Hybrid
AUD 140,000 - 190,000
Extra annual leave days
Leadership development programs
LinkedIn Learning
+1
Senior Data Engineer — Real-Time Lakehouse on AWS
Senior Data Engineer — Real-Time Lakehouse on AWS

CoStar Group, Inc. • Sydney

On-site
AUD 170,000 - 210,000
Extra annual leave
Leadership development programs
LinkedIn Learning
+1
Senior Data Engineer — Lakehouse & Real-Time Platform
Senior Data Engineer — Lakehouse & Real-Time Platform

CoStar Group • New South Wales

On-site
AUD 150,000 - 190,000
Extra days of annual leave
Leadership development programs
LinkedIn Learning
+1
Senior Data Engineer - Product
Senior Data Engineer - Product

Costar Group • Sydney

On-site
AUD 140,000 - 190,000
Extra leave days
Leadership development programs
LinkedIn Learning
+1
Data Engineer - Cloud Data Pipelines & Lakehouse
Data Engineer - Cloud Data Pipelines & Lakehouse

Compare The Market • Brisbane

On-site
AUD 110,000 - 170,000
Annual celebrations
Flexible work options
ME leave
+5
Data Engineer: Fabric Lakehouse & Pipelines
Data Engineer: Fabric Lakehouse & Pipelines

The HR Ally • Sydney

On-site
AUD 140,000 - 190,000
Lead Data Platform Engineer - AWS, Data Lakehouse, DataOps
Lead Data Platform Engineer - AWS, Data Lakehouse, DataOps

ASX Limited • Australia

Hybrid
AUD 150,000 - 190,000
Hybrid working
Flexible working arrangements
Senior Data Engineer: AI-Driven Lakehouse & Cloud Pipelines
Senior Data Engineer: AI-Driven Lakehouse & Cloud Pipelines

Mantel Group Pty Ltd • Australia

On-site
AUD 140,000 - 190,000
Azure Data Engineer: Lakehouse & Pipelines
Azure Data Engineer: Lakehouse & Pipelines

NTT Limited • Sydney

On-site
AUD 130,000 - 190,000
Top locations