Senior Data Engineer - Data Platform

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!