обновлено 16 дней назад
Principal Data Engineer (Property Technology)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Data Engineer (Property Technology): Designing and delivering reliable data systems and solutions for a large-scale property platform with an accent on data architecture, modelling, orchestration, governance, and automation. Focus on shaping technology strategy across squads, optimizing ETL/ELT workflows, mentoring engineers, and solving complex data-platform challenges at scale.
Location: Hybrid role based in Richmond, Melbourne, Australia
Company
develops property products and platforms that help Australians research, find, and finance homes, including property.com.au.
What you will do
- Oversee solution architecture and system design across the Listings and Enrichment teams.
- Collaborate with data scientists, analysts, platform engineers, architects, and engineering leaders to deliver reliable, high-quality data solutions.
- Define and apply technology strategy, data-platform roadmaps, and emerging technology plans.
- Drive best practices in data modelling, orchestration, governance, automation, and performance optimization.
- Design user-centric cross-squad solutions and remain hands-on with software development using agile practices.
- Coach and mentor experienced engineers while contributing to internal and external technology knowledge-sharing.
Requirements
- 7+ years of experience in data engineering or a related field.
- Proficiency in Python, Scala, Java, or Kotlin, with the ability to contribute to a JVM codebase.
- Strong experience with cloud data warehouses such as BigQuery, Snowflake, or Redshift.
- Hands-on experience with Airflow, Dagster, or Prefect and solid knowledge of AWS, GCP, or Azure.
- Experience designing and optimizing large-scale ETL/ELT workflows, data architecture, modelling, and performance.
- Experience mentoring or coaching engineers, leading cross-functional technical projects, and managing stakeholders.
Nice to have
- Experience with dbt for data transformation and modular modelling.
- Exposure to Kafka, Flink, or Spark Streaming.
- Knowledge of data governance, metadata management, observability, DevOps, and CI/CD for data systems.
Culture & Benefits
- Hybrid and flexible working approach.
- Flexible leave options, including birthday leave and additional purchased leave.
- Flexible parental leave for primary and secondary carers.
- Volunteering leave, community grants, matched payroll giving, and community-focused initiatives.
- Hackdays for developing and testing new ideas.
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