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5 дней назад

Senior Data Engineer (Fintech)

180 000 - 200 000AUD
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Australia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Data Engineer (Fintech): Building scalable data platforms, pipelines, and models for analytics, reporting, customer insights, and business-critical decision making with an accent on cloud data platforms, ETL/ELT, and data quality. Focus on integrating disparate sources, modernising financial data environments, supporting CI/CD, and troubleshooting production pipelines.

Location: Melbourne, Victoria, Australia; hybrid working environment

Salary: AUD 180,000–200,000 per annum plus superannuation

Company

A leading Australian financial institution expanding its data engineering capability across large-scale financial data platforms.

What you will do

  • Design, develop, and maintain scalable data pipelines and ETL/ELT processes.
  • Build and maintain cloud-based data platforms, data models, and transformation processes.
  • Integrate data from internal and external sources, improving data quality, reliability, and performance.
  • Translate business requirements into technical solutions with analysts, engineers, architects, and business stakeholders.
  • Contribute to data architecture, engineering standards, CI/CD, and automated deployment practices.
  • Monitor and troubleshoot production data pipelines while supporting modernisation initiatives.

Requirements

  • At least 5 years of experience in data engineering.
  • Strong Python and SQL skills, with experience building production-grade ETL/ELT pipelines.
  • Strong understanding of data modelling and data warehousing.
  • Experience with cloud data platforms such as Azure, AWS, or GCP.
  • Experience with APIs, disparate data integration, CI/CD, and modern engineering practices.
  • Strong communication skills and the ability to work with technical and non-technical stakeholders.

Nice to have

  • Exposure to Databricks, Snowflake, Spark, or Airflow.
  • Experience in banking, financial services, or another highly regulated environment.

Culture & Benefits

  • Hybrid working environment in Melbourne CBD.
  • Work on large-scale financial data platforms and major data transformation initiatives.
  • Strong investment in modern data and cloud technologies.
  • Collaborative engineering culture.

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