Onlano
Data ScienceOnsite

Staff Data Engineer

Commonwealth Bank of Australia - Company

India, ๐Ÿ‡ฎ๐Ÿ‡ณ IndiaFull-time - Lead (7-10 years)0 applicantsCloses Jun 21, 2026

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Job description

Job details

  • Location: India
  • Work mode: Onsite
  • Employment type: Full-time (Not an internship)
  • Salary: Salary details are available in the employer description.

Role overview

Commonwealth Bank of Australia is hiring a Staff Data Engineer to join their team in India. This full-time, onsite position focuses on building and maintaining robust data infrastructure that supports the bank's mission to help people and businesses achieve their financial goals. The role requires expertise in data engineering, pipeline development, and cloud technologies. Salary details are available in the employer description.

Job details

Location: India (Onsite) Employment type: Full-time Experience level: Lead (7-10 years)

As a Staff Data Engineer at CommBank, you will design scalable data solutions, lead technical initiatives, and collaborate with cross-functional teams to deliver high-quality data products. This role offers the opportunity to make a meaningful impact on financial wellbeing for millions of customers through innovative data engineering practices.

Responsibilities

  • Design and build scalable data pipelines and ETL processes
  • Lead data architecture initiatives and technical strategy
  • Optimize data infrastructure for performance and reliability
  • Mentor junior engineers and promote best practices
  • Collaborate with data scientists and analysts on data solutions

Requirements

  • 7+ years of experience in data engineering or related field
  • Strong proficiency in Python, SQL, and big data technologies
  • Experience with cloud platforms (AWS, Azure, or GCP)
  • Expertise in building and optimizing ETL pipelines
  • Strong problem-solving and leadership skills

Benefits

  • Work with a leading financial institution
  • Contribute to meaningful financial wellbeing initiatives
  • Collaborative and innovative team environment
  • Professional development opportunities

Keywords

Data EngineeringETLPythonSQLCloud PlatformsData PipelinesBig DataSparkAWS