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Infosys

Senior Data Engineer

🗓️ Posted 2026-07-24 Sydney, New South Wales, Australia Full-time Hybrid ICT

Company shared salary

NA

Market rate

A$12,500–A$16,666/mo (A$150,000–A$199,992/yr)

Based on similar roles (title + domain + location).

About the Company

Infosys is a global leader in next-generation digital services and consulting . We enable clients in more than 56 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower businesses with agile digital at scale to deliver unprecedented levels of performance and customer satisfaction. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovative ecosystem. Recognized as the 1 Top Employer in Australia for the second year in a row, Infosys offers a workplace where careers grow with purpose. As an AI first organization, we empower our people to work on next generation technologies, continuously learn, and create impact at scale-supported by a culture rooted in care, inclusion, and excellence. Join Infosys and be part of a culture that's not just promised-it's certified. TopEmployer2026 ThriveAtInfosys Role Description: Looking for Senior Data Engineer Location: Sydney, Australia Salary: AUD 108,571 - 119,893 Annual Gross Please Note: - The above salary range is only indicative and maybe subject to suitable enhancements, based on internal company processes Flexible working arrangements (hybrid, reviewed case-by-case basis). Feel free to connect with your recruiter to learn more about how this works in practice. Roles And Responsibilities Enhance, optimize, and maintain existing data ingestion, transformation, and extraction pipelines and assets built for reporting and analytics on the Unified Data platform. Work with the Product Owner and Chapter Lead to understand quarterly priorities and OKRs, and gather detailed requirements from initiative owners or program sponsors based on planned Epics

Requirements

  • ● Education:
  • ● Bachelor's, Master's, or Doctorate degree in Mathematics, Statistics, Computer Science, or Information Management.
  • ● Work Experience:
  • ● 8+ years of experience in Data Engineering and Data Warehousing.
  • ● Technical Skills:
  • ● Design, build, and optimize scalable pipelines using Azure Databricks, PySpark, and Delta Lake for large-scale data transformation
  • ● Develop complex SQL and Python code for data transformation, and validation across large datasets in cloud data platforms
  • ● Strong hands-on experience with Azure Databricks (notebooks, workflows, cluster configuration), Delta Lake, and Azure data services (ADLS, ADF)
  • ● Proficiency in Python, PySpark, CICD and SQL for production-grade data engineering solutions
  • ● Familiar with CI/CD processes including BitBucket/GitHub, Jenkins, and Nexus.
  • ● Capable of managing both structured and unstructured data types.
  • ● Non Technical skills: Experience working with a team of data engineers across different locations and time zones.
  • ● Excellent communication skills.
  • ● Strong prioritization abilities.
  • ● Pragmatic stakeholder management.
  • ● Excellent customer-facing skills
  • ● Excellent written and verbal communication skills
  • ● Strong attention to detail and outstanding analytical and problem-solving skills.
  • ● Proficient in Excel, Word, and PowerPoint.
  • ● Ability to prioritise and manage to multiple concurrent activities
  • ● Income Protection Insurance
  • ● Paid Parental and Volunteer leaves
  • ● Employee Assistance Program (EAP)
  • ● Flexible working arrangements (hybrid, reviewed case-by-case basis)
  • ● Health Insurance Discount and Well-being Program
  • ● Access to Fitness and Gym Memberships
  • ● Salary packaging and novated leasing