About Us:
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 Employerin 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
Visit www.infosys.com to see how Infosys (NYSE: INFY) can help your enterprise navigate your next.
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.
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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.
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Perform data wrangling, profiling, and analysis for new datasets ingested from source systems and those derived from existing datasets using on-premises and cloud-native tools.
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Coordinate with other teams for planning, design, governance, engineering, and release management to ensure timely and accurate delivery of data and services.
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Build new data assets and pipelines tailored to downstream requirements (e.g., datasets for Tableau vs. TM1 cubes).
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Document low-level design, source-to-column mapping, test cases, production release implementation plans, and operational support manuals.
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Schedule data pipelines using tools like Control M and Airflow, ensuring correct upstream dependencies and SLA compliance.
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Provide warranty support to Operations post-production release and update documentation accordingly.
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Collaborate with multiple business and IT teams to deliver the final outcome.
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Ensuring effective communication and collaboration across multiple stakeholders and business units of Optus.
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Gaining functional knowledge by reviewing the existing code base to better understand the Optus domain.
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Adapting to an agile environment with constant change and diverse challenges in a competitive market.
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Working effectively within tight timeframes.
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Balancing the needs of multiple stakeholders across various business initiatives and managing competing priorities to ensure timely resolution.
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The ability to develop sensible alternate solutions, utilising your market knowledge whilst working both quickly and accurately to meet short deadlines and manage competing priorities.
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Skill / Competencies / Experience:
ESSENTIAL-
Education:
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Bachelor’s, Master’s, or Doctorate degree in Mathematics, Statistics, Computer Science, or Information Management.
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Work Experience:
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8+ years of experience in Data Engineering and Data Warehousing.
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Technical Skills:
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Design, build, and optimize scalable pipelines using Azure Databricks, PySpark, and Delta Lake for large-scale data transformation
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Develop complex SQL and Python code for data transformation, and validation across large datasets in cloud data platforms
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Strong hands-on experience with Azure Databricks (notebooks, workflows, cluster configuration), Delta Lake, and Azure data services (ADLS, ADF)
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Proficiency in Python, PySpark, CICD and SQL for production-grade data engineering solutions
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Familiar with CI/CD processes including BitBucket/GitHub, Jenkins, and Nexus.
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Capable of managing both structured and unstructured data types.
PREFERRED-
Non Technical skills: Experience working with a team of data engineers across different locations and time zones.
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Excellent communication skills.
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Strong prioritization abilities.
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Pragmatic stakeholder management.
ADDITIONAL
- Excellent customer-facing skills
- Excellent written and verbal communication skills
- Strong attention to detail and outstanding analytical and problem-solving skills.
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Proficient in Excel, Word, and PowerPoint.
- Ability to prioritise and manage to multiple concurrent activities
In addition to compensation aligned with your role, you’ll have access to a wide range of benefits that support your health, career growth, and overall well-being (AU)-
Income Protection Insurance
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Paid Parental and Volunteer leaves
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Employee Assistance Program (EAP)
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Flexible working arrangements (hybrid, reviewed case-by-case basis)
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Health Insurance Discount and Well-being Program
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Access to Fitness and Gym Memberships
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Salary packaging and novated leasing
Our
recruitment and selection process is designed to create the best match for both you and Infosys. Depending on the role, it may include an initial screening, technical or functional interviews, and conversations focused on cultural alignment and shared values. We are committed to making the experience transparent, respectful, and engaging at every step.
Hear from our recruiter on their experience working with Infosys as an Employer
At Infosys, we recognize that everyone has individual requirements. If you are a person with disability, illness, or injury and require adjustments to the recruitment and selection process, please contact our Recruitment team for adjustment either via the following email
[email protected] or call 1-866-472-0935. Alternatively, you can include your preferred method of communication in email, and someone will be in touch.
Please note in order to protect the interest of all parties involved in the recruitment process, Infosys does not accept any unsolicited resumes from third-party vendors. In the absence of a signed agreement, any submission will be deemed as non-binding and Infosys explicitly reserves the right to pursue and hire the submitted profile. All recruitment activity must be coordinated through the Talent Acquisition department.
“All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer.”
