Data Engineer

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 the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

Visit www.infosys.com to see how Infosys (NYSE: INFY) can help your enterprise navigate your next.
Short Description: Looking for Data Engineer
Salary Range: 90243-98861 AUD Annual Gross

Location :SYDNEY

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.
• 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.
• Coordinate with other teams for planning, design, governance, engineering, and release management to ensure timely and accurate delivery of data and services.
• Build new data assets and pipelines tailored to downstream requirements (e.g., datasets for Tableau vs. TM1 cubes).
• Document low-level design, source-to-column mapping, test cases, production release implementation plans, and operational support manuals.
• Schedule data pipelines using tools like Control M and Airflow, ensuring correct upstream dependencies and SLA compliance.
• Provide warranty support to Operations post-production release and update documentation accordingly.
• Collaborate with multiple business and IT teams to deliver the final outcome.
• Gaining functional knowledge by reviewing the existing code base to better understand the domain.
• Adapting to an agile environment with constant change and diverse challenges in a competitive market.
• Working effectively within tight timeframes.
• Balancing the needs of multiple stakeholders across various business initiatives and managing competing priorities to ensure timely resolution.
• 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.

Skill / Competencies / Experience:

ESSENTIAL

• Education:
  • Bachelor's, Master's, or Doctorate degree in Mathematics, Statistics, Computer Science, or Information Management.
• Work Experience:
  • 4-5 years of experience in Data Engineering and Data Warehousing.
• Technical Skills:
  • Hands-on experience with advanced SQL and Python.
  • Proficient in data profiling.
  • Experience working with cloud platforms like Azure and cloud data warehouses such as Databricks.
  • Skilled in scheduling tools like Airflow and Control M.
  • Knowledgeable in Big Data tools such as Spark (Python/Scala), Hive, Impala, Hue, and storage systems like HDFS and HBase.
  • Familiar with CI/CD processes including BitBucket/GitHub, Jenkins, and Nexus.
  • 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.
• Excellent communication skills.
• Strong prioritization abilities.
• 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.
    • Proficient in Excel, Word, and PowerPoint.
    • Ability to prioritise and manage to multiple concurrent activities

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 Infosys_ta@infosys.com 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."
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 the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

Visit www.infosys.com to see how Infosys (NYSE: INFY) can help your enterprise navigate your next.
Short Description: Looking for Data Engineer
Salary Range: 90243-98861 AUD Annual Gross

Location :SYDNEY

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.
• 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.
• Coordinate with other teams for planning, design, governance, engineering, and release management to ensure timely and accurate delivery of data and services.
• Build new data assets and pipelines tailored to downstream requirements (e.g., datasets for Tableau vs. TM1 cubes).
• Document low-level design, source-to-column mapping, test cases, production release implementation plans, and operational support manuals.
• Schedule data pipelines using tools like Control M and Airflow, ensuring correct upstream dependencies and SLA compliance.
• Provide warranty support to Operations post-production release and update documentation accordingly.
• Collaborate with multiple business and IT teams to deliver the final outcome.
• Gaining functional knowledge by reviewing the existing code base to better understand the domain.
• Adapting to an agile environment with constant change and diverse challenges in a competitive market.
• Working effectively within tight timeframes.
• Balancing the needs of multiple stakeholders across various business initiatives and managing competing priorities to ensure timely resolution.
• 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.

Skill / Competencies / Experience:

ESSENTIAL

• Education:
  • Bachelor's, Master's, or Doctorate degree in Mathematics, Statistics, Computer Science, or Information Management.
• Work Experience:
  • 4-5 years of experience in Data Engineering and Data Warehousing.
• Technical Skills:
  • Hands-on experience with advanced SQL and Python.
  • Proficient in data profiling.
  • Experience working with cloud platforms like Azure and cloud data warehouses such as Databricks.
  • Skilled in scheduling tools like Airflow and Control M.
  • Knowledgeable in Big Data tools such as Spark (Python/Scala), Hive, Impala, Hue, and storage systems like HDFS and HBase.
  • Familiar with CI/CD processes including BitBucket/GitHub, Jenkins, and Nexus.
  • 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.
• Excellent communication skills.
• Strong prioritization abilities.
• 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.
    • Proficient in Excel, Word, and PowerPoint.
    • Ability to prioritise and manage to multiple concurrent activities

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 Infosys_ta@infosys.com 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."
Infosys ANZ: Check out why you should join Infosys.

Client-provided location(s): Sydney, Australia

Job ID: Infosys-139453BR

Employment Type: OTHER

Posted: 2025-09-23T18:37:34