Data Engineering, Management & Governance Senior Manager/Manager/Associate Manager/Specialist job opportunity at Accenture Plc.



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Accenture Plc Data Engineering, Management & Governance Senior Manager/Manager/Associate Manager/Specialist
Experience: 5 years
Pattern: full-time
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Salary:
Status:

AI & Data

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degreeBachelor's (B.Sc.)
loacation Multiple Locations, Australia
loacation Multiple Locat..........Australia

About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.Join Accenture to work at the heart of change. Visit us at www.accenture.com Role: Data Engineering, Management & Governance Senior Manager / Manager / Associate Manager / Specialist Role Purpose: Design, build, and maintain scalable data pipelines and infrastructure to collect, process, and store data. Ensure data is accurate and usable for reporting and data science. Leverage cloud engineering, data integration, and big data engineering to enhance data systems. Identify and implement solutions to establish all data management capabilities and identify opportunities for leveraging data to drive business growth and innovation. Implement and manage data platforms across on-premises and cloud environments to ensure efficient data infrastructure, security, compliance, and observability. Establish and maintain data governance frameworks to ensure data quality, security, and compliance across the organisation. Develop standards for data management, accessibility, and usage to support informed decision-making Role Responsibilities: • Data Engineering - Build scalable data pipelines and infrastructure to collect, process, and store data, leveraging big data engineering with strong cloud knowledge - Develop scalable data workflows using ETL tools, SQL, Python, and big data technologies. Ensure data is accurate and usable for reporting and data science • Data & AI Platform Engineering - Design, implement, and manage complex data pipelines and infrastructure within data platforms, focusing on performance, stability, and data quality - Optimise and maintain data pipelines to improve platform efficiency, ensuring compliance with security and observability standards • Data Governance - Lead the design and implementation of data governance frameworks to ensure data accuracy, privacy, and compliance with regulatory requirements - Develop policies and best practices for data access, classification, and stewardship, working closely with data, IT, and compliance teams

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