Support design, build, and maintenance of infrastructure for large-scale training and inference of generative AI models. Develop and optimize data pipelines, implement AI application infrastructure, recommend technologies, add operational controls and governance, build observability for platform reliability, and collaborate with cross-functional teams while exploring emerging data engineering practices.
About the Role
As a Junior Data Engineer, you will contribute to building and optimizing data and AI infrastructure that enables scalable development of generative AI solutions. This role provides an opportunity to deepen your technical expertise while working alongside experienced professionals to deliver high-impact data and platform solutions.
As a Junior Data Engineer, you will contribute to building and optimizing data and AI infrastructure that enables scalable development of generative AI solutions. This role provides an opportunity to deepen your technical expertise while working alongside experienced professionals to deliver high-impact data and platform solutions.
Key Responsibilities
• Design, build, and maintain infrastructure to support large-scale training and inference of generative AI models
• Develop and optimize data pipelines and systems for performance, scalability, and cost efficiency
• Support the implementation of infrastructure for AI application development and operations
• Evaluate and recommend infrastructure and technology solutions aligned with business requirements
• Collaborate with cross-functional teams to contribute solutions to technical challenges
• Assist in implementing operational controls and governance for AI platforms
• Develop observability solutions to monitor performance, reliability, and usage of AI platforms
• Continuously explore emerging technologies and contribute ideas to improve data engineering practices
• Design, build, and maintain infrastructure to support large-scale training and inference of generative AI models
• Develop and optimize data pipelines and systems for performance, scalability, and cost efficiency
• Support the implementation of infrastructure for AI application development and operations
• Evaluate and recommend infrastructure and technology solutions aligned with business requirements
• Collaborate with cross-functional teams to contribute solutions to technical challenges
• Assist in implementing operational controls and governance for AI platforms
• Develop observability solutions to monitor performance, reliability, and usage of AI platforms
• Continuously explore emerging technologies and contribute ideas to improve data engineering practices
Required Qualifications
• Bachelor’s degree in Computer Science, Engineering, or a related field
• Minimum 1 year of experience in data engineering, software development, or related technical roles
• Intermediate proficiency in Python software development
• Intermediate proficiency in SQL and working with relational databases
• Understanding of data processing concepts and basic data engineering principles
• Strong problem-solving skills and ability to work independently and collaboratively
• Effective communication skills to participate in technical discussions and solution design
• Bachelor’s degree in Computer Science, Engineering, or a related field
• Minimum 1 year of experience in data engineering, software development, or related technical roles
• Intermediate proficiency in Python software development
• Intermediate proficiency in SQL and working with relational databases
• Understanding of data processing concepts and basic data engineering principles
• Strong problem-solving skills and ability to work independently and collaboratively
• Effective communication skills to participate in technical discussions and solution design
Preferred Qualifications (Optional)
• Experience with data pipelines, data processing, and data engineering workflows
• Familiarity with data access and transformation techniques
• Exposure to cloud computing platforms and services
• Knowledge of distributed systems or large-scale data processing frameworks
• Experience with data pipelines, data processing, and data engineering workflows
• Familiarity with data access and transformation techniques
• Exposure to cloud computing platforms and services
• Knowledge of distributed systems or large-scale data processing frameworks
About the Company / Team
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 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.
Equal Employment Opportunity Statement
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
Accenture is committed to providing veteran employment opportunities to our service men and women.
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Accenture Singapore, Singapore, SGP Office
250 North Bridge Road, Singapore, Singapore, 179101
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The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.
