Ai Engineer

Accenture; Singapore; On-site; SGD 90,000 - 140,000; Full time

Job summary

Accenture in Singapore is seeking a Data Engineer to design, develop, and maintain data solutions that support data generation, collection, and processing across systems.

You will lead data pipelines, ensure data quality, and implement ETL processes while advising teams on data architecture and best practices to deliver scalable and reliable data solutions.

Qualifications

• Expert proficiency in Data Engineering.
• Advanced proficiency in Data Migrations, Data Access, and Data Pipelines.
• Expert proficiency in Data Processing.

Responsibilities

• Design, develop, and maintain data solutions for data generation, collection, and processing.
• Create data pipelines and ETL processes to migrate and deploy data across systems.
• Ensure data quality across pipelines and data stores.
• Provide advanced guidance on data architecture and pipeline optimization.
• Shape data engineering approaches and best practices for scalable, reliable data solutions.
• Collaborate with cross-functional teams to influence data strategy and align on technical decisions.
• Lead efforts to elevate data quality standards and drive continuous improvement.

Skills

Data engineering

Data migrations

Data access

Data pipelines

Data processing

Job description

We are seeking a new talent to join the AI & Data team

As a Data Engineer, you will be responsible for designing, developing, and maintaining data solutions that support data generation, collection, and processing. Your day-to-day activities will include creating data pipelines, ensuring data quality, and implementing extract, transform and load processes to migrate and deploy data across systems.

You are expected to be a subject matter expert with deep knowledge and experience, demonstrating influencing and advisory skills.

You will take responsibility for team decisions, engage with multiple teams, and contribute to key decisions by providing solutions that apply across various groups.

• Expert proficiency in Data Engineering is required. Advanced proficiency in Data Migrations, Data Access, and Data Pipelines is suggested, along with expert proficiency in Data Processing.
• Provide advanced guidance on data architecture and pipeline optimization to enhance overall system performance.
• Shape data engineering approaches and best practices to ensure scalable and reliable data solutions.
• Collaborate with cross-functional teams to influence data strategy and drive alignment on technical decisions.
• Lead efforts to elevate data quality standards and implement innovative solutions for complex data challenges.
• Engage stakeholders to communicate technical concepts clearly and foster a culture of continuous improvement.