Data Ops Engineer

Accenture Southeast Asia; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

Accenture Southeast Asia is seeking a motivated Data Engineer to support the development and maintenance of data platforms and pipelines, working with cross-functional teams to ensure reliable, scalable data systems aligned with business needs. This role offers exposure to modern data architectures and cloud-based environments.

You will participate in designing, monitoring, and optimizing data processes, contributing to data quality and performance, and supporting continuous improvement

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field
• Hands-on experience or exposure to data engineering, data operations, or related technical areas
• Understanding of data replication and synchronization concepts
• Basic knowledge of application support or system troubleshooting
• Good problem-solving skills and willingness to learn in a fast-paced environment

Responsibilities

• Support the design, enhancement, and maintenance of data pipelines and systems to meet evolving business requirements
• Assist in monitoring and maintaining applications and infrastructure in line with service level expectations
• Contribute to defining and documenting technical requirements, with a focus on integration, performance, and scalability
• Collaborate with cloud and operations teams to monitor system performance and support capacity planning
• Help troubleshoot technical issues and support resolution of data or system-related challenges
• Participate in continuous improvement initiatives to enhance system reliability, efficiency, and data quality

Skills

Data pipelines

Troubleshooting

Team collaboration

Education

Bachelor's degree in CS/IS/Engineering

Tools

Informatica

Talend

Azure Data Factory

Job description

About The Role

We are looking for a motivated and detail-oriented Data Engineer to support the development and maintenance of data platforms and pipelines. In this role, you will work closely with cross-functional teams to ensure data systems are reliable, scalable, and aligned with business needs. This is a great opportunity to build your technical foundation while contributing to real-world data solutions.

About The Role

We are looking for a motivated and detail-oriented Data Engineer to support the development and maintenance of data platforms and pipelines. In this role, you will work closely with cross-functional teams to ensure data systems are reliable, scalable, and aligned with business needs. This is a great opportunity to build your technical foundation while contributing to real-world data solutions.

Key Responsibilities

• Support the design, enhancement, and maintenance of data pipelines and systems to meet evolving business requirements
• Assist in monitoring and maintaining applications and infrastructure in line with service level expectations
• Contribute to defining and documenting technical requirements, with a focus on integration, performance, and scalability
• Collaborate with cloud and operations teams to monitor system performance and support capacity planning
• Help troubleshoot technical issues and support resolution of data or system-related challenges
• Participate in continuous improvement initiatives to enhance system reliability, efficiency, and data quality

Requirements

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field
• Some hands-on experience or exposure to data engineering, data operations, or related technical areas (through internships, projects, or work experience)
• Understanding of data replication and synchronization concepts
• Basic knowledge of application support or system troubleshooting
• Good problem-solving skills and willingness to learn in a fast-paced environment

Nice to Have

• Exposure to ETL tools (e.g. Informatica, Talend, Azure Data Factory)
• Familiarity with data integration concepts
• Basic understanding of system performance monitoring
• Experience supporting or maintaining data applications or infrastructure

Equal Opportunity Statement

We are committed to building an inclusive and diverse workplace. We welcome applications from all qualified candidates regardless of age, race, gender, religion, marital status, disability, or other protected characteristics.