Data Operations Engineer

MARSHALL WACE SINGAPORE PTE. LTD.; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

MARSHALL WACE SINGAPORE PTE. LTD. in Singapore is seeking an ambitious Data Operations Engineer to own data quality, monitoring, and the reliability of thousands of data pipelines that drive investment decisions.

You will automate repetitive tasks, develop self-healing systems, and push for tooling improvements across regions, collaborating with Data Engineering to elevate observability. The role demands proactive problem-solving, a passion for automation, and applying AI to transform

Qualifications

• Broad technical knowledge with respect to processing and exploring data.
• Proactivity and initiative to challenge status quo and drive change across the team.
• Passion for automation and continual improvement with high-value automation opportunities.
• Strong interest in applying AI to transform operational workflows and automate manual processes.
• Intense focus on improving system availability and resilience through testing, standardisation and automation.
• Ability to build positive collaborative relationships across teams and geographies.
• Systematic and methodical approach to problem-solving and debugging.

Responsibilities

• Taking responsibility for data quality, monitoring, and anomaly detection.
• Digging into and exploring data; identifying features and issues; communicating findings clearly.
• Standardisation and development of monitoring methodologies, systems, tools and libraries, promoting standards across the firm.
• Automating and improving processes by eliminating manual support through self-healing systems and better tooling.
• Taking a data-driven approach to operational improvements—measuring system health, tracking incident trends, and guiding priorities.

Skills

Data quality

Monitoring

Automation

AI applications

Data pipelines

Proactivity

Collaboration

Problem solving

Tools

Monitoring platforms

Job description

About the role

We are looking for an ambitious, high-energy Data Operations Engineer to join our team in Singapore. We want someone with strong views on how things should work - and the technical ability and determination to make it happen. The ideal candidate looks at repetitive manual work and sees a problem to eliminate, not a process to tolerate. They are self-starting and relentless about improvement, with an infectious energy that pushes the team forward and brings people along with them. They push the boundaries of what can be automated, communicate openly across regions, and take genuine ownership of shaping how we operate.

Our Singapore team own the quality, reliability and observability of the thousands of data pipelines that drive investment decisions and facilitate critical operations, working closely with Data Engineering across all regions. The team builds and evolves the monitoring platform, drives automation that eliminates manual work, and is leveraging AI to step forward our data quality and support capabilities. The role is fast-moving and varied, with real scope to make our business fundamentally more resilient and enable a high velocity of change.

Your responsibilities

• Taking responsibility for data quality,monitoring, and anomaly detection.
• Digging into and exploring data; identifying features and issues; and communicating them to others clearly and concisely.
• Standardisation and development of monitoring methodologies, systems, tools and libraries, and promoting those standards toother teams across the firm.
• Automating and improving processes - identifying and eliminating manual support work through self-healing systems, better tooling, and pushing for changes that improve resilience and reliability.
• Taking a data-driven approach to operational improvements - measuring system health, tracking incident trends, and using evidence to guide priorities.

Our requirements

• Broad technical knowledge, particularly with respect to the processing and exploration of data and an affinity for learning about new technologies.
• Proactivity, energy and initiative to challenge the status quo, form strong views on how things should work, and drive change across the team.
• A passion for automation and continual improvement, with a track record of identifying high value automation opportunities.
• A strong interest in applying AI to transform operational workflows, automate manual processes, and explore capabilities that weren't previously possible.
• Intense focus on improving system availability and resilience through testing, standardisation and automation.
• Ability to build positive and collaborative relationships with colleagues across teams and geographies.
• Systematic and methodical approach to problem-solving and debugging.