Data Reliability & Automation Engineer

Ambition; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

Ambition is seeking a Data Operations Engineer for its Singapore office to ensure the reliability and performance of critical data platforms. You will monitor pipelines, investigate data quality issues and drive automation and observability improvements across the data ecosystem.

The role focuses on resilience, scalability and efficiency through automation, testing and standardized processes, collaborating with global engineering teams.

Qualifications

• Strong data platform experience and ownership of data workflows.
• Automation-focused with continuous improvement mindset.
• Reliability and resilience through testing, standardisation and tooling.
• Proficient in Python; other modern languages acceptable (e.g., Java, Go, C#, Scala).
• Strong SQL skills with large data sets; familiarity with data analysis tools.

Responsibilities

• Monitor data pipelines and investigate data quality issues.
• Enhance observability and build automation across the data stack.
• Improve monitoring tools and processes to increase resilience, scalability and efficiency.

Skills

Python

SQL

Automation

Observability

Communication

Troubleshooting

Team collaboration

Tools

Docker

Kubernetes

Airflow

Dagster

Spark

Hive

Snowflake

Elasticsearch

Kibana

Pandas

Job description

Ambition is seeking a Data Operations Engineer for its Singapore office to ensure the reliability and performance of critical data platforms. You will monitor pipelines, investigate data quality issues and drive automation and observability improvements across the data ecosystem.

The role focuses on resilience, scalability and efficiency through automation, testing and standardized processes, collaborating with global engineering teams.