Data Operations/Reliability 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

We are partnering with a leading global multi-strategy hedge fund to look for a Data Operations Engineer to join their team in Singapore.

You'll play a key role in ensuring the reliability and performance of the firm's critical data platforms by monitoring data pipelines, investigating data quality issues, and identifying anomalies. The role also focuses on enhancing observability, building automation, and continuously improving monitoring tools and processes to increase the resilience, scalability, and efficiency of the data ecosystem.

Requirements

• Strong technical foundation with experience working with data platforms
• Hands-on experience building automation solutions and driving continuous improvements to operational processes.
• A strong focus on enhancing platform reliability, availability, and resilience through automation, testing, and standardisation.
• Experience programming in Python or another modern language such as Java, Go, C#, or Scala.
• Strong SQL skills with experience working with large-scale datasets and data analysis tools (e.g. Pandas, Snowflake, Elasticsearch/Kibana).
• Exposure to orchestration and data workflow technologies such as Airflow, Dagster, Argo, Spark, or Hive.
• Familiarity with containerized environments using Docker and Kubernetes.
• Strong troubleshooting and problem-solving skills, with a methodical approach to investigating production issues.
• Excellent communication skills and the ability to collaborate effectively with global engineering teams.

Regrettably, only shortlisted candidates will be notified.

Business Registration Number: 200611680D |Licence Number: 10C5117 |EA Registration Number: R23115372