Data Platform Engineer

Office in Singapore: Singapore

Data DevOps

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We are seeking a Data Platform Engineer to design, operate and enhance a global data platform supporting large-scale analytics and data science workloads. You will focus on platform reliability, automation, security and CI/CD for data pipelines across on-premise and hybrid environments. Here's your chance to collaborate closely with security, engineering, and cloud operations teams while applying DevSecOps and Agile practices to deliver resilient, high-performing data solutions. If you are currently a senior data platform or DevOps engineer, this role is for you.

Responsibilities

Operate and enhance global data platform components including VM servers, Kubernetes, Kafka and enterprise data applications
Design and implement automation for infrastructure, security and CI/CD to support ELT/ETL pipelines
Build resilient and observable data pipelines with health checks, monitoring, alerting and data quality controls
Investigate incidents, perform root cause analysis and drive continuous improvement in platform performance and stability
Apply DevSecOps and Agile methodologies to deliver secure, scalable solutions
Collaborate with security, cloud operations and engineering teams on architecture and standards
Stay current with industry trends to introduce new platform capabilities

Requirements

Proven experience designing or operating large-scale, fault-tolerant distributed systems
Strong experience with data platform technologies such as data lakes, streaming platforms and data pipelines
Hands-on expertise with Kafka, Kubernetes, Spark, distributed storage formats (Parquet, S3-compatible systems) and platform health management including monitoring and alerting
Proven experience in DevOps or CI/CD automation using tools such as Jenkins or Octopus
Strong programming skills in Python and Java, Scala or R, with experience building and supporting ELT/ETL pipelines and streaming or file-based ingestion
Hands-on experience with containerization and orchestration using Docker, Kubernetes and CI/CD image pipelines
Experience integrating data science platforms such as Dataiku
No visa sponsorship available

Nice to have

Experience with on-premise Big Data architectures and cloud migration initiatives
Exposure to configuration management and release tools like Ansible, Chef, XL Deploy and XL Release
Familiarity with enterprise analytics and BI tools and ML Ops workflows

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