Data Engineer

Optimum Solutions Pte Ltd; Singapore; On-site; SGD 100,000 - 170,000; Full time

Job summary

Optimum Solutions Pte Ltd in Singapore is seeking a capable Data Engineer to design, build, and maintain reliable data pipelines and processing workflows. You will integrate data from APIs, databases, enterprise apps, cloud services, and files to deliver scalable data ingestion, transformation, and serving solutions.

We expect 4–7 years of related experience, strong Python and SQL skills, and hands-on experience with ETL pipelines, cloud platforms, and CI/CD practices.

Qualifications

• 4–7 years of relevant experience in Data/Cloud/Platform engineering or related technical discipline.
• Strong programming in Python and SQL with data manipulation experience.
• Familiarity with data pipelines, batch/stream processing, and data quality concepts.

Responsibilities

• Design, build, and maintain reliable data pipelines and data-processing workflows.
• Integrate data from APIs, databases, enterprise apps, cloud services and files.
• Develop scalable solutions for ingestion, transformation, storage, and serving of data.
• Support data platforms across cloud, on-premise, or hybrid environments.
• Implement monitoring, data-quality checks, error handling, and operational controls.

Skills

Python

SQL

ETL pipelines

Tools

Docker

Terraform

CI/CD

Job description

• Design, build, and maintain reliable data pipelines and data-processing workflows.
• Integrate data from APIs, databases, enterprise applications, cloud services, files, and other source systems.
• Develop scalable solutions for data ingestion, transformation, storage, processing, and serving.
• Support data platforms operating across cloud, on-premise, or hybrid environments.
• Implement appropriate monitoring, data-quality checks, error handling, and operational controls.
• Automate deployment and operational processes using CI/CD and Infrastructure as Code where applicable.
• Support production systems, troubleshoot issues, and contribute to root-cause analysis and continuous improvements.
• Work closely with application, infrastructure, platform, security, and business teams to deliver reliable data solutions.
• Maintain relevant technical documentation, operational procedures, and engineering standards.

Qualifications

• Around 4–7 years or more of relevant experience in Data Engineering, Cloud Engineering, Platform Engineering, DevOps, SRE, or a related technical discipline.
• Experience with cloud platforms such as AWS and/or Azure.

Required Skills

• Python and SQL
• ETL / ELT and data pipelines
• Batch, streaming, CDC, or event-driven processing
• Data modelling and data quality
• Cloud data platforms and services
• Logging, monitoring, telemetry, or observability
• CI/CD and Infrastructure as Code
• Docker or containerised environments
• Good understanding of software engineering practices, system reliability, scalability, security, and production support.
• Strong problem-solving skills and the ability to work across technical teams.

Preferred Skills

• Experience working across on-premise and cloud environments.
• Experience with streaming or messaging technologies such as Kafka or MQ.
• Experience with Terraform, Ansible, or equivalent automation tools.
• Familiarity with observability or monitoring platforms such as Grafana, Prometheus, Dynatrace, Elastic, or equivalent.
• Experience working in large-scale enterprise or Government environments.