Data Engineer – Contract

MANPOWER STAFFING SERVICES (SINGAPORE) PTE LTD; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A leading recruitment firm in Singapore is looking for a Senior Data Engineer. The role involves designing and maintaining data solutions to support analytics and AI applications. Candidates should have a degree in IT or related field, with at least 3 years of experience in data engineering and expertise in Python and SQL. Interested applicants should send their resumes to the specified email address.

Qualifications

• At least 3 years of experience in data engineering.
• Experience with cloud platforms like AWS or Databricks.
• Hands-on experience with big data products.

Responsibilities

• Build and optimize automated data pipelines.
• Support cloud migration efforts for data workflows.
• Develop CI/CD pipelines for data pipeline deployments.

Skills

Python

Java

SQL

Linux Shell

Git Flow

Education

Degree in Information Technology, Mathematics or Statistics

Tools

Spark

Hadoop

Jenkins

Bitbucket

Airflow

NiFi

Job description

About the Role

As a Senior Data Engineer, you will focus on designing, building, and maintaining scalable data solutions that support business needs and AI applications. You will play a key role in:

1. Data Pipeline & Architecture Development

• Build and optimize automated data pipelines for ingesting, transforming, and processing large datasets.
• Design efficient data architectures that support analytics, machine learning, and real-time applications.

1. Cloud Migration & AI Enablement

• Support cloud migration efforts, transitioning on-premises data workflows to cloud-based platforms like Databricks.
• Collaborate with data scientists to improve feature selection, feature engineering, and enable end-to-end AI workflows from model training to deployment and monitoring.

1. CI/CD & Automation

• Develop CI/CD pipelines to streamline data pipeline deployments and ensure stable, automated workflows.
• Improve monitoring and observability to maintain system reliability.

1. Collaboration & Business Impact

• Work with data scientists, product teams, and platform engineers to align data solutions with business objectives.
• Ensure data quality, security, and compliance with industry standards.
• Contribute to best practices in data governance, documentation, and automation.

Qualifications & Skills

• Degree holder of Information Technology, Mathematics or Statistics with least 3 years of experience in data engineering.
• Expert in Python, Java, SQL, Linux Shell.
• Experience in UNIX environment, Git Flow, CI/CD automation, Jenkins, Bitbucket.
• Hands-on experience with Spark, Hadoop platforms & tools (Hive, Impala, Airflow, NiFi), Spring Boot, etc. to build big data products & platforms.
• Proficiency with a modern cloud or hybrid-cloud stack (AWS, Databricks, Cloudera, etc).
• Experience in building and deploying production-level data-driven applications and data processing workflows or pipelines.

Interested candidates may send in their resume and cover letter directly to [e-mail] (R1434374), stating the position as the subject title in the email.

ireli Gem Mejia Cabria | EA License No. 02C3423 | Personnel Registration No. R1434374

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