Data Engineer (Python / Spark) | 6-Month Contract

MANPOWER STAFFING SERVICES (SINGAPORE) PTE LTD; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A leading staffing agency in Singapore is seeking a Data Engineer to build and optimize data pipelines and support cloud migration efforts. The ideal candidate will have experience with Spark, Hadoop, and proficiency in Python or Java. Responsibilities include collaborating with data scientists and ensuring data quality for business objectives. Interested applicants should email their resumes, ensuring confidentiality.

Qualifications

• At least 1-2 years of experience in data engineering.
• Experience building data-driven applications and workflows.

Responsibilities

• Build and optimize automated data pipelines.
• Support cloud migration efforts to cloud platforms.
• Develop CI/CD pipelines for data deployments.
• Work collaboratively with data teams to meet business goals.

Skills

Data pipeline optimization

Data architecture design

Cloud migration support

CI/CD pipeline development

Collaboration with data scientists

Data governance best practices

Proficiency in Python or Java

Experience with Spark and Hadoop

Hands-on experience with UNIX

Education

Degree in Information Technology, Mathematics, or Statistics

Tools

Spark

Hadoop

Airflow

Git

AWS

Jenkins

Job description

Responsibilities:

• 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.

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.

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.

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 at least 1-2 years of experience in data engineering.
• Hands‑on experience with Spark, Hadoop platforms & tools (Hive, Impala, Airflow, NiFi), Spring Boot, etc., to build big data products & platforms.
• Expertise in Python or Java.
• Experience in UNIX environment, Git Flow, CI/CD automation, Jenkins, Bitbucket.
• 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 Applicants, please email your resume to [e-mail] (R1441955), stating the position as the subject title in the email. All Applications will be handled with strict confidentiality.