Data Engineer - 6 months Contract | Financial Services

Manpower Staffing Services; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A technology staffing agency in Singapore is seeking a Senior Data Engineer to design and build scalable data solutions. The ideal candidate should have over 3 years of experience in data engineering, expertise in data pipelines, and proficiency with big data technologies like Spark and AWS. This role involves collaboration with data scientists and optimizing data workflows to support business needs.

Qualifications

• At least 3 years of experience in data engineering.
• Experience in UNIX environment and Git Flow.
• Hands-on experience with big data products and platforms.

Responsibilities

• Build and optimize automated data pipelines.
• Design efficient data architectures for analytics and AI.
• Support cloud migration and ensure data quality.

Skills

Data pipeline optimization

Data architecture design

CI/CD automation

Collaboration with data scientists

Education

Degree in Information Technology, Mathematics or Statistics

Tools

Spark

Hadoop

AWS

Jenkins

Bitbucket

Job description

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:

• 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.
• 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 least 3 years of experience in data engineering.
• 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 **********@manpower.com.sg (R1434374), stating the position as the subject title in the email.

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