Data Engineer (JD#10668)

SCIENTE INTERNATIONAL PTE. LTD.; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading technology recruitment firm in Singapore is seeking a skilled Data Engineer to build and deploy data pipelines and scalable machine learning models. The successful candidate will collaborate with data scientists and software engineers, requiring at least 5 years of experience, proficiency in Python and SQL, and experience with BI tools like Power BI and Tableau. Interested candidates should send their resumes to [e-mail].

Qualifications

• 5 years of experience as a Data Engineer.
• Experience in designing, building, and maintaining scalable dashboards.
• Hands-on experience in Python and SQL.

Responsibilities

• Design and maintain cloud-based data platforms.
• Manage enterprise data warehousing.
• Build and maintain reliable data pipelines.

Skills

Data Engineering

Python

SQL

ETL/ELT

Business Intelligence tools

Education

Degree in Information Technology, Computer Science or related studies

Tools

Power BI

Tableau

Looker

BigQuery

Kafka

GCP

AWS

Job description

Job Summary

Seeking a talented Data Engineer to build and deploy data pipelines and scalable machine learning models. This role collaborates with data scientists and software engineers to translate research prototypes into robust, production-ready solutions.

Mandatory Skill Set

• Must have a Degree in Information Technology, Computer Science or related studies;
• Must have at least 5 years of experience as Data Engineer;
• Must have work experience in designing, building, and maintaining scalable and interactive dashboards using BI tools such as Power BI, Tableau, or Looker;
• Must have hands‑on experience in Python and SQL;
• Must have work experience in applying ETL/ELT tools and methodologies to prepare, transform, and load data into designated target systems.

Desired Skill Set

• Familiarity with data governance frameworks (e.g., DAMA-DMBOK) and regulatory compliance (e.g., GDPR, CCPA);
• Experience with other programming languages (e.g., Java, Scala, C++) is a plus;
• Experience in best practices such as DataOps and MLOps;
• Experience with big data technologies and cloud platforms such as BigQuery, Kafka, GCP, AWS and their data engineering and machine learning products and services;
• Strong understanding of software development best practices, including version control (Git), testing, and CI/CD;
• Cloud and data certifications are advantageous.

Responsibilities

• Design and maintain cloud-based data platforms for large-scale ingestion, storage, and processing;
• Manage enterprise data warehousing and centralized data solutions;
• Evaluate and integrate new data technologies to enhance platform capabilities;
• Support infrastructure for enterprise data platforms and machine learning workloads;
• Build and maintain reliable data pipelines for ingestion, transformation, and processing;
• Implement data quality validation and monitoring to ensure accurate and timely data;
• Apply ETL/ELT methodologies to transform and load data into target systems;
• Develop scalable dashboards and reporting solutions using BI tools (Power BI, Tableau, Looker);
• Implement data governance practices, including cataloging, lineage, and access controls;
• Collaborate with stakeholders and team members while proactively resolving technical issues.

Should you be interested in this career opportunity, please send in your updated resume to [e-mail] at the earliest.

When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the SCIENTE Group Privacy Policy, a copy of which is published at SCIENTE’s website (https://www.sciente.com/privacy-policy).

Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

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