Data Engineer [Gov Sector|up to $7,500|12 Months]

BGC GROUP PTE. LTD.; Singapore; On-site; SGD 76,000 - 91,000; Full time

Job summary

Data Engineer role at BGC GROUP PTE. LTD. supports a large-scale public sector data initiative in Singapore, focused on strengthening enterprise data platforms, quality, and reliable datasets for analytics.

You will design and maintain pipelines, collaborate with data scientists, and translate requirements into robust data solutions. Role emphasizes performance, reliability, and scalability of the analytics platform, with Day 2 operations and ongoing engagement with business stakeholders to

Qualifications

• Degree in Information Technology, Computer Science, Engineering, or a related discipline.
• Minimum 2 years of experience as a Data Engineer or similar.
• Familiar with data integration tools like Informatica, Talend or Denodo.
• Experience with MSSQL, PostgreSQL, MinIO or ChromaDB.
• Knowledge of data pipelines, ETL processes, and data quality practices.
• Strong analytical and collaboration skills.

Responsibilities

• Design, build, and manage data pipelines, ETL processes and workflows.
• Enhance data architecture to improve performance and scalability.
• Ensure data quality across enterprise data platforms and datasets.
• Provide Day 2 operations: monitoring, troubleshooting and tuning.
• Collaborate with data scientists and stakeholders to translate requirements into datasets.
• Stay updated on emerging data engineering tools and industry trends.

Skills

Data pipeline design

ETL processes

Data quality

Analytical thinking

Stakeholder communication

Collaboration

Education

Degree in IT/CS/Engineering

Tools

Informatica

Talend

Denodo

MSSQL

PostgreSQL

MinIO

ChromaDB

Job description

We’re Hiring: Data Engineer

Join a large-scale public sector data initiative focused on strengthening enterprise data platforms, improving data quality, and delivering reliable datasets to support analytics and informed decision-making.

Job Highlights

Contract Duration: 12 Months
Salary: Up to $7,500/month + AWS + Performance Bonus + Loyalty Bonus
Location: Central Singapore (Bukit Merah Area) and/or other locations based on operational requirements
Working Hours: Monday to Friday, 8:30am – 6:00pm
Qualification: Degree in Information Technology, Computer Science, Engineering, or a related discipline

About the Role

We are seeking an experienced Data Engineer to design, develop, and maintain enterprise data pipelines and integration workflows. You will play an important role in enhancing data architecture, improving data quality, and ensuring the performance, reliability, and scalability of the data analytics platform.

You will work closely with data scientists, application development teams, and business stakeholders to translate data requirements into accurate, reliable, and high-quality datasets.

Key Responsibilities

• Design, build, and manage data pipelines, ETL processes, and workflows using the organisation’s data analytics platform
• Enhance existing data management processes to improve data availability, reliability, and operational efficiency
• Enhance and optimise data architecture to improve platform performance, scalability, and maintainability
• Analyse data quality, identify issues, and implement suitable data quality tools, controls, and frameworks
• Improve data quality across enterprise systems and the central data platform
• Provide Day 2 operational support, including system administration, monitoring, troubleshooting, and performance tuning
• Monitor data platforms, tools, and pipelines to ensure system performance, availability, and compliance with applicable IT policies
• Implement enhancements and continuous improvements to the data analytics platform
• Collaborate with data scientists, application development teams, and business stakeholders to translate data requirements into high-quality datasets
• Stay updated on emerging data engineering tools, technologies, and industry trends to continuously enhance the data infrastructure

Who We’re Looking For

• Degree in Information Technology, Computer Science, Engineering, or a related discipline
• Minimum 2 years of experience as a Data Engineer or in a similar data engineering position
• Knowledge of and familiarity with the administration of data integration tools such as Informatica, Talend, or Denodo
• Familiarity with data APIs, ETL processes, and data integration techniques
• Experience with databases and storage technologies such as Microsoft SQL Server (MSSQL), PostgreSQL, MinIO, or ChromaDB
• Experience in data pipeline monitoring, troubleshooting, system administration, or performance tuning will be advantageous
• Strong analytical, problem-solving, and troubleshooting skills
• Good communication and stakeholder engagement abilities
• Ability to collaborate effectively with cross-functional technical and business teams
• Proactive, meticulous, and committed to delivering reliable and high-quality data solution