Data Engineer (Integrations)

Yinson; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A dynamic technology company located in Singapore is seeking a Data Engineer (Integrations) to design and maintain robust data pipelines. The ideal candidate should have a Bachelor's degree in a relevant field and at least 3 years of experience in data engineering. Key responsibilities include developing ETL architectures, ensuring data quality and reliability, and collaborating with analysts for effective data solutions. Candidates proficient in SQL and either Python or Java are encouraged to apply.

Qualifications

• Bachelor’s degree in a relevant field is required.
• At least 3 years of experience in data engineering or system integrations.
• Must have strong SQL skills for data handling.

Responsibilities

• Design, build, and maintain data integration pipelines.
• Develop scalable ETL / ELT architectures for analytics.
• Ensure data quality and reliability across multi-cloud environments.
• Collaborate with analysts to ensure data pipeline reliability.

Skills

Data pipeline design

ETL / ELT architecture

SQL proficiency

Python or Java

Data quality assurance

Analytical skills

Problem-solving

Communication skills

Education

Bachelor’s degree in Computer Science or related discipline

Job description

Location: Singapore Office

Job Summary

The Data Engineer (Integrations) is responsible for:

• Designing, building, and maintaining robust data integration pipelines that connect operational, engineering, and enterprise systems.
• Developing scalable ETL / ELT architectures that transform raw data into reliable, machine-readable formats for analytics, BI, and digital solutions.
• Ensuring data quality, reliability, security, and interoperability across multi-cloud and hybrid environments.
• Supporting asset lifecycle data requirements across Business Development, Project, and Operations phases.

Key Responsibilities

• Design, develop, and maintain automated data pipelines for ingesting, transforming, and contextualising data from multiple internal and external sources.
• Build, operate and maintain system-to-system data integrations, including SQL ↔ JSON data transformations, via APIs, and across on-prem, cloud and SaaS systems of record.
• Design, develop, test and implement data architectures to support analytics, modelling, digital workflows, and AI-enabled use cases including knowledge-retrieval pipelines for RAG.
• Ensure data quality, validation, and reliability metrics are defined, monitored, and enforced. Support real-time and batch data acquisition systems, ensuring availability, performance, and production scalability.
• Prepare and structure data for descriptive, predictive, and prescriptive analytics. Support the development and maintenance of medallion architecture data design patterns.
• Coordinate integration requirements during Business Development and Project phases, ensuring downstream analytics readiness.
• Enable secure access to data for dynamic and steady-state simulations, including for Operator Training Simulators (OTS), through to operational handover.
• Work closely with Data Analysts and Digital Solutions Analysts to ensure downstream dashboards, AI solutions, and workflows are built on reliable data pipeline foundations.
• Plan and document technical specifications, integration designs, and data flows. Identify integration risks, performance bottlenecks, and data gaps, and propose mitigation strategies.
• Contribute recommendations on process improvements, architecture enhancements, and new technologies.
• Monitor emerging risks and support prevention, mitigation, and management initiatives.

Requirements

• Bachelor’s degree in Computer Science, Computer Engineering, Information Technology, or related discipline.
• Minimum 3+ years’ experience in data engineering, system integrations, or data platform development.
• Strong proficiency in SQL-based data platforms.
• Proficiency in Python or Java for data processing and automation.
• Experience designing, building, and maintaining data processing and integration systems.
• Strong analytical, problem-solving, and communication skills.
• Ability to learn new technologies quickly and apply them effectively

If you want to team up with us as we dream and stride towards a better tomorrow – we would love to hear from you!