Data Engineer (Integrations)

Location : Singapore Office Yinson is a dynamic, equal opportunity employer with great organisational culture where people are valued and empowered to deliver powerful solutions. 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!