Data Engineer

**Data Engineer**:

- 1 Jul 2025

**Overview**

We are seeking a highly motivated **Data Engineer** to join our Throughput Team at **Singapore LNG Corporation (SLNG)**. This role will be pivotal in designing, developing, and maintaining robust data infrastructure and analytical solutions that enable seamless commercial operations for the integration of our existing LNG terminal with the new Floating Storage Regasification Unit (FSRU) 2nd terminal. You will collaborate closely with commercial, operational, and technical teams to ensure data-driven decision-making that improves Throughput commercial operation efficiencies, optimise terminal throughput logistics and scheduling, and drive data-informed decision-making for both internal stakeholders and external customers.

**Roles and Responsibilties**
- Build and maintain scalable and reliable analytical solutions and dashboards to support commercial operations, throughput monitoring, and performance analysis.- Design, develop, and maintain scalable **data pipelines**, **ETL processes**, and **data integration** frameworks from commercial, operational, and external sources.
- Collaborate with Commercial and Operations teams to **model, analyse, and forecast terminal usage**, cargo schedules, and system capacity.
- Support the development of **real-time and batch analytics dashboards** for terminal throughput, slot utilisation, and performance benchmarking.
- Implement and maintain **data quality and validation frameworks** to ensure high-integrity inputs into business-critical decisions.
- Optimise data structures for **simulation tools**, commercial scenario modelling, and throughput planning systems.
- Assist in the development of **predictive models and optimisation algorithms** in collaboration with data scientists and business analysts.
- Keep up with emerging technologies and recommend tools or solutions to improve data analytics capabilities.
- **Database Management**- Administer and maintain Wallix MSSQL databases, including writing complex queries, stored procedures, indexing, and performance tuning.
- Support data integration efforts during the terminal expansion project, including real-time and batch data processing.
- **Automation & Scheduling**- Develop scripts and automation workflows (e.g., via SQL Agent, Python, or PowerShell) to streamline data loading and quality checks.
- Troubleshoot data issues and optimize data workflows to enhance system performance and reliability.
- **Data Quality & Governance**- Implement processes to validate, monitor, and improve data accuracy, completeness, and consistency across all sources.
- Develop and maintain documentation for data flows, architecture, and metadata. Implement **data best practices** within the team and ensure compliance with **data governance and cybersecurity policies**.

**Work Requirements**
- 3+ years of experience in a data engineering or data-intensive role, preferably in energy, utilities, shipping, or logistics.
- Proven experience as a Data Engineer, preferably within the energy, LNG, or industrial sector.
- Strong proficiency in SQL, Python, or similar programming languages for data processing.
- Experience with data pipeline and workflow management tools.
- Familiarity with cloud platforms and data warehousing solutions.
- Technical Skills:

- Proficient in SQL, Python, and modern ETL tools (e.g., Airflow, DBT).
- Experience with database MSSQL management.
- Familiarity with data modelling, API integration, and streaming technologies (Kafka, Spark, etc.) is advantageous.
- Experience working with visualisation tools like Power BI, Tableau, or similar.
- Familiarity with commercial or operational systems such as ERP, SCADA, TMS, or LNG scheduling tools is a plus.
- Experience in machine learning techniques and frameworks (e.g., scikit-learn, TensorFlow, PyTorch) to develop predictive models and advanced analytics is desirable
- Soft Skills:

- Strong analytical mindset with excellent problem-solving abilities.
- Ability to work cross-functionally and communicate effectively with both technical and non-technical stakeholders.
- Comfortable in a fast-paced, evolving environment where innovation and initiative are valued.
- Understanding of commercial operations and throughput metrics in terminal or energy infrastructure is advantageous.
- Strong communication skills to translate technical concepts for non-technical stakeholders.

**Education Requirements**
- Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related discipline.

**Why Join SLNG?**
- An opportunity to contribute to Singapore’s energy security and the region’s LNG ecosystem.
- Work on high-impact projects at the intersection of commercial strategy and operational excellence.
- Collaborative and innovative work culture with professional development opportunities.