Data Engineer (Contract)

Your role

Our Oil & Energy Downstream Client is looking for Data Engineer who will support their digital and data ambitions by ensuring reliable, secure, and high‑quality data flows across the LNG application and integration landscape. The role focuses on designing, maintaining, and supporting data interfaces, understanding data schemas, mapping data lineage, and ensuring adherence to the Client’s data and integration standards. You will enable business value by ensuring trusted data is available for trading, operations, optimization, and analytics use cases.

Responsibilities

Data Integration & Interface Management

• Design,build, and maintain data interfaces between the Client's LNG applications, enterprise platforms, and external partners (e.g., trading systems, scheduling systems, finance applications).
• Support day-to-day operations of data flows, ensuring stability, timely processing, and incident resolution aligned with the Client support processes.

Data Modeling, Schemas & Architecture Alignment

• Understand application and enterprise data models, schemas, and metadata structures, ensuring alignment with the Client's Data Architecture and IT standards.
• Partner with Architects and Data Managers to influence schema design, maintain documentation, and ensure compatibility through system changes and upgrades.
• Contribute to data modelling that supports the Client's LNG’s operational, commercial, and analytical requirements.

Data Lineage, Quality & Controls

• Define and maintain end-to-end data lineage across systems, ensuring traceability to source applications and downstream consumers.
• Work with Data Management, Risk Management, and Governance teams to ensure compliance with the Client's data standards, control frameworks, and privacy/security requirements.
• Implement automated data validation, data quality rules, and exception handling aligned with the Client's standards.

Collaboration & Stakeholder Engagement

• Engage with Product Owners, Business Analysts, Solution Architects, and external vendors to translate business needs into technical data integration solutions.
• Support the Client LNG software delivery process by contributing to backlog refinement, solution design, and release planning.
• Provide subject-matter expertise on data flows, interface dependencies, and data usage across the Client LNG processes.

Operational Excellence & Continuous Improvement

• Drive improvements in reliability, observability, and performance of data pipelines using the Client's monitoring and tooling standards.
• Support the move toward more automated, self-service, and reusable data integration capabilities.
• Identify opportunities for simplification and modernization within the data and integration landscape.

You are what we are looking for if you:

• Have 3-5 years of experience in data engineering, data integration or data architect within large-scale, complex environments.
• Have strong technical knowledge in:
  - Azure Data Factory, Logic App, event streaming (e.g., Kafka, data bricks)
  - SQL, relational and NoSQL database structures
  - Data modeling, metadata management, and data lineage tools
  - Python, Scala, or other scripting languages for pipeline design
• Have experience with cloud data platforms (Azure preferred) and modern engineering tooling.
• Have strong understanding of data quality, controls, governance, and metadata standards.
• Have proven ability to troubleshoot production issues and deliver stable, high-quality solutions.
  Have experience supporting applications in energy, commodities trading, or asset operations is advantageous.
• Have demonstrated ability to work in cross-functional teams and communicate with both technical and business stakeholders.