Your role
Our major Oil & Energy Client is looking for a Senior Data Engineer who will be accountable for designing, building, optimizing, and supporting scalable, reliable, and governed data solutions that enable operational excellence, analytics, and decision-making across LNG trading and operations. This a senior individual contributor with strong hands-on expertise across data engineering, data integration, and data platform delivery, combined with the ability to partner effectively with business and IT stakeholders in our Client's LNG business.
Data Engineering & Platform Delivery
- Design, build, and implement robust data pipelines, lakehouse patterns, and integration solutions capable of handling high volume, velocity, and variety of data
- Deliver optimized and performance-driven data solutions using cloud-native and modern data engineering practices
- Develop POCs, prototypes, and production-grade solutions, including complex SQL queries and large-scale data processing. Apply performance optimization techniques using PySpark, SQL, and distributed data processing frameworks.
Data Integration & Interface Management
- Design, build, and maintain data interfaces between Shell Energy LNG applications, enterprise platforms, legacy systems, and external partners
- Manage complex cloud-to-legacy and event-driven integration scenarios using scalable pipelines and streaming technologies
- Support day-to-day operational stability of data flows, including incident analysis, troubleshooting, and resolution in line with Shell support processes.
Data Lineage, Quality & Controls
- Define, document, and maintain end-to-end data lineage across upstream source systems and downstream consumers
- Implement data quality controls, validation rules, and exception handling aligned with Shell's governance, risk, privacy, and security frameworks
- Contribute to enterprise data initiatives such as data catalogues, master data management, and metadata management.
Collaboration & Stakeholder Engagement
- Act as a data engineering subject-matter expert, working closely with business stakeholders, product owners, architects, and delivery teams
- Support backlog refinement, solution estimation, technical design, and release planning within Agile delivery frameworks
- Promote data engineering best practices, standards, and reusability across teams.
Operational Excellence & Continuous Improvement
- Drive improvements in reliability, observability, scalability, and performance of data pipelines
- Identify opportunities for simplification, standardization, and modernization within the data and integration landscape
- Contribute to functional excellence through the definition and maintenance of standards, methods, tooling, and patterns.
You are what we are looking for if you:
- Have 8-10+ years of relevant experience in Data Engineering and Data Integration roles
- Have proven experience delivering enterprise-grade data platforms and pipelines in cloud environments
- Are an expert in Azure, Azure Data Factory (ADF), data pipelines, Azure Data Lake Storage (ADLS), Databricks, PySpark, Python, and Kafka, with working knowledge of databases including Cosmos DB and MongoDB
- Are proficient in data modelling
- Have experience implementing performance optimization techniques using PySpark and SQL
- Have experience working with source control technologies (e.g., GitHub, Azure DevOps) and with build and release pipelines
- Have hands-on experience delivering digital solutions such as enterprise data platforms, and rolling out and setting up Master Data Management, Data Catalogue, and analytics solutions to support business decision-making
- Have experience working in Agile teams, applying best patterns and practices with an eye for quality and standards
- Have experience with Microsoft Power Platform, specifically Power Automate
- Are a Databricks Certified Associate / Professional Data Engineer (preferred)
- Have experience with LNG business stakeholders and data products (preferred)
