Principal Data Engineer

Join one of the world’s largest integrated energy companies, with 85,000 employees across more than 70 countries helping provide energy directly or indirectly to approximately 1 billion people each year. With a global portfolio spanning oil and gas, LNG, fuels, lubricants, chemicals, electric vehicle charging, and lower-carbon energy solutions, the organization offers opportunities to contribute to large-scale projects while building a career in a culture focused on innovation, safety, collaboration, and operational excellence. The Principal Data Engineer will serve as a hands-on technical leader responsible for designing future-ready data foundations and end-to-end solutions for a major new freight technology platform. This role will define data architecture and strategy while developing solutions that ingest, integrate, host, and distribute data across multiple systems. As a subject matter expert, the Principal Data Engineer will also influence engineering standards, mentor the broader data engineering community, and partner with technical and business leaders to advance data-driven decision-making. Responsibilities • Design scalable data foundations, platforms, and end-to-end data engineering solutions. • Define data architecture and strategy supporting a new enterprise freight and voyage management platform. • Develop data solutions that ingest, integrate, process, host, and distribute information across multiple integration points. • Design data models and master data processes supporting freight operations and business reporting. • Lead technical delivery across cloud and enterprise technologies including Azure, AWS, and SAP. • Develop and optimize ELT pipelines, data integration frameworks, and ingestion processes. • Evaluate middleware and integration solutions connecting enterprise systems with external voyage management technology. • Partner with business and technology stakeholders to translate complex requirements into scalable technical solutions. • Establish engineering standards and drive improvements in implementation speed, quality, cost, and value delivery. • Support change, incident, and problem management processes. • Lead knowledge-sharing initiatives through technical communities, presentations, training, Centers of Excellence, and Communities of Practice. Qualifications • Expert-level experience with AWS, Azure, and/or SAP, with deep expertise across multiple core technologies. • Expert-level knowledge of ELT, data modeling, data integration, and data ingestion. • Hands-on experience designing and delivering enterprise-scale data platforms and architectures. • Experience with data manipulation and large-scale data processing. • Proficiency with technologies such as Data Factory, Databricks, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, and Redshift. • Experience with GitHub, GitHub Actions, Azure DevOps, SonarQube, and PyTest. • Experience integrating data across complex enterprise applications and external technology ecosystems. • Ability to communicate data architecture and engineering concepts to both technical teams and business leadership. • Experience leading technical communities and establishing data engineering standards and best practices. • Project management, Scrum leadership, BPC/Planning, team leadership, or MKDocs experience is a plus.