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.