Senior Data Engineer

In this Senior Data Engineer role, you will design and optimize scalable data foundations and analytical solutions to enable data-driven decision-making and business value. You will act as a subject-matter expert, promote modern data engineering practices, and mentor junior engineers while collaborating with stakeholders to translate data strategy into actionable outcomes. You’ll drive data foundation initiatives, ensure governance and quality, and present insights to key partners. This position blends hands-on engineering with cross-functional influence in a hybrid London setting.

• Design and build scalable data solutions and pipelines for enterprise data platforms
• Develop data models and manage ETL/ELT processes with data quality and compliance
• Collaborate with stakeholders to embed data-driven thinking across business functions
• Implement efficient data ingestion and integration workflows across cloud environments
• Drive adoption of data foundation initiatives and best engineering practices
• Coordinate change, incident, and problem management processes
• Mentor junior data engineers on solution design and technical practices
• Present data insights, architecture reports, and recommendations to key stakeholders
• Ensure implementation efficiency and consistent project delivery standards
• Contribute to internal communities, including CoE and CoP initiatives

• 8+ years of experience in data engineering or related roles
• Master-level expertise in AWS, Azure, or SAP data ecosystems
• Strong proficiency in ELT, data modeling, and data integration
• Hands-on experience with Data Factory, Databricks, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, and PyTest
• Proficiency with GitHub, GitHub Actions, and Azure DevOps
• Strong communication and collaboration skills to align technical and business stakeholders
• Proven ability to lead solution delivery and enhance team performance
• Bachelor’s degree in Computer Science, Data Engineering, or a related discipline
• Experience managing agile or scrum teams
• Exposure to BPC or other enterprise planning tools
• Experience working within external technical ecosystems and vendor environments
• Familiarity with MKDocs documentation tools
• Experience in commodity trading and supply operations, ideally within the energy sector

• communication
• collaboration
• leadership
• ELT
• data modeling
• data integration