Senior Data Engineer

In this role you will design and scale enterprise data platforms to ensure trustworthy data for decision-making. You’ll shape data governance, build robust pipelines, and collaborate with business stakeholders to embed data-driven thinking across functions. You’ll lead technical delivery, mentor engineers, and communicate complex insights to senior partners. This is a chance to impact data foundations in the energy sector within a supportive, collaborative environment.

• ESPP
• life assurance
• income protection
• critical illness cover
• private medical insurance
• dental care

• Design and build scalable data solutions and pipelines for enterprise data platforms
• Develop data models, manage ELT/ETL processes and ensure 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 and guide 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 Centers of Excellence (CoE) and Communities of Practice (CoP)

• 8+ years of experience in data engineering or related roles
• Master-level expertise in AWS or Azure data ecosystems
• Strong proficiency in ELT, data modeling and data integration
• Skilled in data manipulation, processing and orchestration frameworks
• 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 in commodity trading and supply operations, ideally within the energy sector

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