Senior Data Engineer

Overview

In this role you will design, build, and optimize end-to-end data foundations and analytical solutions to enable data-driven decision-making and increase business value. You will act as a subject matter expert, driving technical excellence and mentoring junior engineers while collaborating with business stakeholders to translate data strategy into outcomes. You’ll work on scalable data platforms, data models, ETL/ELT processes, and integration across cloud environments. This is a hands-on role with leadership responsibilities, contributing to Centers of Excellence and shaping data engineering practices. You will join a hybrid team in London, delivering impactful data-driven insights at scale

Responsibilities

• Design and build scalable data solutions and pipelines for enterprise data platforms
• Develop data models, manage ETL/ELT processes, 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)

Key requirements

• 8+ years of professional 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
• 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
• Strong analytical decision-making and governance capabilities
• 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

• strong communication and collaboration
• leadership and mentoring
• analytical decision-making
• ELT
• data modeling
• data integration

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