Lead Data Engineer

We're looking for aLead Data Engineer to join our team in London in a hybrid working mode. If you thrive on building connections across disciplines and shaping how organizations use data, this role puts you at the center of change. You will influence how data-driven thinking takes hold beyond IT, reaching into every business decision. The work matters because reliable, accessible data is what keeps the business moving forward.

Responsibilities

• Design and build data foundations and end-to-end solutions to maximize value from data
• Create a data-driven mindset within both IT and business stakeholder communities
• Serve as a subject matter expert and mentor junior engineers
• Convert vision and data strategy into IT solutions and deliver results
• Deliver and embed Data Foundation initiatives to support key business programs
• Coordinate change management, incident management and problem management processes
• Present reports and findings to key stakeholders as the subject matter expert on data analysis and design
• Drive implementation efficiency and effectiveness across pilots and future projects to minimize cost, increase speed and maximize value

Requirements

• Minimum 8+ years of experience in data engineering
• Technology expertise in AWS or Azure
• Strong proficiency in ELT processes
• Strong proficiency in data modeling
• Skill in data integration and ingestion
• Skill in data manipulation and processing
• Proficiency with GitHub Actions and Azure DevOps
• Experience with data platforms and tools such as Azure Data Factory, Databricks, SQL Database, Synapse Analytics, Stream Analytics, AWS Glue, Airflow, Kinesis, Redshift, SonarQube and PyTest
• Experience in commodity trading and supply operations, ideally within the energy sector
• Strong communication skills with both technical and business audiences and ability to work effectively in hybrid teams

Nice to have

• Experience in project management or running a scrum team
• Experience working with BPC or Planning
• Exposure to working with external technical ecosystems
• Experience with MKDocs documentation