Senior Data Engineer

What makes a number trustworthy enough to drive decisions that matter? The Senior Data Engineer role in London sits at the intersection of enterprise data platforms and the energy sector, where the stakes for accuracy and compliance are high. Data foundations are only as strong as the standards behind them, and every process must hold up under scrutiny. In this role, you shape how data is governed and interpreted across business functions.

The person in this position decides what reliable data means for everyone downstream. Responsibilities Design and build scalable data solutions and pipelines for enterprise data platforms Develop data models, manage ETL/ELT 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) Requirements 8+ years of professional 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 Nice to have 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 UK EPAM Employee Stock Purchase Plan (ESPP) Protection benefits including life assurance, income protection and critical illness cover Private medical insurance and dental care Employee Assistance Program Competitive group pension plan Cyclescheme, Techscheme and season ticket loans Various perks such as free Wednesday lunch in-office, on-site massages and regular social events Learning and development opportunities including in-house training and coaching, professional certifications, and courses If otherwise eligible, participation in the discretionary annual bonus program If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program *All benefits and perks are subject to certain eligibility requirements