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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates strong proficiency in Python and SQL for developing production-quality software and data pipelines, with a focus on automating settlement processes and enhancing reporting solutions in the energy trade lifecycle. Capable of collaborating across multiple teams to deliver analytical tools and applications that support business-critical operations.
Highest-signal resume keywords
Python ProficiencySQL ExpertiseGit/GitHub KnowledgeAzure / Microsoft Fabric FamiliarityEnergy Market Understanding
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Pipeline DevelopmentAutomated Reporting SolutionsAPIs DevelopmentAutomated Reconciliation ToolsError Handling and MonitoringTesting and Code ReviewData AnalysisComplex Dataset ManagementSoftware Development PracticesAnalytical Tool Development
Soft Skills
Analytical Problem-SolvingEffective CommunicationProactive OwnershipCollaboration
Tools & Technologies
Microsoft FabricAligne (ETRM)AzureDashboardsAutomated Controls
Industry Keywords
Energy Trade LifecyclePower Settlement RulesElexonBSCCommercial FinanceQuantitative Analytics
Tech Stack
Tools & technologiesAzurePythonSQL
About the role
Key responsibilities & impact- Take technical ownership of data flows, applications, automated controls and reporting solutions across the energy trade lifecycle.
- Automate settlement processes across power, gas, carbon, BESS and ancillary services.
- Build and improve applications and automated reporting for position monitoring, P&L, gross margin analysis and Commercial Finance.
- Define data requirements, collaborate with Data Architecture to make data available in Microsoft Fabric, and build Python applications and analytical tools.
- Support integration between Aligne (ETRM), Microsoft Fabric, external market operators and internal systems.
- Develop automated reconciliation, validation and exception-management tools.
- Replace spreadsheet-based processes with scalable applications, dashboards and analytical tools.
- Design reliable applications and data pipelines with monitoring, error handling, controls and recovery processes.
- Apply Git-based version control, testing, code review, documentation and deployment practices.
- Develop understanding of TTEP’s trading, operational and settlement processes and relevant GB energy market arrangements.
- Collaborate with Settlements, Commercial Finance, Trading, Quantitative Analytics, IT, Data Architecture and external technical providers.
- Support credit exposure, collateral monitoring and wider Commercial Finance analytics.
- Contribute to Trading tools and analytical applications alongside Trading and Quantitative Analytics teams.
Requirements
What you’ll need- Strong proficiency in Python and SQL, with experience working with databases and large datasets.
- Strong working knowledge of Git/GitHub and modern software development practices, including testing, code review and documentation.
- Experience developing production-quality software, APIs, data pipelines and system integrations.
- Experience delivering medium or large-scale software, data or analytical projects from requirements through to implementation.
- Experience building solutions that support business-critical or operational processes.
- Experience handling time-series, metering, transactional, financial or other complex operational datasets.
- Familiarity with energy markets (power/gas) or power settlement rules (e.g. Elexon, BSC) is desirable.
- Experience with Azure / Microsoft Fabric is desirable.
- Strong analytical and problem-solving skills.
- Commercial curiosity and interest in understanding the full energy trade lifecycle.
- Ability to communicate complex technical concepts clearly to technical and non-technical stakeholders.
- Ability to collaborate across Commercial Finance, Trading, Quantitative Analytics, IT, Data Architecture and third-party software providers.
- Proactive, self-starting approach and ability to take ownership through implementation and ongoing improvement.
- Degree qualified (or equivalent) in Computer Science, Software Engineering, Engineering, Mathematics, Physics, Data Science, Quantitative Finance or another highly analytical discipline.
Benefits
Comp & perks- No specific employee benefits, perks, or compensation extras are stated.
- Recruitment agencies will be contacted selectively at the employer’s discretion; agencies are asked not to contact the employer regarding this vacancy.