Parkside

Senior Python Developer London Contract Energy / Trading Environment £400-£425 per day (Inside IR35) We are supporting a leading organisation operating within the energy and commodities space who are looking to engage a Senior Python Developer to support the build-out of advanced data-driven applications and analytical tools. This is a hands-on engineering role working at the intersection of data, analytics and front-office stakeholders. You will be responsible for building clean, modular Python applications, manipulating complex datasets, and delivering interactive dashboards used for commercial insight. The Role You will: Develop robust, production-grade Python applications Manipulate and analyse large datasets using pandas and numpy Build interactive dashboards using Plotly Dash Design modular, reusable and well-tested code Integrate with REST APIs and backend services Collaborate with commercial and technical stakeholders to translate requirements into scalable solutions This is a highly technical role suited to someone who enjoys building clean systems rather than quick scripts. Required Experience Hands-on Python development experience Strong object-oriented programming skills Deep experience with pandas and numpy for data manipulation Experience with virtual environments, dependency management and packaging Strong understanding of software engineering best practices including Git, unit testing (pytest), documentation and code quality tools Experience building data-driven applications in a commercial environment.

Our client is looking for a detail-focused individual with strong Excel skills to support our quality assurance processes and data validation efforts. The role involves ensuring data accuracy, performing quality checks, and supporting continuous improvement initiatives across projects. This is initially a 3 month temporary position that may last longer. The role will start ASAP Salary £15.50-£16.00ph DOE working 9.00-5.30 Monday to Friday, office based in Cannon Street EC4M Key Responsibilities: Use Microsoft Excel to analyse and validate data, ensuring accuracy and consistency. Perform quality assurance checks on datasets and processes to identify errors or discrepancies. Collaborate with teams to resolve data issues and improve data quality. Maintain documentation of quality assurance procedures and findings. Support process improvements by identifying areas where data integrity can be enhanced. Assist in preparing data summaries or insights as needed to support decision-making. Required Skills and Qualifications: Strong proficiency in Microsoft Excel, including formulas, pivot tables, and data manipulation techniques. Excellent attention to detail and analytical skills. Experience with quality assurance or data validation processes. Ability to identify data inconsistencies and troubleshoot issues effectively. Good communication skills for working with cross-functional teams. Ability to manage multiple tasks and prioritise work efficiently. Desirable Attributes: Familiarity with other data tools or quality frameworks is a plus. Proactive approach to problem-solving and continuous improvement.