Data Platform Engineer

About Us:We are one of the world's leading commodities trading houses, leveraging sophisticated technology to trade a broad range of energy, metals, and agricultural commodities globally. Our success is driven by cutting-edge analytics, high-frequency data processing, and a commitment to innovation. We are now looking for a Senior Python Engineer to join our dynamic team in London and drive our next wave of technological advancements.Role Overview:As a Senior Python Engineer, you will be at the heart of our technology platform, building robust systems that enhance our trading strategies, risk management, and data analysis. You will collaborate closely with quants, data scientists, and traders, providing Python-based solutions that directly impact the profitability of the business. This is an exciting opportunity to work in a fast-paced, high-performance environment where you can push the boundaries of technology in financial markets.Key Responsibilities:Design, develop, and maintain, A leading global financial services firm in Greater London seeks a Lead KDB Developer to build next-generation infrastructure for futures trading. The role involves designing scalable KDB systems, collaborating with quantitative teams, and ensuring high-quality code. Ideal..., Data Platform Engineer - Warton - SC Cleared - 12 Month Contract About Your Role: As a Data Platform Engineer in a highly regulated environment, you will be responsible for designing, building, and maintaining secure and scalable data infrastructure that supports both cloud..., Job Description Senior Data Platform Engineer £90,000-£105,000 Remote (Quarterly meets in London) This is a standout opportunity to work on high-scale data challenges, designing the next generation of a cutting-edge analytics and AI platform. You will join a small,...

Data Platform Engineering Strategy Lead - Payments & Transaction Banking

Crisil Integral IQ

Crisil Integral IQ delivers solutions and analytics to top financial institutions, driving strategic transformation, risk optimization, and operational excellence. Our offerings across research, risk, lending, analytics and operations have empowered clients to navigate...

Data Platform Engineer - Cyber Data Platform

Tesco

Tesco UK * Welwyn Garden City * Hybrid * Full-Time * Apply by 03-Oct-2025 About the role As the Data Platform Engineer in the Cyber Data Platform team, you will contribute to the development and maintenance of a robust data platform that enables users to develop advanced..., A sports technology company is seeking a Java Engineer for its Data Platform Framework. You will develop backend services that power live sports events, optimising data pipelines and ensuring system performance in real-time environments. With offices in Basingstoke, London,..., A cutting-edge e-commerce company based in London is seeking a Staff/Principal Data Streaming Engineer to shape their technical strategy for a modern, cloud-native data platform. Ideal candidates will have strong experience in real-time data systems and a solid background...

highly efficient Python-based applications for commodities trading, risk management, and real-time data analysis.Build scalable, high-performance data pipelines to process large datasets from multiple sources, including real-time market data and fundamental data.Implement robust APIs and microservices to integrate trading systems, analytics platforms, and external data providers.Optimize performance and scalability of existing systems, ensuring low-latency trade execution and real-time risk monitoring.Collaborate with quants and traders to prototype and implement algorithms that enhance trading strategies and position management.Lead code reviews, enforce best practices, and mentor junior developers to foster a culture of excellence.Work in a collaborative, agile team environment to rapidly develop and iterate on new features and tools.Qualifications:5+ years of professional experience in Python development, with a focus on building performant, scalable systems.Deep understanding of core Python, including its strengths in data manipulation, asynchronous programming, and performance optimization.Experience with distributed systems, parallel computing, and high-performance processing of large datasets.Strong experience in data pipelines, working with tools such as Pandas, NumPy, and SQL/NoSQL databases.Proven experience working in fast-paced environments, ideally within trading, financial services, or high-frequency environments.Proficiency in developing RESTful APIs, microservices, and working with cloud-based architectures (AWS, GCP, or similar).Expertise in testing frameworks, CI/CD, and containerization technologies such as Docker or Kubernetes.Experience in managing and deploying services in Linux/Unix environments.Strong analytical and problem-solving skills, with a keen attention to detail and an ability to thrive under pressure.Fluency in English is required.Preferred Skills:Experience in commodities markets or broader financial markets.Knowledge of quantitative modeling, risk management, or algorithmic trading.Familiarity with big data technologies like Kafka, Hadoop, Spark, or similar.Why Work With Us?Impactful Work: Directly influence the profitability of the business by building technology that drives trading decisions.Innovative Culture: Be part of a culture that embraces new ideas, cutting-edge tools, and continuous improvement.Competitive Compensation: Industry-leading salary, significant performance-based bonuses, and comprehensive benefits package.Professional Development: Access to world-class learning and development resources, with opportunities for career growth.Work-Life Balance: Flexible working arrangements, generous holiday allowances, and a strong focus on well-being. Similar jobs

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