926 to 950 of 1,024 Data Engineering Jobs in England

Join us as a Market Risk Developer at Barclays, where you'll design, develop, and improve software using various engineering methodologies to provide business, platform, and technology capabilities for our customers and colleagues. To be successful as a Market Risk Developer, you should have experience with: Working as a … C#) with a functional programming background Working as a Full Stack Developer NoSQL database solutions, e.g., MongoDB Some other highly valued skills may include: Data Analytics or Data Engineering experience Familiarity with UI/Web development Experience working in an investment bank (preferably in Market Risk Technology … specific technical skills. This role will be based in our London office. Purpose of the role To design, develop, and improve software, utilizing various engineering methodologies to provide business, platform, and technology capabilities for our customers and colleagues. Accountabilities Development and delivery of high-quality software solutions using industry More ❯

s success ? allowing us to evolve underwriting intelligently and unlock massive scale. We're a multi-disciplined team, bringing together expertise in software and data engineering, full stack development, platform operations, algorithm research, and data science. Our squads focus on delivering high-impact features ? we favour a … effective technical solution. What you will bring You will have commercial experience of working across a modern web stack and will bring strong software engineering principles (SOLID, DRY, ER modelling) as well as experience with a server-side language, ideally JVM based and be comfortable working with cloud infrastructure More ❯

s success ? allowing us to evolve underwriting intelligently and unlock massive scale. We're a multi-disciplined team, bringing together expertise in software and data engineering, full stack development, platform operations, algorithm research, and data science. Our squads focus on delivering high-impact features ? we favour a … effective technical solution. What you will bring You will have commercial experience of working across a modern web stack and will bring strong software engineering principles (SOLID, DRY, ER modelling) as well as experience with a server-side language, ideally JVM based and be comfortable working with cloud infrastructure More ❯

At AKQA the Principal Engineer role is at the pinnacle of both software and cloud engineering & web development disciplines. An engineer who has achieved mastery of their craft and relishes new challenges and is comfortable researching, adopting and shaping new technologies, inside and out of their proven domain of … parallels from across the technology landscape. This role shares similarities with 'Staff Engineer' in other organisations and demonstrates thought and practical leadership within our engineering capability. AKQA believes in the imaginative application of art and science to create beautiful ideas, products and services. With an entrepreneurial and collaborative approach … security mechanisms and monitoring; on AWS, Azure or GCP cloud hosting. ROLE REQUIREMENTS Hands on design and development of large scale projects. Proactive in engineering communities and thought leadership both internally and externally. Line management and coaching of senior and junior engineers, as well as near and off-shore More ❯

Senior Data Scientist - Credit Risk London – Hybrid Up to £80,000 + Benefits Our client is a high-growth fintech revolutionising consumer finance through cutting-edge technology and data science. Backed by top investors and consistently rated as a market leader, they are transforming the way loans, credit … cards, and financial products are delivered - offering customers faster, more transparent, and seamless experiences. As a Senior Data Scientist, you’ll play a pivotal role in developing proprietary risk models that drive strategic decision-making and product innovation. Working within a multidisciplinary team, you’ll apply advanced machine learning … and enhance financial product offerings. Key Responsibilities Build and refine credit risk models using state-of-the-art ML techniques. Translate business challenges into data-driven solutions. Deploy and monitor models autonomously, without reliance on a separate ML engineering team. Clearly communicate insights and recommendations to stakeholders. What More ❯

a best-in-class product development cycle. Partner with the analytics implementation product owners to establish a roadmap of new analytics capture and further data enrichment. Utilise experimentation concepts to measure the efficacy of our feature development. Qualifications Experience in management or mentorship of other colleagues. Expert communicator, with … . Extensive experience working in a product/web/digital analytics position ideally within an ecommerce/retail business. An understanding of customer data platform capabilities and their role in the capture of customer/user journey data. Experience working with digital analytics event databases Experience working with … technology and data engineering functions. A keen interest in the broader industry developments and legislative changes affecting the capture of customer/user data. Additional Information Along with your benefits package we also offer a wide range of perks for our colleagues: Reward, Recognition and Opportunities Frasers Champion More ❯

a best-in-class product development cycle. Partner with the analytics implementation product owners to establish a roadmap of new analytics capture and further data enrichment. Utilise experimentation concepts to measure the efficacy of our feature development. Qualifications Experience in management or mentorship of other colleagues. Expert communicator, with … . Extensive experience working in a product/web/digital analytics position ideally within an ecommerce/retail business. An understanding of customer data platform capabilities and their role in the capture of customer/user journey data. Experience working with digital analytics event databases Experience working with … technology and data engineering functions. A keen interest in the broader industry developments and legislative changes affecting the capture of customer/user data. Additional Information Along with your benefits package we also offer a wide range of perks for our colleagues: Reward, Recognition and Opportunities Frasers Champion More ❯

plant sciences. 👥 Team Led by co-founders Dom (CTO) and Cecy (CEO), we are now a team of 12, including 2 ML engineers, 2 data engineers, 3 bioinformaticians. We primarily work together in person from our office in Spitalfields, London, 4 days per week. What we're looking for … As our first dedicated software engineering hire, you will play a pivotal role in ensuring that our scientists, ML engineers, and data engineers can work efficiently and at scale. You will take ownership of our target identification software tool, ensuring it is fully tested, scalable and seamlessly connected … with other elements of our platform. To do this you will work closely with the science and data teams to ensure that the tool is maximally useful for answering scientific questions and maximally flexible and modular to accommodate future improvements. Additionally, there is potential to explore novel technologies, such More ❯

plant sciences. 👥 Team Led by co-founders Dom (CTO) and Cecy (CEO), we are now a team of 12, including 2 ML engineers, 2 data engineers, 3 bioinformaticians. We primarily work together in person from our office in Spitalfields, London, 4 days per week. What we're looking for … As our first dedicated software engineering hire, you will play a pivotal role in ensuring that our scientists, ML engineers, and data engineers can work efficiently and at scale. You will take ownership of our target identification software tool, ensuring it is fully tested, scalable and seamlessly connected … with other elements of our platform. To do this you will work closely with the science and data teams to ensure that the tool is maximally useful for answering scientific questions and maximally flexible and modular to accommodate future improvements. Additionally, there is potential to explore novel technologies, such More ❯

CD. Experience in managing cloud services like Google Cloud and AWS. Bonus points Startup experience Experience with Python web services (e.g. FastAPI, Django). Data engineering experience using PyData stack technologies (e.g. NumPy, Pandas, etc.) Experience building machine learning systems with LLMs, RAGs utilising embeddings. Technology Frontend: Typescript More ❯

complex technical challenges and chances to innovate in a fast-growing and impactful area. Must have: BS or above in computer science or related engineering field. Experience developing sophisticated analytical code in Python for production systems. Proven ability to collaborate and solve problems in fast-moving teams as a … more relational and time-series databases. Knowledge of basic financial modeling in at least one asset class, ideally for derivatives. Nice to have: Financial engineering or related finance-related degree. Experience with equity or fixed income derivatives volatility models for risk and trading systems. Experience with data engineering … digital assets and their markets, both spot & derivatives products. Responsibilities: Building quantitative models for risk management, asset valuation, derivatives pricing, and simulations. Collaborating with data engineers and infrastructure team to incorporate quantitative functions into data pipelines and services. Automating number & regression testing and backtests to ensure top-quality More ❯

A passion for building scalable and impactful AI solutions. 🌟 Nice to Have Experience working with edge computing or low-latency AI systems. Knowledge of data engineering pipelines and real-time data processing. More ❯

A passion for building scalable and impactful AI solutions. 🌟 Nice to Have Experience working with edge computing or low-latency AI systems. Knowledge of data engineering pipelines and real-time data processing. More ❯

heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a … of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Databricks Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and … solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! Reporting to the Manager, Field Engineering. The impact you will have: Form successful relationships with clients throughout your assigned More ❯

collaborative solutions based on a commercial and analytical understanding. Working with stakeholders on continuing development of existing and new reporting processes, through automation of data processes and data engineering. Provide analytical expertise to support the delivery of data and digital products, working closely with the relevant business … teams. Support and encourage experimental approaches to technological and analytical challenges. Act as a data and analytical consultant to help identify opportunity, drive understanding or solutions across the business. Who you are Being passionate about analytics and demonstrate a detailed understanding of the customer, their behaviour, characteristics, and relationship … with M&S. Excellent knowledge of advanced SQL across big data tables. Knowledge of Python/R preferred. Knowledge of using Power BI, with a specific focus on automation of data processes and data engineering. Knowledge of manipulating and redefining data sets and applying analytical and More ❯

includes close collaboration with cross-functional teams to integrate machine learning models into scalable and secure production pipelines, enabling the delivery of real-time, data-driven solutions across various domains. Key Responsibilities • Model Deployment: Lead the deployment and scaling of LLMs and other deep learning models using inference engines … such as vLLM, Triton, or TGI, ensuring optimal performance and reliability. • Pipeline Engineering: Design and maintain automated pipelines for model finetuning, evaluation, versioning, and continuous delivery using tools like MLflow, SageMaker Pipelines, or Kubeflow. • Infrastructure Management: Architect and manage cloud-native, cost-effective infrastructure for machine learning workloads using … Performance Optimization: Implement monitoring, logging, and optimization strategies to meet latency, throughput, and availability requirements across ML services. • Collaboration: Work closely with ML researchers, data scientists, and engineers to support experimentation workflows, streamline deployment, and translate research prototypes into production-ready solutions. • Automation & DevOps: Develop infrastructure-as-code (IaC More ❯

includes close collaboration with cross-functional teams to integrate machine learning models into scalable and secure production pipelines, enabling the delivery of real-time, data-driven solutions across various domains. Key Responsibilities • Model Deployment: Lead the deployment and scaling of LLMs and other deep learning models using inference engines … such as vLLM, Triton, or TGI, ensuring optimal performance and reliability. • Pipeline Engineering: Design and maintain automated pipelines for model finetuning, evaluation, versioning, and continuous delivery using tools like MLflow, SageMaker Pipelines, or Kubeflow. • Infrastructure Management: Architect and manage cloud-native, cost-effective infrastructure for machine learning workloads using … Performance Optimization: Implement monitoring, logging, and optimization strategies to meet latency, throughput, and availability requirements across ML services. • Collaboration: Work closely with ML researchers, data scientists, and engineers to support experimentation workflows, streamline deployment, and translate research prototypes into production-ready solutions. • Automation & DevOps: Develop infrastructure-as-code (IaC More ❯

payment instruments via dashboards and alarms. The role involves handling critical activities essential for providing a seamless payment experience, working closely with Product, Tech, Data Engineering, and Analytics teams to resolve issues and implement long-term solutions. It also entails extensive interaction with external stakeholders such as processors … and banks, driving process improvements, managing large data/files, and automating non-value-added steps using RPA. The ideal candidate is a proactive, highly motivated self-starter capable of working independently in a fast-paced, ambiguous environment. They should be a quick learner, analytical, data-driven, and … able to communicate effectively, with strong verbal and written skills suitable for presenting to management. The role requires gathering data, driving projects to completion, and interfacing with internal teams in an agile setting. Key qualifications include: 1-3 years of experience in operations, e-commerce, or retail. More ❯

evaluate probabilistic pricing models across multiple sports. Contribute to product development, delivering independently once requirements are clearly set with relevant stakeholders. Carry out exploratory data analysis as part of modelling work, reporting back on findings and determining next steps. Contribute to model evaluation and backtesting to ensure pricing is … quality. Work closely with the Quant Model Development team as part of efforts to productionise POC models and functionality. Work closely with the Quant Data Engineering team as part of efforts to build out data assets to support modelling work. Write code that follows best practices and … or statistics. Demonstrable experience applying statistical modelling techniques to sporting events. Intermediate programming skills in Python and SQL. Excellent skills manipulating, exploring and analysing data, including with libraries such as pandas, Numpy and Scipy. Experience interacting with databases. A problem-solving growth mindset with the ability to pick up More ❯

heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a … of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Databricks Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and … solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! Reporting to the Manager, Field Engineering. The impact you will have: Form successful relationships with clients throughout your assigned More ❯

developing and integrating software solutions in the Network and Infrastructure space from orchestration through to zero-touch operations Extensive experience in working with large data sets and applying data engineering to deliver actionable insights to achieve critical outcomes Experience working with TMF open API specifications ( e.g.TMF640, TMF641 … scale Purpose of the role To drive technical excellence and innovation by leading the design and implementation of robust software solutions, providing mentorship to engineering teams, fostering cross-functional collaboration, and contributing to strategic planning to ensure the delivery of high-quality solutions aligned with business objectives. Accountabilities Provision … of guidance and expertise to engineering teams to ensure alignment with best practices and foster a culture of technical excellence. Contribution to strategic planning by aligning technical decisions with business goals, anticipating future technology trends, and providing insights to optimize product roadmaps. Design and implementation of complex, scalable, and More ❯

markets across the world. We appreciate that not everyone wants to work within Oil and Gas trading, however, part of the role of the data team is to look at more sustainable options for trading all kinds of commodities products. You’re going to be getting involved with a … number of newly launched data projects, with your initial project being to work on this migration. You’ll face off with the business, understanding what they need, discussing solutions with the Data Science team, then building out the best solution possible, whether it be with an off the … ll be responsible for implementing various cutting-edge technologies. In terms of your technical experience you’ll need to have worked in a commercial data engineering role for at least 8 years, this is a senior position. Strong Python, and SQL experience will be required. Capital Markets experience More ❯

markets across the world. We appreciate that not everyone wants to work within Oil and Gas trading, however, part of the role of the data team is to look at more sustainable options for trading all kinds of commodities products. You’re going to be getting involved with a … number of newly launched data projects, with your initial project being to work on this migration. You’ll face off with the business, understanding what they need, discussing solutions with the Data Science team, then building out the best solution possible, whether it be with an off the … ll be responsible for implementing various cutting-edge technologies. In terms of your technical experience you’ll need to have worked in a commercial data engineering role for at least 8 years, this is a senior position. Strong Python, and SQL experience will be required. Capital Markets experience More ❯

Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data … more at Job Description We are looking for a Lead Engineer to join our Ascend Cloud Foundation Platform team. We unlock the power of data to create opportunities for consumers, businesses and society. At life's big moments - from buying a home or car, to sending a child to … university, to growing a business exponentially by connecting it with new customers - we empower consumers and our clients to manage their data with confidence so they can maximize every opportunity. Reporting into our Senior Client Delivery Manager, you will join an established agile technical team, with a passion to More ❯

solutions for Trading, Risk Analysts, and Risk Managers. You will gain knowledge across a wide variety of asset classes while implementing and monitoring risk data controls and delivering risk analytics. You will be integral to the interaction between Risk Managers, Risk Development, and other central teams. Responsibilities: Build tools … framework used for monitoring and disseminating risk across the firm Work closely with subject matter experts from other teams to develop and continuously improve data flow and quality Work directly with Trading, developers and risk managers to monitor the health and utilization of risk systems to proactively detect/… resolve data issues Skills Required: Bachelor’s degree in computer science or equivalent degree Data Engineering experience. Experience in development in (Python, Java, C++) Machine learning, algo, strategy development or real-time trading development experience. Outstanding benefits package on offer to support you both professionally and personally. More ❯