551 to 575 of 615 Data Engineering Jobs in London

handles over 500 billion requests every day (for comparison Google serves an estimated 9 billion searches a day), all running in our own global data centers. Every member of our technology team has an enormous amount of autonomy in building and managing our systems to support and enable our … premises and cloud environments. As the first line of defense this team has ownership of operations engineering. Collaborating closely with IT, SRE, Network, and Data engineering teams, and key stakeholders across business, product, and software engineering teams. We play a crucial role in maintaining systems health, responding … issues, providing both internal and external teams with technical support and ensuring the issue remains in custody until resolution. Collaborate with product and software engineering teams to relay operational insights and requirements. Automation, Tooling & Research Continuously identify opportunities for optimization and present findings to technical leads and management. Research 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, favouring a highly … 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. You should be comfortable working with cloud 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 ❯

Graduate Software Engineer (Data & Infrastructure) London, United Kingdom At Modo Energy, we're on a mission to build the information architecture for the energy transition - we want to be the only place to come to for information on the global journey to net zero. Take a look at our … culture of a rapidly growing team. The role As a software engineer you will be trusted with responsibility day one, adding value to our data and infrastructure team. You will be responsible for developing new features and ensuring they are scalable, reliable, and efficient to meet future demands. We … are hungry to learn quickly. This position requires a proactive approach and readiness to introduce modern practices to development, monitoring, maintaining, and improving our data pipelines and infrastructure. We offer multiple career progression paths based on your interests and experience, whether that be in data engineering or More ❯

Referment has partnered with a systematic hedge fund who have recently opened up a new role in their Data Engineering team. Working directly with PM's, traders and quants, you will be responsible for building and maintaining the data infrastructure that fuels their research and trading strategies … to work close to the investment process as the company grows and expands into new asset classes. The role will involve building and maintaining data pipelines for their intraday and systematic trading desks as well as frameworks to guarantee accuracy and integrity of datasets which dictate efficacy of their … quantitative strategies. As such, the successful applicant must have strong Python development skills and at least 4 years of experience working as a Data Engineer within financial markets. Key Requirements 4+ years of experience building ETL/ELT pipeline using Python within financial markets (ideally for a systematic trading More ❯

Referment has partnered with a systematic hedge fund who have recently opened up a new role in their Data Engineering team. Working directly with PM's, traders and quants, you will be responsible for building and maintaining the data infrastructure that fuels their research and trading strategies … to work close to the investment process as the company grows and expands into new asset classes. The role will involve building and maintaining data pipelines for their intraday and systematic trading desks as well as frameworks to guarantee accuracy and integrity of datasets which dictate efficacy of their … quantitative strategies. As such, the successful applicant must have strong Python development skills and at least 4 years of experience working as a Data Engineer within financial markets. Key Requirements 4+ years of experience building ETL/ELT pipeline using Python within financial markets (ideally for a systematic trading 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 ❯

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 ❯

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 ❯

Docker, Linux/Unix CLI, Git, and testing. Experience with one of a major cloud platform (preferably AWS, or Azure platform). Knowledge of data governance and security best practices. Experience with Infrastructure as Code (IaC) tools like Terraform or CloudFormation It would also be great if you have … Basic familiarity with utilizing GPUs in the cloud environment Familiarity with monitoring tools and techniques for ML models and data pipelines Experience building APIs Demonstrable experience with modern CI/CD pipelines Knowledge of good DevOps and Data Engineering practices As a technology consultancy, we look for More ❯

concise, and informative content that meets the needs of the target audience. Key job responsibilities • Performs simple annotation-related tasks in a narrow ML data process area (e.g. audio, image, and/or video-file). Uses internal tools and software provided by team. • May participate in data … high internal quality of the processes by performing quality audits/verification. • Meets daily productivity and quality targets. Tracks queries related to annotation/data collection and share them with the relevant stakeholders to help solve them. • Track daily task completion status using recommended tools and provide individual status … reports. • Adhere to confidentiality & compliance requirements to ensure zero risk to customer data and Amazon. Helps test new SOPs and ML data tools. • Providing specific & timely feedback to streamline existing processes and help the team achieve more consistent results with high quality. • Offering remedial instruction in tool usage 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

in our Finance team, reporting to our Analytics Lead, and with significant exposure to our COO and teams across the company, including Treasury, Operations, Data Engineering and Markets. The role is full-time and hybrid. We have a new office in Borough Market, London - the Finance Analytics team … Key responsibilities Architect scalable financial models in dbt, ensuring performance and reliability Design and implement a robust system health framework for reliable, accurate financial data Lead the strategic redesign of financial dashboards for evolving business needs and product growth Become a Financial Data SME - someone who understands the … have: 5+ years working in an analytical role at a financial institution or tech startup Strong SQL skills, and able to handle large, complex data structures from multiple sources Experience scaling performant and reliable analytics systems - strong preference for dbt experience; proficiency with Python or R a plus Can More ❯

Skills- Celonis SQL Experience extracting and modelling data Process mining Experience Order to Cash/Procure to Pay Data Engineering/Analyst background (preferable not essential) Numerous mining engagements PowerBI, Tableau, dashboarding (all preferable not essential) Details- 3 month contract Outside IR35 Possible ad hoc travel to More ❯

I'm working with a key client of ours here at TRG who are looking to grow out their Data & Analytics function. My client are globally renowned for being a leader within their relative field. Whilst they are a very well recognised house hold brand, they are also known … tech enthusiasts to bring out the best in technology by utilising the latest technologies available on the market. This role is sat within the Data engineering team. Whilst this is a lead role, the expectation is that this is very much about leading from the front and being … in the trenches of engineering & Development. This is a hands on role where the successful applicant will be building pipelines but also being heavily involved in designing architectures for an array of projects where greenfield snowflake implementations will be taking place. This is a salaried position and depending on More ❯