601 to 625 of 784 Data Pipeline Jobs in London

About the Role We’re hiring a Senior Sales Engineer with a proven track record of successfully selling software or data solutions to enterprise clients, particularly within the media and broadcasting sectors. You will collaborate closely with Sales Directors to present innovative solutions tailored to the unique needs … of Concept (PoC) projects to demonstrate the value of the platform in solving customer-specific challenges. Develop Deep Product and Technical Expertise in Data Solutions: Communicate technical concepts and solution designs to technical and non-technical audiences Gather customer feedback, identify market needs, and collaborate with Product and … Engineering teams to influence the product roadmap. Familiarity with data warehouses and cloud infrastructure (e.g., Snowflake, GCP, AWS, Azure). Comfortable with undertaking discovery or setting up small scale tests that would include: querying a DWH during POV/POCs, configuring a cloud storage bucket for a customer More ❯

complement Ripple's Payments, Custody and Stablecoin business units WHAT YOU'LL DO: Design and build scalable, low-latency microservices and event-driven data pipelines to support high-throughput trading systems. Champion data engineering best practices including schema evolution, data contracts, and data quality across event streams. Collaborate with cross-functional teams to model, publish, and maintain high-quality data products aligned with enterprise standards. Implement CI/CD pipelines, automated testing, infrastructure-as-code, and monitoring solutions to ensure operational excellence. Lead end-to-end software development efforts … languages (Golang, Scala, etc.). Proven track record building large-scale, low-latency distributed systems in trading or financial environments. Deep understanding of data streaming, order management systems, and modern persistence technologies (e.g., Aurora, DynamoDB). Experience working in front-office trading environments, ideally with exposure to FX More ❯

Commodities A leading systematic investment firm is seeking a skilled Quantitative Developer to join its Commodities trading team . The firm leverages advanced data analytics, technology, and scientific research to drive decision-making across global markets. This role offers the opportunity to work at the intersection of quantitative … research, data engineering, and cloud infrastructure in a collaborative, fast-paced environment. Key Responsibilities Design, build, and maintain cloud-native systems for managing alternative datasets, generating risk and PnL reports, and supporting the research and trading lifecycle. Develop quantitative tools in close collaboration with researchers and engineers, including … data pipelines for testing and integrating new data sources. Apply machine learning and statistical modeling techniques to solve problems in Agriculture, Metals, and Power markets. Monitor and improve existing research and trading infrastructure, identifying opportunities for performance, usability, and reliability enhancements. Ideal Candidate Profile 5+ years More ❯

Commodities A leading systematic investment firm is seeking a skilled Quantitative Developer to join its Commodities trading team . The firm leverages advanced data analytics, technology, and scientific research to drive decision-making across global markets. This role offers the opportunity to work at the intersection of quantitative … research, data engineering, and cloud infrastructure in a collaborative, fast-paced environment. Key Responsibilities Design, build, and maintain cloud-native systems for managing alternative datasets, generating risk and PnL reports, and supporting the research and trading lifecycle. Develop quantitative tools in close collaboration with researchers and engineers, including … data pipelines for testing and integrating new data sources. Apply machine learning and statistical modeling techniques to solve problems in Agriculture, Metals, and Power markets. Monitor and improve existing research and trading infrastructure, identifying opportunities for performance, usability, and reliability enhancements. Ideal Candidate Profile 5+ years More ❯

refreshing ETL jobs. They would be required to automate manual tasks and simplify them using Python. They would also be required to build data pipelines/dashboards, take up dive deep requests, make changes to existing analytical framework and provide data support to concerned stakeholders. The … good understanding of a business requirement and the ability to quickly get to the root cause of a particular reporting/BI/data issue and draft solutions for resolution specially during high demand period like peak planning. The ideal candidate would be high on attention detail, show …/BI/automation. Some of the key result areas include, but not limited to: Own the design, development and maintenance of ongoing data pipelines, queries, metrics, reports, analyses, dashboards, etc. to drive key business decisions. Ensure data accuracy by validating data for new More ❯

and emerging creators with users via recommendation algorithms. As an integral part of the squad, you will collaborate with engineers, research scientists, and data engineers in prototyping and productizing state-of-the-art ML models that allow us to find the right audience for content that is strategically … and refining Spotify's product by hands-on ML development Help drive optimization, testing, and tooling to improve quality of our recommendations Perform data analysis to establish baselines and inform product decisions Collaborate with a cross functional agile team spanning tech research, data science, product management … machine learning algorithms and techniques Who You Are You have professional experience in applied machine learning Extensive experience working in a product and data-driven environment (Python, Scala, Java, SQL, or C++, with Python experience required) and cloud platforms (GCP or AWS) You have some hands-on experience More ❯

WHO WE ARE Choreograph is WPP's global data products and technology company. We're on a mission to transform marketing by building the fastest, most connected data platform that bridges marketing strategy to scaled activation. We work with agencies and clients to transform the value … of data by bringing together technology, data and analytics capabilities. We deliver this through the Open Media Studio, an AI-enabled media and data platform for the next era of advertising. We're endlessly curious. Our team of thinkers, builders, creators and problem solvers … Cloud Run, et al.) and a clear understanding of when not to use them. Experience with message queues (SQS, PubSub, RabbitMQ etc.) and data pipelines (Kafka, Beam, Kinesis, etc.) You are an effective team player with effective communication, presentation and influencing skills. You have a passion for improving More ❯

and making a real impact! About the Role This is an exciting opportunity to join our growing Software Engineering team as a Senior Data Engineer. What you'll do Key responsibilities in this role will include (but not be limited to): Lead the design, development, and enhancement of … our data pipelines to support use cases such as reporting, data extraction/export, etc. Own the delivery of your code from design all the way to production. Collaborate with Software Engineers to develop the GSS platform. Collaborate with the Product team to provide expert Data … meets the required engineering standards. Support the GSS Engineering Lead in driving the strategic direction of the Software Engineering department. Support and mentor Data Engineering colleagues. What you'll need Required: Experience designing and building high throughput, scalable, resilient, and secure data pipelines. Experience with AWS More ❯

of experienced Clojure engineers responsible for a range of systems including: Page composition and rendering for article and channel pages A configuration platform Data pipelines pushing Oracle DB content into Elasticsearch Internal jobs and feeds systems Sitemaps Elements of a comments service These are monolithic, on-premise backend More ❯

secure, scalable, and compliant with internal governance. Act as a technical liaison, collaborating with third-party vendors to support their integration and master data management implementations. You will be able to define clear technical specifications and ensure work is delivered to a high standard. Work closely with architects … data engineers, and technical owners to ensure integrations align with enterprise architecture principles. Share knowledge with and mentor existing team members to strengthen integration capabilities within the development team. Implement all aspects of the integration lifecycle: secure design, development, error logging, debugging, monitoring, scalability, and testing. Develop Azure … based integration solutions using Logic Apps, Service Bus, Function Apps, API Management, and Data Factory. Build robust data pipelines and ETL solutions that support business processes and reporting needs. Conduct code reviews on other people's solutions to ensure quality, security, and maintainability. CANDIDATE PROFILE/ More ❯

secure, scalable, and compliant with internal governance. Act as a technical liaison, collaborating with third-party vendors to support their integration and master data management implementations. You will be able to define clear technical specifications and ensure work is delivered to a high standard. Work closely with architects … data engineers, and technical owners to ensure integrations align with enterprise architecture principles. Share knowledge with and mentor existing team members to strengthen integration capabilities within the development team. Implement all aspects of the integration lifecycle: secure design, development, error logging, debugging, monitoring, scalability, and testing. Develop Azure … based integration solutions using Logic Apps, Service Bus, Function Apps, API Management, and Data Factory. Build robust data pipelines and ETL solutions that support business processes and reporting needs. Conduct code reviews on other people's solutions to ensure quality, security, and maintainability. CANDIDATE PROFILE/ More ❯

than-real-time simulations to drive innovation in logistics, robotics, and beyond. You'll collaborate with a highly skilled team of engineers and data scientists to develop scalable ML models and deploy them into production environments using modern MLOps practices. If you're excited about solving real-world … dynamic environments. Implement and improve MLOps pipelines to support continuous training, deployment, monitoring, and scaling of machine learning models in production. Collaborate with data engineers and software developers to ensure seamless integration of machine learning models with existing infrastructure and data pipelines. Stay up to date … solutions (AWS, GCP, or Azure) to deploy and manage machine learning workloads in a scalable manner. Qualifications: Master's degree or Ph.D. in Data Science, Computer Science, Mathematics, or a related field. 4+ years of hands-on experience designing and deploying machine learning models in production, with a More ❯

users (trade entry, exchange interfaces, STP, etc) Designing new bespoke views Customising Trading System user interface using ClassEvents (C#.NET) Modifying the Trading System data model directly in the SQLServer database Enhancing test automation and ability to unit test custom code Developing customised applications (APIs, loaders, reports, data pipelines, BI tools) Quickly acquiring new technical skills (Azure IaaS/PaaS, Crystal Reports, Python, Azure Databricks, Azure Data Factory, Power BI, etc.) Requirements of the Senior Developer (ETRM) Proven experience within trading environments (hedge funds, investment banks, trading houses, asset managers, fintechs, trading vendors eg More ❯

users (trade entry, exchange interfaces, STP, etc) Designing new bespoke views Customising Trading System user interface using ClassEvents (C#.NET) Modifying the Trading System data model directly in the SQLServer database Enhancing test automation and ability to unit test custom code Developing customised applications (APIs, loaders, reports, data pipelines, BI tools) Quickly acquiring new technical skills (Azure IaaS/PaaS, Crystal Reports, Python, Azure Databricks, Azure Data Factory, Power BI, etc.) Requirements of the Senior Developer (ETRM) Proven experience within trading environments (hedge funds, investment banks, trading houses, asset managers, fintechs, trading vendors eg More ❯

Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through … platform of choice for the distribution of their content. As part of the team, you will be responsible for ensuring delivery of quality data for the Mutual Funds and ETP product. We are focused on finding opportunities to improve our coverage, completeness, timeliness, and accuracy for the facets … Technical Account Management team is responsible for the maintenance and calibre of the facets of the funds dataset including pricing and dividends, reference data, corporate actions, documents, and regulatory data. As a Technical Account Manager, your responsibility will be to develop subject matter expertise in your market, build More ❯

together. About The Role As an AI Engineer, you'll use Generative AI to enhance operations, power client-facing products, and strengthen our data-driven culture. Owning the full AI lifecycle, you'll take ideas from proof of concept to deployment and continuous evaluation. Our AI initiatives span … categorization, summarization, data analysis, automated content generation, and rich media analysis - leveraging both existing AI/ML tools (LLMs, RAG, embeddings, agentic workflows) and custom solutions. You'll collaborate across teams to build practical, scalable AI solutions - where precision matters. With a "you build it, you run it … of concepts to validate feasibility and demonstrate real-world value. Explore, collect, clean, and prepare datasets for prompt engineering, model training and evaluation (Data Engineering). Design and create robust data pipelines (Data Engineering). Develop, test and iterate prompts to optimise performance across More ❯

including institutional VC funds and C-level executives of global technology companies. In this role, you will: Design and develop a highly-scalable data platform capable of ingesting and processing hundreds of terabytes of training data. Design and develop methodologies and metrics to better understand the underlying quality … structure and distribution of training data. Architect training data validation, integrity and safety mechanisms for state-of-the-art ML models. Be given a high degree of autonomy and ownership over your work. Co-hire your future colleagues. Work closely with the founding team and contribute towards best … the company. What we are looking for: Back-end development: At least 2–3 years of industry experience in back-end engineering developing data platforms or large-scale extract-transform-load (ETL) pipelines. Programming languages: Proficiency in Python for data pipelines, distributed systems and micro-services. More ❯

including institutional VC funds and C-level executives of global technology companies. In this role, you will: Design and develop a highly-scalable data platform capable of ingesting and processing hundreds of terabytes of training data. Design and develop methodologies and metrics to better understand the underlying quality … structure and distribution of training data. Architect training data validation, integrity and safety mechanisms for state-of-the-art ML models. Be given a high degree of autonomy and ownership over your work. Co-hire your future colleagues. Work closely with the founding team and contribute towards best … the company. What we are looking for: Back-end development: At least 2–3 years of industry experience in back-end engineering developing data platforms or large-scale extract-transform-load (ETL) pipelines. Programming languages: Proficiency in Python for data pipelines, distributed systems and micro-services. More ❯

are RAPP - world leaders in activating growth with precision and empathy at scale. As a global, next-generation precision marketing agency we leverage data, creativity, technology, and empathy to foster client growth. We champion individuality in the marketing solutions we create, and in our workplace. We fight for … to the individual's needs, beliefs, behaviours, and aspirations. We foster an inclusive workplace that emphasizes personal well-being. Role Are you a data scientist eager to broaden your impact across the full stack of data science? Do you enjoy fast-paced environments, wearing multiple hats … and turning ideas into production-ready solutions? At RAPP, we're looking for a Data Scientist with a growth mindset, a generalist toolkit, and an appetite to grow within a world-class marketing agency. You'll work alongside senior data scientists, engineers, strategists, and creatives to More ❯

high-impact role requiring deep technical knowledge, strong product leadership, and a proven track record of delivering AI/ML solutions in complex, data-rich environments. You'll work closely with other product teams and cross-functional partners, to conceptualize and deliver AI capabilities that transform how product … Experience with natural language processing (NLP) techniques, large language models, or other AI methods for text-based and structured data. Strong understanding of data pipelines, data modeling, and MLOps. Experience in working on complex collaborative products that are architected as modular and extensible platforms or at … impact. Experience in mentoring and coaching junior colleagues, as well as leading across the company through indirect influence. Educational background in computer science, data science, or related practice. What's in it for you? Be part of building the world's first and best Product Management Platform that More ❯

across teams, ensuring smooth and efficient project execution. Operational Excellence & Risk Management Identify and mitigate technical risks and obstacles, ensuring that the product development pipeline runs smoothly and efficiently. Ensure the security, performance, and scalability of products through proactive monitoring and improvements. Ensure adherence to high coding standards, software … hands-on experience in modern software development technologies (e.g., Java, Python, microservices, cloud platforms like AWS, Azure, etc.). Expertise in software architecture, data architecture, and system design, with an ability to lead and influence technical decision-making. Drive innovation toward building high-scalable, real-time data pipelines and data distribution solutions. Experience with enterprise integration patterns, including event-driven architectures and messaging systems. Leadership & Collaboration Comfortable acting as the primary interface with senior leaders, stakeholders, and executives, driving consensus across competing objectives. Exceptional leadership, communication, and interpersonal skills, with the ability to More ❯

effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. Role/Responsibilities: Design, develop, and maintain high-performance trading systems and infrastructure to support systematic trading strategies Develop and maintain robust data pipelines for real-time and historical market data, ensuring data integrity and accessibility Conduct rigorous testing and validation of trading systems and data pipelines to ensure reliability and accuracy Work closely with cross-functional teams - including researchers, traders, and technology - to align More ❯

Data Scientist - Customer Lifetime Value Hybrid in London/Remote within the UK We're looking for a Data Scientist Our Customer Lifetime Value (CLtV) model is a highly developed and tailored model, which is central to our business strategy at iwoca. As a Data … We'll get there by continuing to make our finance ever more relevant and accessible to more businesses by combining cutting-edge technology, data science, and a 5-star customer service. The team Customer Lifetime Value (CLtV) represents the value each customer brings to iwoca. This concept is … and demonstrating your skills in several key areas, including but not limited to: Model development: Explore and integrate innovative modelling methods into our training pipeline to enhance the predictive power and flexibility of our model. Take responsibility for the full lifecycle of the model, including training, validation, deployment, and More ❯

Full Stack Data Scientist - AI & Knowledge Systems 3-6 month contract Outside IR35 Hybrid (2-3 days per week in London) About the Role We are seeking an exceptional Full Stack Data Scientist to join our clients innovation team. This role combines traditional data … models to address complex business problems Scale AI solutions from proof-of-concept to MVP and full production Collaborate with backend engineers on data pipelines and infrastructure Work within solution architecture frameworks to ensure AI integration Contribute to solution design and technical decision-making Translate business requirements into … technical specifications Required Skills & Experience Extensive experience combining data science with software engineering Strong expertise in machine learning, with focus on causal ML and probabilistic modelling Experience developing and implementing knowledge graphs Proficiency in scaling AI solutions from concept to production Working knowledge of backend systems, data More ❯

Full Stack Data Scientist - AI & Knowledge Systems 3-6 month contract Outside IR35 Hybrid (2-3 days per week in London) About the Role We are seeking an exceptional Full Stack Data Scientist to join our clients innovation team. This role combines traditional data … models to address complex business problems Scale AI solutions from proof-of-concept to MVP and full production Collaborate with backend engineers on data pipelines and infrastructure Work within solution architecture frameworks to ensure AI integration Contribute to solution design and technical decision-making Translate business requirements into … technical specifications Required Skills & Experience Extensive experience combining data science with software engineering Strong expertise in machine learning, with focus on causal ML and probabilistic modelling Experience developing and implementing knowledge graphs Proficiency in scaling AI solutions from concept to production Working knowledge of backend systems, data More ❯