101 to 125 of 206 Data Ingestion Jobs in the UK

Business Product Owner, Data Analytics, Azure, Data Engineering, AI, ML, Azure, Mainly Remote Product Owner (Technical and Business) required to join a global Professional Services business based in Central London. However, this is practically a remote role, but when travel is required (to London, Europe and the States on occasions. We need someone who has worked on LARGE … and SIGNIFICANT products for large enterprise businesses. If you have come from the Big 4 on the Professional Services circuit, even better! The platform primarily serves two key personas: Data and Intelligence Delivery specialists, who manage data ingestion, transformation, and orchestration processes, and Assurance professionals, who use the analysers to enhance audit quality and client service. This … being said, we need DATA HEAVY Product Owners who have managed complex, Global products. Read on for more details... Experience required: Technical proficiency: Familiarity with Azure services (e.g., Data Lake, Synapse, Fabric) and Databricks for data engineering, analytics, performance optimisation, and governance. Experience with implementing and optimising scalable cloud infrastructure is highly valued. Backlog management: Demonstrated expertise More ❯

We are looking for Data Engineers suitable for a group of world-class investment and trading firms that are actively expanding their data engineering functions. Each environment is highly technical, research-driven, and deeply data-centric — offering the opportunity to work on systems and pipelines that directly influence investment decisions. These positions sit within core data teams, responsible for building and maintaining the infrastructure that underpins everything from quantitative research to real-time trading and analytics. You’ll work closely with developers, data scientists, and researchers to ensure clean, accurate, and reliable data is available across the business. This is a fantastic opportunity for early-career engineers (1–5 years’ experience) who want … to accelerate their development in an environment that values intellectual curiosity, technical depth, and end-to-end ownership. The Role Design, build, and optimise data pipelines and ETL processes that feed critical research and trading systems. Engineer scalable, automated solutions for data ingestion, cleaning, and validation across multiple structured and unstructured sources. Collaborate with researchers, technologists, and More ❯

We are looking for Data Engineers suitable for a group of world-class investment and trading firms that are actively expanding their data engineering functions. Each environment is highly technical, research-driven, and deeply data-centric — offering the opportunity to work on systems and pipelines that directly influence investment decisions. These positions sit within core data teams, responsible for building and maintaining the infrastructure that underpins everything from quantitative research to real-time trading and analytics. You’ll work closely with developers, data scientists, and researchers to ensure clean, accurate, and reliable data is available across the business. This is a fantastic opportunity for early-career engineers (1–5 years’ experience) who want … to accelerate their development in an environment that values intellectual curiosity, technical depth, and end-to-end ownership. The Role Design, build, and optimise data pipelines and ETL processes that feed critical research and trading systems. Engineer scalable, automated solutions for data ingestion, cleaning, and validation across multiple structured and unstructured sources. Collaborate with researchers, technologists, and More ❯

We are looking for Data Engineers suitable for a group of world-class investment and trading firms that are actively expanding their data engineering functions. Each environment is highly technical, research-driven, and deeply data-centric — offering the opportunity to work on systems and pipelines that directly influence investment decisions. These positions sit within core data teams, responsible for building and maintaining the infrastructure that underpins everything from quantitative research to real-time trading and analytics. You’ll work closely with developers, data scientists, and researchers to ensure clean, accurate, and reliable data is available across the business. This is a fantastic opportunity for early-career engineers (1–5 years’ experience) who want … to accelerate their development in an environment that values intellectual curiosity, technical depth, and end-to-end ownership. The Role Design, build, and optimise data pipelines and ETL processes that feed critical research and trading systems. Engineer scalable, automated solutions for data ingestion, cleaning, and validation across multiple structured and unstructured sources. Collaborate with researchers, technologists, and More ❯

We are looking for Data Engineers suitable for a group of world-class investment and trading firms that are actively expanding their data engineering functions. Each environment is highly technical, research-driven, and deeply data-centric — offering the opportunity to work on systems and pipelines that directly influence investment decisions. These positions sit within core data teams, responsible for building and maintaining the infrastructure that underpins everything from quantitative research to real-time trading and analytics. You’ll work closely with developers, data scientists, and researchers to ensure clean, accurate, and reliable data is available across the business. This is a fantastic opportunity for early-career engineers (1–5 years’ experience) who want … to accelerate their development in an environment that values intellectual curiosity, technical depth, and end-to-end ownership. The Role Design, build, and optimise data pipelines and ETL processes that feed critical research and trading systems. Engineer scalable, automated solutions for data ingestion, cleaning, and validation across multiple structured and unstructured sources. Collaborate with researchers, technologists, and More ❯

We are looking for Data Engineers suitable for a group of world-class investment and trading firms that are actively expanding their data engineering functions. Each environment is highly technical, research-driven, and deeply data-centric — offering the opportunity to work on systems and pipelines that directly influence investment decisions. These positions sit within core data teams, responsible for building and maintaining the infrastructure that underpins everything from quantitative research to real-time trading and analytics. You’ll work closely with developers, data scientists, and researchers to ensure clean, accurate, and reliable data is available across the business. This is a fantastic opportunity for early-career engineers (1–5 years’ experience) who want … to accelerate their development in an environment that values intellectual curiosity, technical depth, and end-to-end ownership. The Role Design, build, and optimise data pipelines and ETL processes that feed critical research and trading systems. Engineer scalable, automated solutions for data ingestion, cleaning, and validation across multiple structured and unstructured sources. Collaborate with researchers, technologists, and More ❯

join our MarTech team at Aviva. In this role, youll take full ownership of building, managing, and optimising audiences within Adobe Experience Platform (AEP) using the real-time Customer Data Platform (rtCDP). Your work will enable personalised, data-driven experiences across paid media, website, app, and email channelsensuring the right message reaches the right customer at the … right time. This is a high-impact role suited to someone passionate about data-driven marketing and audience strategy. If you thrive in a fast-paced environment and enjoy blending technical capability with strategic thinking, wed love to hear from you. A bit about the job: This is a hands-on role where technical expertise meets marketing activation. Youll … digital channels. Collaboration will be key, as youll work closely with product and platform owners, go-to-market managers, and channel specialists to maximise the value of Avivas customer data and Adobe MarTech ecosystem. Youll be instrumental in managing customer profiles, identities, and the identity graph to maintain unified customer views. This includes overseeing data ingestion pipelinesEdge More ❯

in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house , using new data sources, machine learning and AI to make machines do the heavy lifting About the Role As a Senior Software Engineer (Data), you'll help shape and scale our … data infrastructure, making analytics faster, more reliable, and cost-efficient. You'll work with AWS, Snowflake, Python, and Terraform, building tooling, and onboarding new data sources. You'll collaborate closely with teams across the business, ensuring our platform is secure, scalable, and easy to use. Our team mission We want to maximise business value by improving efficiency in … our Analytics, enhancing Lendable's competitive advantage through data utilisation. This means our Data Platform is designed to streamline the efficiency of analysis in extracting insights from data, while also ensuring cost control, compliance, and security. What will you be doing? This is a non-exhaustive list of the activities you would engage with in the role More ❯

Data Engineer £700/day outside IR35 3-month initial contract Remote working - occasional site visits Working with a leading financial services client who are looking for a Data Engineering Consultant. Looking for someone who can act independently and deliver complex data products - work with stakeholders to understand requirements, engineer and deliver products. Data Engineering Consultant … key responsibilities: Work cross-functionally with non-technical stakeholders to understand data requirements Expert knowledge of SQL to query, analysis and model data Experience with Snowflake Using DBT for data transforms and modelling Data ingestion using Python Build foundations for business functions to be able to access the correct data and insights Experience working More ❯

attend. At Carda Health, we've reimagined rehab. Our program allows patients to complete inspiring, convenient, life-saving therapy remotely. Who are we? We are a team of clinicians, data scientists, mathematicians and repeat entrepreneurs. And a few recovering financiers. Our belief is that technology and data, when applied to the right problem, transforms people's lives and … in the business who have also backed the likes of Livongo, Hinge, Calm, MDLive, and others. What we're looking for We're looking for a Machine Learning/Data Engineer to lead the development of ML applications and data infrastructure that will accelerate our ability to gather actionable, high-impact insights from complex healthcare data. We're … looking for someone who is effective at all levels of the machine learning and data stack, with a track record of delivering applications from the ground up. You'll lead research, prototyping, and deployment of models that risk stratify patients, predict readmissions, surface timely interventions for our clinicians, and more. As one of our early data hires, you More ❯

enhancing the organisation's Logging, Monitoring, and Alerting (LMA) capability, working on the design, maintenance, and optimisation of Elastic stacks and clusters. The role requires hands-on experience with data ingestion pipelines, performance tuning, and building effective visualisations from large data sets. Key Skills & Experience: 2+ years as an ELK SME (Elastic, Logstash, Kibana) Proven experience designing … managing, and tuning large Elastic clusters Strong skills in data ingestion pipelines and indexing best practices Knowledge of visualisation techniques in Elasticsearch Background in software development, infrastructure engineering, and operations Location: Edinburgh/Glasgow (on-site 2 days per week on average, flexibility required) This is a fantastic opportunity for a motivated, hands-on engineer to contribute to More ❯

tools, working closely with a multidisciplinary team What You'll Do: Maintain and improve our web API built with FastAPI, deployed on AWS.Collaborate on the product roadmap, focusing on data ingestion, UI enhancements, and exploring agentic AI capabilities.Develop innovative features to generate synthetic audiences based on existing data, demographics, and attitudes.Work alongside the team to ensure robust … testing, and deployment processes.Contribute to technical decisions around prompt engineering, RAG, and generative AI solutions.Document processes and support agile project management activities.Engage in developing features related to sentiment analysis, data ingestion, and synthetic audience creation. What We're Looking For: Proven experience building applications with Large Language Models (LLMs), including tool usage and information retrieval.Strong proficiency in Python More ❯

Principal Product Manager - Vehicle & Asset Data Platform Remote - UK Samsara's Mission Improve the safety, efficiency, and sustainability of the operations that power the global economy. Samsara (NYSE: IOT) is the pioneer of the Connected Operations Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop … This role is a defining opportunity for a Principal/Staff Product Manager to own the foundational layer of Samsara's second-largest and original business, Telematics . Our data platform is the engine for physical operations, collecting real-time information from over 1.4 million connected vehicle gateways across the US, Canada, Mexico, and Europe. You will be the … strategic IC responsible for the Vehicle and Asset Data Platform , ensuring we acquire complete, high-quality, and standardized data from a rapidly expanding range of physical assets - from trucks and cars to forklifts and heavy equipment. This isn't just about data acquisition; it's about building the core system that drives every critical feature in the More ❯

enable environmental impact assessments, economic modelling, and the integration of community preferences. The SME will be responsible for consolidating and migrating diverse spatial datasets into a unified system, ensuring data accuracy, quality, and accessibility, while supporting secure, role-based access, automation, and interoperability with internal and external systems. Your Responsibilities Platform Design & Implementation Architect and deploy a scalable ESRI … based GIS platform (ArcGIS Enterprise, ArcGIS Online, etc.). Define system architecture, data flows, and integration points with enterprise systems. Lead the migration and consolidation of spatial datasets from legacy systems. Spatial Analysis & Planning Develop spatial models for energy planning, environmental impact assessments, and economic forecasting. Integrate community feedback and preferences into spatial decision-making tools. Create interactive dashboards … and maps for stakeholder engagement. Data Management & Quality Assurance Establish data governance protocols for spatial data accuracy, completeness, and consistency. Implement ETL workflows using ArcGIS Data Interoperability tools or third-party solutions. Manage metadata standards and spatial data cataloging. Security & Access Control Configure role-based access controls and user permissions. Ensure compliance with data More ❯

as a group Assisting with the maintenance and iteration of a FastAPI-based web API hosted on AWS. Enhancing the existing product in line with the roadmap, focusing on data ingestion, UI updates (with a Fullstack Developer), and potential agentic features. Supporting the design and delivery of a new capability converting audience data and insights into conversational … design, testing strategies, and technical direction, including Generative AI solutions involving RAG and prompt engineering. Maintaining documentation and Agile project processes. Assisting with new feature development in sentiment analysis, data ingestion, and synthetic audience creation. As a member of the Disability Confident Scheme, Circle and our Client guarantees to interview all candidates who have a disability and who More ❯

AI/Data Developer - Contract - SC Cleared - £500 - £600pd (Outside of IR35) - Hybrid working Our client, a leading deep-tech organisation, is seeking an experienced AI/Data Developer for an urgent contract assignment. Key Requirements: Proven background in AI and data development Strong proficiency in Python , including data-focused libraries such as Pandas, NumPy, and … PySpark Hands-on experience with Apache Spark (PySpark preferred) Solid understanding of data management and processing pipelines Experience in algorithm development and graph data structures is advantageous Active SC Clearance is mandatory Role Overview: You will play a key role in developing and delivering advanced AI solutions for a Government client . Responsibilities include: Designing, building, and maintaining … data processing pipelines using Apache Spark Implementing ETL/ELT workflows for large-scale data sets Developing and optimising Python-based data ingestion tools Collaborating on the design and deployment of machine learning models Ensuring data quality, integrity, and performance across distributed systems Contributing to data architecture and storage strategy design Working with cloud More ❯

wide array of complex projects across multiple industries. The Role: We are looking for a Software Engineer with a strong foundation in API development and C# to join our data engineering team in a highly regulated industry. In this role, you’ll be instrumental in designing and building scalable, secure software systems that support seamless data movement between … internal systems, third-party platforms, and cloud services. Your core focus will be developing and maintaining APIs and backend services that enable data ingestion, transformation, and delivery across our enterprise architecture. You’ll collaborate with cross-functional teams to ensure data is available where and when it’s needed—reliably, efficiently, and in compliance with strict regulatory … over 5 years of relevant experience, a solid understanding of software system design, and a strong command of C# and modern API development patterns. A background in working with data systems, cloud integrations, and secure, large-scale applications will be highly advantageous. Responsibilities: Design, develop, and maintain scalable APIs and backend services to facilitate data flow between systems. More ❯

wide array of complex projects across multiple industries. The Role: We are looking for a Software Engineer with a strong foundation in API development and C# to join our data engineering team in a highly regulated industry. In this role, you’ll be instrumental in designing and building scalable, secure software systems that support seamless data movement between … internal systems, third-party platforms, and cloud services. Your core focus will be developing and maintaining APIs and backend services that enable data ingestion, transformation, and delivery across our enterprise architecture. You’ll collaborate with cross-functional teams to ensure data is available where and when it’s needed—reliably, efficiently, and in compliance with strict regulatory … over 5 years of relevant experience, a solid understanding of software system design, and a strong command of C# and modern API development patterns. A background in working with data systems, cloud integrations, and secure, large-scale applications will be highly advantageous. Responsibilities: Design, develop, and maintain scalable APIs and backend services to facilitate data flow between systems. More ❯

week) Company Introduction: We are currently recruiting an experienced Microsoft Power Platform Application Designer/Developer with Power Automate , Power Apps , Copilot Studio & Pro-Code experience for a global Data Analytics client in central London. This is a 3 day per week role - 24 working hours per week with full flexibility on when you work. Role summary: We are … solutions using the Power Platform and Microsoft Fabric. Required Skills/Experience: Proven expertise with Power Automate , Power Apps , Power BI , and Copilot Studio . Strong SQL skills for data modelling, querying, and optimisation within Fabric and Power BI. Experience creating and maintaining Fabric data agents and integrating them into Power Platform and Copilot solutions. Power Apps: Experience … developing complex Canvas Apps with multiple data connections. Understanding of Model-Driven Apps and Dataverse schema design Demonstrated ability to balance low-code and pro-code approaches to solution delivery. Job Responsibilities/Objectives: Develop solutions using Power Automate , Power Apps , Power BI , and Copilot Studio . Create and manage Fabric data agents for structured data ingestion More ❯

days onsite per week) Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and scalable data … support advanced analytics and intelligent automation initiatives. This role offers a hybrid work arrangement , combining flexibility with collaboration, and is ideal for a contractor who thrives in fast-paced, data-driven environments. Key Responsibilities Design, build, and deploy machine learning models and AI-driven solutions to address business challenges. Collaborate with data scientists to transition prototypes into production … ready systems . Develop and maintain end-to-end ML pipelines for data ingestion, training, testing, and deployment. Optimise model performance, scalability, and reliability using MLOps best practices. Work with large-scale structured and unstructured datasets for model training and validation. Implement model monitoring, versioning, and retraining processes to ensure continuous improvement. Collaborate cross-functionally with engineering, data More ❯

days onsite per week) Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and scalable data … support advanced analytics and intelligent automation initiatives. This role offers a hybrid work arrangement , combining flexibility with collaboration, and is ideal for a contractor who thrives in fast-paced, data-driven environments. Key Responsibilities Design, build, and deploy machine learning models and AI-driven solutions to address business challenges. Collaborate with data scientists to transition prototypes into production … ready systems . Develop and maintain end-to-end ML pipelines for data ingestion, training, testing, and deployment. Optimise model performance, scalability, and reliability using MLOps best practices. Work with large-scale structured and unstructured datasets for model training and validation. Implement model monitoring, versioning, and retraining processes to ensure continuous improvement. Collaborate cross-functionally with engineering, data More ❯

days onsite per week) Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and scalable data … support advanced analytics and intelligent automation initiatives. This role offers a hybrid work arrangement , combining flexibility with collaboration, and is ideal for a contractor who thrives in fast-paced, data-driven environments. Key Responsibilities Design, build, and deploy machine learning models and AI-driven solutions to address business challenges. Collaborate with data scientists to transition prototypes into production … ready systems . Develop and maintain end-to-end ML pipelines for data ingestion, training, testing, and deployment. Optimise model performance, scalability, and reliability using MLOps best practices. Work with large-scale structured and unstructured datasets for model training and validation. Implement model monitoring, versioning, and retraining processes to ensure continuous improvement. Collaborate cross-functionally with engineering, data More ❯

days onsite per week) Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and scalable data … support advanced analytics and intelligent automation initiatives. This role offers a hybrid work arrangement , combining flexibility with collaboration, and is ideal for a contractor who thrives in fast-paced, data-driven environments. Key Responsibilities Design, build, and deploy machine learning models and AI-driven solutions to address business challenges. Collaborate with data scientists to transition prototypes into production … ready systems . Develop and maintain end-to-end ML pipelines for data ingestion, training, testing, and deployment. Optimise model performance, scalability, and reliability using MLOps best practices. Work with large-scale structured and unstructured datasets for model training and validation. Implement model monitoring, versioning, and retraining processes to ensure continuous improvement. Collaborate cross-functionally with engineering, data More ❯

days onsite per week) Contract Type: Contract Duration: 6–12 months (possibility of extension) Start Date: ASAP Overview We are seeking an experienced Machine Learning Engineer to join our data science and AI engineering team on a contract basis in London. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and scalable data … support advanced analytics and intelligent automation initiatives. This role offers a hybrid work arrangement , combining flexibility with collaboration, and is ideal for a contractor who thrives in fast-paced, data-driven environments. Key Responsibilities Design, build, and deploy machine learning models and AI-driven solutions to address business challenges. Collaborate with data scientists to transition prototypes into production … ready systems . Develop and maintain end-to-end ML pipelines for data ingestion, training, testing, and deployment. Optimise model performance, scalability, and reliability using MLOps best practices. Work with large-scale structured and unstructured datasets for model training and validation. Implement model monitoring, versioning, and retraining processes to ensure continuous improvement. Collaborate cross-functionally with engineering, data More ❯

My client, a prestigious multi-strat hedge fund, is seeking an exceptional Data Engineer/Developer to join their Reporting & Analytics team within their London office. In this role, you will play a key role in designing and developing next-generation reporting and data analytics solutions, with a strong focus on P&L reporting and operational decision-making. … As part of a rapidly growing firm, you will work on revamping existing implementations, optimising data pipelines, and implementing rigorous data standards to support key business functions across the firm. This role will offer continuous exposure to Portfolio Managers, Risk & Portfolio Research teams, Product Control, and Compliance, providing an opportunity to influence critical workflows and enhance data-driven decision-making across the organization. Responsibilities Design & implement robust data pipelines and ETL processes, ensuring high standards in data modeling, documentation, and testing. Develop and optimize SQL queries for data extraction, aggregation, and reporting. Collaborate with key business teams (Risk, Portfolio Research, Compliance) to build efficient and scalable reporting solutions. Support critical production processes, including More ❯