76 to 100 of 182 Data Ingestion Jobs in England

Data Engineer | Health Tech | London - Dagster, dbt, BigQuery, LLMs They're using AI to automatically extract, categorise, and reconcile data from these scattered sources, turning chaos into actionable insights in the healthcare sector. What You'll Be Doing Working directly with the CTO, you'll own large parts of the data infrastructure: Building scalable data ingestion and processing systems for complex integrations. Taking problems from concept to production—making smart decisions. Designing ELT pipelines, working with unstructured data, and transforming raw data into customer-facing analytics Some data transformation and analysis work (no dedicated analyst yet) Contributing to product thinking and commercial goals—engineers here aren't siloed What They Need … z2bz0 years building production-grade data systems in fast-paced environments Solid experience with modern data stack (ELT pipelines, data warehouses, semantic layers, LLM integration) Strong SQL and comfortable with dbt for data transformation Product-minded —you care about outcomes, ask "why", and understand user context Self-directed with a bias for execution—you can scope More ❯

MI & Data Integration Analyst (Azure/Databricks) Hybrid - Central London | £43,000 pro rata | 3-month FTC (potential to extend) We're looking for a technically strong and commercially aware MI & Data Integration Analyst to join a leading UK retail and technology business on an initial 3-month fixed-term contract . This is a great opportunity for … someone who enjoys combining hands-on data analysis, reporting, and Azure integration work - helping build robust data foundations and self-serve reporting capability for an evolving business area. The Opportunity You'll be supporting a small, forward-thinking team to improve how they use data - helping them access accurate and timely MI, streamline processes, and migrate to … a new Azure-based data environment. You'll take ownership of reporting improvements, work closely with third-party partners on offshoring data processes, and support the move of key datasets into the Unity Catalog environment. Key Responsibilities Produce and enhance accurate, timely, and insightful MI reports to support business decision-making. Develop and maintain data tables and More ❯

a few. This role is based in Finland, and can be located at either our Helsinki or Tampere offices, or remotely from the UK. Key Responsibilities Designing and optimizing data solutions in a cloud environment Integrating data pipelines with external services through APIs Enforcing data security measures, including encryption and access controls Designing data solutions adhering … to regulatory requirements (e.g., GDPR, HIPAA)Implementing metadata repositories for tracking data lineage and dependencies Building data solutions leveraging different data ingestion methods and technologies Skills, Knowledge And Expertise Must have: Experience with cloud-based technologies (such as Azure) Proficiency in designing and implementing complex system integrations Experience with Python and .NET Experience in implementing data … Pandas In-depth knowledge of various database system technologies (relational, document, columnar, etc.) Understanding and experience with relational databases and implementation of OLTP and OLAP systems Professional experience in data modeling and database optimisation Nice to have: Experience in implementing version control for data artifacts Expertise in data migration strategies Familiarity with machine learning integration Knowledge and More ❯

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 ❯

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 ❯

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 ❯

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 ❯