1 to 25 of 56 Data Ingestion Jobs in the UK excluding London

Job Description: We are seeking a highly skilled and visionary Director of Data Platforms and Architecture to lead the design, development, and governance of our enterprise-wide Snacking data platform ecosystem. This individual will be responsible for driving platform strategy, fostering innovation, and ensuring robust data architecture that empower multiple products and capabilities to power business decisions … scalability, and operational excellence. As a strategic leader, the Director of Data Platforms and Architecture will oversee the implementation and optimization of cutting-edge data technologies & solutions, establish best practices in data platforms and governance, and provide technical leadership to multidisciplinary teams. You will work closely with stakeholders across business, IT, and analytics teams to align data architecture with organizational goals, enabling seamless data acquisition and advanced analytics capabilities. What will be your key responsibilities? Strategic Leadership: Develop and drive the long-term vision for enterprise data platforms and architecture, ensuring alignment with organizational goals and priorities. Collaborate with C-level executives and business leaders to identify opportunities for leveraging data as a More ❯

Job Title: Senior Data Engineer Location: Hybrid – 1 day per fortnight in the Wilmslow offices Working hours 0900 to 1730 The Role Following recent investment, The Citation Group are looking to build out their data capabilities to be Best in Class. As such, a fantastic opportunity has arisen for a strong data engineer to work in the … data engineering team, to expand and maintain the data infrastructure that provides the foundations from which our BI, Data Science and Operational Data teams deliver insights and revenue to the functions across the wider group. We’re looking for an individual who has experience working with enterprise grade data pipelines and infrastructure, who can implement … processes on our modern tech stack with robust, pragmatic solutions. Responsibilities develop, and maintain ETL/ELT data pipelines using AWS services Data, Databricks and dbt Manage and optimize data storage solutions such as Amazon S3, Redshift, RDS, and DynamoDB. Implement and manage infrastructure-as-code (IaC) using tools like Terraform or AWS CloudFormation. Monitor and optimize More ❯

Description Continuing Defleet's data led journey and recognising the importance the Data & Analytics team performs in this regard, we are looking for a skilled Lead Data Engineer who is passionate about exploiting data and searching for improvements in our existing processes and technology; can work closely with business teams; drives solutions with a focused mentality … on business value and can lead, influence and drive collaboration across teams and stakeholders. It will focus on expanding the existing mission critical ecosystem of Data and BI systems for analytics and decision making, using Primarily Data Warehouse/Mart, Data Lake, Self Service BI Tools and Data Science/ML platform using Oracle, Snowflake and … AWS tech stack. Qualifications We are looking for a skilled Lead Data Engineer who: Personal Attributes: Self-starter with initiative and enthusiasm Thrives at solving problems with minimal or no direction and developing their own solution Looks at the existing tech landscape and identifies improvements without prompting Desire and ability to continuously learn new technologies and practices and learn More ❯

Description Continuing Defleet's data led journey and recognising the importance the Data & Analytics team performs in this regard, we are looking for a skilled Lead Data Engineer who is passionate about exploiting data and searching for improvements in our existing processes and technology; can work closely with business teams; drives solutions with a focused mentality … on business value and can lead, influence and drive collaboration across teams and stakeholders. It will focus on expanding the existing mission critical ecosystem of Data and BI systems for analytics and decision making, using Primarily Data Warehouse/Mart, Data Lake, Self Service BI Tools and Data Science/ML platform using Oracle, Snowflake and … AWS tech stack. Qualifications We are looking for a skilled Lead Data Engineer who: Personal Attributes: Self-starter with initiative and enthusiasm Thrives at solving problems with minimal or no direction and developing their own solution Looks at the existing tech landscape and identifies improvements without prompting Desire and ability to continuously learn new technologies and practices and learn More ❯

Role: Data Engineer Location: Belfast Duration: Long Term Contract Opportunity - Rolling Contract Rate: Market Rates - Inside IR35 Job Description : Fujitsu's Decision Intelligence practice in the UK helps organisations bridge the gap between data and insights, empowering businesses to make smarter decisions, optimise operations, and drive innovation. From AI-powered analytics to data governance and security, we … comprehensive suite of services to help our Public and Private Sector customers unlock the full potential of their data. Job Summary : We are seeking a skilled and experienced AWS Data Engineer to join our team. The successful candidate will be responsible for implementing, and managing data architecture solutions for our customers, with a strong emphasis on Cloud technologies … Preferably AWS) and tooling. This role requires understanding of data modelling, database design, and data integration techniques. Key Responsibilities Data Ingestion and Extraction: Design and implement efficient data ingestion pipelines to and from databases and file storage services. Data Transformation and Cleaning: Transform and clean raw data to ensure data quality More ❯

My client is based in the London area and is currently looking to recruit an experienced Fabric Data Engineer to join their team. They are one of the leaders within the Insurance space. They are currently going through a period of growth and are looking for an experienced Data Engineer to join their team. They are backed by … implement and utilise the most in-demand and cutting-edge technology on the market right now. Your role will include: Collaborate closely with stakeholders to understand and interpret their data and analytics needs. Design and deploy end-to-end data solutions using Microsoft Fabric, encompassing data ingestion, transformation, and visualisation workflows. Construct and refine data models, pipelines, and ETL frameworks within the Fabric ecosystem. Leverage Fabric's suite of tools to build dynamic reports, dashboards, and analytical applications. Maintain high standards of data integrity, consistency, and system performance across the data environment. Advise on data governance, security protocols, and compliance strategies aligned with industry best practices. Diagnose and resolve technical challenges More ❯

high-ambiguity environment. • Build, train, and deploy state-of-the-art models (e.g., deep learning, NLP, computer vision, reinforcement learning, or relevant domain-specific architectures). • Design infrastructure for data ingestion, annotation, experimentation, model versioning, and monitoring. • Collaborate closely with product, design, and DevOps to integrate AI features into our platform. • Continuously evaluate new research, open-source tools … and grow an AI/ML team as we scale beyond our seed round. ⸻ Key Responsibilities 1. Architecture & Hands-On Development • Define and implement end-to-end AI pipelines: data collection/cleaning, feature engineering, model training, validation, and inference. • Rapidly prototype novel models (e.g., neural networks, probabilistic models) using PyTorch, TensorFlow, JAX, or equivalent. • Productionize models in cloud … availability inference. 2. Strategic Leadership • Develop a multi-quarter AI roadmap aligned with product milestones and fundraising milestones. • Identify and evaluate opportunities for AI-driven competitive advantages (e.g., proprietary data, unique model architectures, transfer/few-shot learning). • Collaborate with business stakeholders to translate “big problems” into technically feasible AI solutions. 3. Data & Infrastructure • Oversee the creation More ❯

Senior Machine Learning Operations Engineer Location: Guernsey, Haywards Heath, Home Office (Remote) or Manchester Salary: £65,000 - £75,000 - depending on experience Department: Technology and Data We're 1st Central, a market-leading insurance company utilising smart data and technology at pace. Rapid growth has been based on giving our 1.4 million customers exactly what they want: great … for our colleagues too; we won Insurance Employer of the Year at the British Insurance Awards 2024 and our Glassdoor score is pretty mega too! We're big on data: it gives us the insights we need to give the right cover to the right customers at the right price. But it's the people inside and outside our … business that power us and were currently on the hunt for 2 experienced Senior Machine Learning Operation Engineers to join our Data Function. You'll play a significant role within our Data Function, working on the design and implementation of machine learning model engineering frameworks, solutions, and best practices. You'll be technically proficient in machine learning and More ❯

Senior Machine Learning Operations Engineer Location: Guernsey, Haywards Heath, Home Office (Remote) or Manchester Salary: £65,000 - £75,000 - depending on experience Department: Technology and Data We're 1st Central, a market-leading insurance company utilising smart data and technology at pace. Rapid growth has been based on giving our 1.4 million customers exactly what they want: great … for our colleagues too; we won Insurance Employer of the Year at the British Insurance Awards 2024 and our Glassdoor score is pretty mega too! We're big on data: it gives us the insights we need to give the right cover to the right customers at the right price. But it's the people inside and outside our … business that power us and were currently on the hunt for 2 experienced Senior Machine Learning Operation Engineers to join our Data Function. You'll play a significant role within our Data Function, working on the design and implementation of machine learning model engineering frameworks, solutions, and best practices. You'll be technically proficient in machine learning and More ❯

Join a Leading Growth business on its transformative journey to become the UK's most recommended businesses in their industry Lead Data Engineer Salary: £70-90k Location: Reading – Hybrid Benefits: Competitive Role Overview: As Lead Data Engineer , you will be part of the Corporate Data team, reporting directly to the Senior Leadership team. You will lead … a small team of data engineers, overseeing the design, build, and maintenance of the infrastructure and systems that collect, store, and process corporate data for reporting and analysis. Key Responsibilities: • Lead and manage a team of data engineers. • Design, build, and maintain data infrastructure and systems. • Ensure effective use of Microsoft Fabric and Synapse analytics platform. … Collaborate with various stakeholders, including Data and Systems owners, Data Analysts, Data Architects, Infrastructure Architects, and external suppliers. Experience required • Dynamic and hands-on leader who excels in managing and coaching a team. • Thrives in a collaborative environment and adapts to changing priorities with ease. • Excellent communication and presentation skills, capable of conveying complex ideas to both More ❯

Systems Architecture - AWS data engineer Job Description Location: UK - Will require travel to customer site ](Belfast) Job Summary: We are seeking a skilled and experienced AWS Data Engineer to join our team. The successful candidate will be responsible for implementing, and managing data architecture solutions for our customers, with a strong emphasis on Cloud technologies (Preferably AWS … and tooling. This role requires understanding of data modelling, database design, and data integration techniques. Key Responsibilities -Data Ingestion and Extraction: Design and implement efficient data ingestion pipelines to and from databases and file storage services. -Data Transformation and Cleaning: Transform and clean raw data to ensure data quality and consistency. … Data Pipelines: Build, maintain, and optimise data pipelines to automate data flows and enable real-time data processing. -Data Quality Assurance: Monitor data quality and implement measures to ensure data accuracy and completeness. -Database Administration: Manage and maintain databases (e.g., SQL, NoSQL) to ensure optimal performance and security. -Cloud Infrastructure: Deploy and manage More ❯

Job summary Join our Development Team as an Information Systems Developer, where you'll design and maintain data processes that transform, clean, and present information in user-friendly formats. You'll build integrations feeding data into live systems and analytical workflows, working hands-on with SQL databases, backend applications, REST APIs, and modern web interfaces. Leveraging both Azure … Familiarity with cloud platforms--particularly Azure and AWS--is essential, as is an ability to troubleshoot complex issues and write clean, maintainable code. If you're passionate about turning data into actionable insights and thrive in a collaborative, fast-paced environment, we'd love to hear from you. Main duties of the job Design and Maintain Data Workflows … Build, document, and manage ETL processes to transform, clean, and validate data for live systems, analytics, and reporting. Lead and Coordinate Projects: Own major technical initiatives end to end--scoping work, collaborating with teams and partners. Ensure Code Quality: Uphold best practices in version control, documentation, and peer review to maintain high standards. Troubleshoot and Improve Data Quality More ❯

Job Description: Your Impact As a Software Data Engineer, you will design, develop, deploy, and maintain data architecture which employs various methods to transform raw data into processed data. You will own the data operations infrastructure, manage and optimise performance, reliability, and scalability of the system to meeting growing demands on ingestion and processing pipelines. … To succeed in this data engineering position, you should have strong problem-solving skills and the ability to combine data from different sources. Data engineer skills also include familiarity with several programming languages. Key areas of responsibility. Orchestration ingestion and storage of raw data into structured or unstructured solutions. Design, Develop, Deploy and Support data infrastructure, pipelines and architecture. Implement reliable, scalable, and tested solutions to automate data ingestion. Development of systems to manage batch processing and real-time streaming of data Evaluate business needs and objectives. Facilitate pipelines, which prepare data for prescriptive and predictive modelling. Working with domain teams to scale the processing of data. Combine raw information from More ❯

Data Engineer (Integration) - Nationwide Charity Location: London-based (Hybrid - 1 day per week in the office) Contract: FTC - 23 months £56,500 per annum Overview: We are currently recruiting on behalf of a well-established nationwide charity for a Data Engineer (Integration) . This is an exciting opportunity to play a key role in designing and developing data products and services that improve how data is accessed and used across the organisation. You'll help ensure data is accurate, timely, and fit for purpose, supporting a wide range of departments and strategic goals. Role Summary: As a Data Engineer, you will work to connect systems, streamline business processes, and optimise data warehouse platforms. … You'll collaborate with stakeholders to deliver bespoke BI solutions, ranging from custom queries to dashboards and reports. Your work will transform raw data into actionable insights that drive the charity's mission forward.In addition to building and maintaining data integration pipelines, you'll help ensure the ongoing performance and reliability of the charity's core data More ❯

Business Intelligence Farnborough 27.06.2025 URL of this page was copied to paste buffer Data Analyst INNOVATION IS IMAGINING WHAT NOONE ELSE CAN. SHARE YOUR PASSION. At the BMW Group, everything starts with passion. It turns a profession into a vocation. It drives us to keep reinventing mobility and bring innovative ideas onto the roads. Enthusiasm for joint projects turns … It is only when expertise, highly professional processes and enjoyment of work unite that we can shape the future together. BMW Group Financial Services UK is looking for a Data Analyst. This role is based at the Summit ONE Campus in Farnborough. What awaits you? Analyse data from transactional systems to understand the generation and transformation of data, and its relationship to business processes and models. Develop a detailed understanding of transactional system data at the attribute level to prepare for effective transformation into a structure suitable for analytics. Identify and quantify business stakeholders' requirements which we can convert to re-usable Data Products. Design and implement suitable database schemas to be integrated into our More ❯

Job Title: Data Architect Location: Denmark/UK Level: Senior Role Overview As a Data Architect, you will play a pivotal role in designing, implementing, and optimizing enterprise-grade data solutions using Microsoft Fabric technologies in support of Dynamics 365 Customer Engagement (CE) projects. You'll collaborate closely with business stakeholders, technical leads, and delivery teams to … ensure scalable, secure, and insight-driven platforms. Key Responsibilities Architect and implement data integration solutions between D365 CE and Microsoft Fabric components. Translate business and CRM functional requirements into scalable data models and pipelines. Develop patterns for real-time and batch data ingestion from D365 CE (including Dataverse) into Fabric ecosystems. Design data governance, quality … enterprise standards. Support analytics and reporting use cases with clean, well-modeled datasets optimized for Power BI. Drive innovation with Fabric tools such as OneLake, Synapse, Event Stream, and Data Activator for CE-related data flows. Required Skills & Experience Proven hands-on experience delivering projects with Microsoft Fabric and D365 CE/Power Platform . Expertise in D365 More ❯

Are you passionate about building scalable, analytics-ready data models that power business intelligence and AI? I'm looking for an Analytics Engineer to join a global organisation that's investing heavily in a modern, AI-ready data platform - and this is your chance to help shape it from the ground up. You'll be part of a … newly formed, high-impact Data Team working in a fast-paced, collaborative, and entrepreneurial environment. Based in their modern Leeds office, you'll spend 4 days a week on-site, working closely with engineers, analysts, and business stakeholders. About the Platform: This greenfield initiative is focused on building a next-gen data ecosystem with a tech stack including … Snowflake for cloud data warehousing dbt for transformation and modelling Azure for cloud infrastructure and orchestration Fivetran for automated data ingestion Power BI and other modern BI tools for reporting and visualisation What You'll Do: Design and implement scalable, well-documented data models in Snowflake using dbt Build curated, reusable data layers that support More ❯

Responsibilities Develop and maintain infrastructure for our SaaS platform that delivers AI-driven computer vision tools to researchers and scientists. Collaborate with a multidisciplinary team of machine learning engineers, data scientists, software developers, and biologists. Build and support GPU-accelerated environments for training and real-time inference of deep learning models. Deploy and manage ML pipelines using tools like … Docker, Kubernetes, and frameworks such as Kubeflow or Ray. Create and document APIs that enable internal and external users to access data and model outputs. Implement secure authentication and authorization systems for platform users. Maintain and improve our cloud platform’s reliability, security, and compliance (e.g., GDPR, HIPAA readiness). Automate testing, training, and deployment of models through robust … CI/CD pipelines. Monitor and troubleshoot performance issues across data and inference workflows in production. What We’re Looking For 5+ years of experience in DevOps, MLOps, SRE, or Data Engineering roles. Strong proficiency with public cloud platforms (e.g., GCP, AWS, or Azure), with preference for GCP. Expertise in Terraform and infrastructure-as-code practices. Solid experience More ❯

Responsibilities Develop and maintain infrastructure for our SaaS platform that delivers AI-driven computer vision tools to researchers and scientists. Collaborate with a multidisciplinary team of machine learning engineers, data scientists, software developers, and biologists. Build and support GPU-accelerated environments for training and real-time inference of deep learning models. Deploy and manage ML pipelines using tools like … Docker, Kubernetes, and frameworks such as Kubeflow or Ray. Create and document APIs that enable internal and external users to access data and model outputs. Implement secure authentication and authorization systems for platform users. Maintain and improve our cloud platform’s reliability, security, and compliance (e.g., GDPR, HIPAA readiness). Automate testing, training, and deployment of models through robust … CI/CD pipelines. Monitor and troubleshoot performance issues across data and inference workflows in production. What We’re Looking For 5+ years of experience in DevOps, MLOps, SRE, or Data Engineering roles. Strong proficiency with public cloud platforms (e.g., GCP, AWS, or Azure), with preference for GCP. Expertise in Terraform and infrastructure-as-code practices. Solid experience More ❯

Responsibilities Develop and maintain infrastructure for our SaaS platform that delivers AI-driven computer vision tools to researchers and scientists. Collaborate with a multidisciplinary team of machine learning engineers, data scientists, software developers, and biologists. Build and support GPU-accelerated environments for training and real-time inference of deep learning models. Deploy and manage ML pipelines using tools like … Docker, Kubernetes, and frameworks such as Kubeflow or Ray. Create and document APIs that enable internal and external users to access data and model outputs. Implement secure authentication and authorization systems for platform users. Maintain and improve our cloud platform’s reliability, security, and compliance (e.g., GDPR, HIPAA readiness). Automate testing, training, and deployment of models through robust … CI/CD pipelines. Monitor and troubleshoot performance issues across data and inference workflows in production. What We’re Looking For 5+ years of experience in DevOps, MLOps, SRE, or Data Engineering roles. Strong proficiency with public cloud platforms (e.g., GCP, AWS, or Azure), with preference for GCP. Expertise in Terraform and infrastructure-as-code practices. Solid experience More ❯

Responsibilities Develop and maintain infrastructure for our SaaS platform that delivers AI-driven computer vision tools to researchers and scientists. Collaborate with a multidisciplinary team of machine learning engineers, data scientists, software developers, and biologists. Build and support GPU-accelerated environments for training and real-time inference of deep learning models. Deploy and manage ML pipelines using tools like … Docker, Kubernetes, and frameworks such as Kubeflow or Ray. Create and document APIs that enable internal and external users to access data and model outputs. Implement secure authentication and authorization systems for platform users. Maintain and improve our cloud platform’s reliability, security, and compliance (e.g., GDPR, HIPAA readiness). Automate testing, training, and deployment of models through robust … CI/CD pipelines. Monitor and troubleshoot performance issues across data and inference workflows in production. What We’re Looking For 5+ years of experience in DevOps, MLOps, SRE, or Data Engineering roles. Strong proficiency with public cloud platforms (e.g., GCP, AWS, or Azure), with preference for GCP. Expertise in Terraform and infrastructure-as-code practices. Solid experience More ❯

Responsibilities Develop and maintain infrastructure for our SaaS platform that delivers AI-driven computer vision tools to researchers and scientists. Collaborate with a multidisciplinary team of machine learning engineers, data scientists, software developers, and biologists. Build and support GPU-accelerated environments for training and real-time inference of deep learning models. Deploy and manage ML pipelines using tools like … Docker, Kubernetes, and frameworks such as Kubeflow or Ray. Create and document APIs that enable internal and external users to access data and model outputs. Implement secure authentication and authorization systems for platform users. Maintain and improve our cloud platform’s reliability, security, and compliance (e.g., GDPR, HIPAA readiness). Automate testing, training, and deployment of models through robust … CI/CD pipelines. Monitor and troubleshoot performance issues across data and inference workflows in production. What We’re Looking For 5+ years of experience in DevOps, MLOps, SRE, or Data Engineering roles. Strong proficiency with public cloud platforms (e.g., GCP, AWS, or Azure), with preference for GCP. Expertise in Terraform and infrastructure-as-code practices. Solid experience More ❯

Responsibilities Develop and maintain infrastructure for our SaaS platform that delivers AI-driven computer vision tools to researchers and scientists. Collaborate with a multidisciplinary team of machine learning engineers, data scientists, software developers, and biologists. Build and support GPU-accelerated environments for training and real-time inference of deep learning models. Deploy and manage ML pipelines using tools like … Docker, Kubernetes, and frameworks such as Kubeflow or Ray. Create and document APIs that enable internal and external users to access data and model outputs. Implement secure authentication and authorization systems for platform users. Maintain and improve our cloud platform’s reliability, security, and compliance (e.g., GDPR, HIPAA readiness). Automate testing, training, and deployment of models through robust … CI/CD pipelines. Monitor and troubleshoot performance issues across data and inference workflows in production. What We’re Looking For 5+ years of experience in DevOps, MLOps, SRE, or Data Engineering roles. Strong proficiency with public cloud platforms (e.g., GCP, AWS, or Azure), with preference for GCP. Expertise in Terraform and infrastructure-as-code practices. Solid experience More ❯

Responsibilities Develop and maintain infrastructure for our SaaS platform that delivers AI-driven computer vision tools to researchers and scientists. Collaborate with a multidisciplinary team of machine learning engineers, data scientists, software developers, and biologists. Build and support GPU-accelerated environments for training and real-time inference of deep learning models. Deploy and manage ML pipelines using tools like … Docker, Kubernetes, and frameworks such as Kubeflow or Ray. Create and document APIs that enable internal and external users to access data and model outputs. Implement secure authentication and authorization systems for platform users. Maintain and improve our cloud platform’s reliability, security, and compliance (e.g., GDPR, HIPAA readiness). Automate testing, training, and deployment of models through robust … CI/CD pipelines. Monitor and troubleshoot performance issues across data and inference workflows in production. What We’re Looking For 5+ years of experience in DevOps, MLOps, SRE, or Data Engineering roles. Strong proficiency with public cloud platforms (e.g., GCP, AWS, or Azure), with preference for GCP. Expertise in Terraform and infrastructure-as-code practices. Solid experience More ❯

Prestigious opportunity for a Data Platform Engineer within a pioneering technology team based in Manchester. Following a period of significant growth, investment and a cloud transformation, we are inviting you to join our success story! As our Azure Data Platform Engineer, you will be responsible for:- Designing, building, and maintaining scalable data solutions on Microsoft Azure. Designing … and implementing scalable data pipelines using Azure Data Factory, Databricks, Synapse Analytics, and other Azure services. Leading technical workstreams and supporting project delivery. Acting as the subject-matter expert for cloud-based data engineering. Ensure data governance, security, and compliance standards are met. Monitoring and troubleshooting data platform performance and issues. Automate data ingestion … transformation, and integration processes. Document technical solutions and maintain best practices. If you possess a combination of some of the following skills, then LETS TALK! Proven experience with Azure data services (SQL, Data Factory, Data Lake, Synapse, Databricks, Azure SQL and Cosmos DB). Strong proficiency in designing and operating scalable data solutions and pipelines. Familiar More ❯