1,051 to 1,075 of 1,208 Data Pipeline Jobs in the UK excluding London

We’re partnered with a tier 1 consumer electronics business to hire a Data Analytics specialist (Korean Speaking). This position focuses on running, extending, and enhancing data analytics operations. The successful candidate will generate data reports, provide insights to senior management through digitalised documents, and gather information from various systems, including SCM and … ERP platforms. Key Responsibilities: Support data analytics tasks and initiatives for successful delivery Design and implement data pipelines for extraction, transformation, and loading Source and acquire data from relevant systems Analyse datasets to extract insights and share findings with stakeholders Transform raw data into structured formats for internal use Generate reports providing … stakeholders What We're Looking For: Degree-level education or equivalent Proficiency in the MS Office suite (Word, Excel, PowerPoint) Strong numerical background (mathematics, statistics, etc.) Experience in data gathering and proposal writing Analytical thinking and quick learning ability Excellent relationship building and interpersonal skills 1+ years MS Office experience Ability to evaluate large unstructured datasets Fluent in More ❯

We’re partnered with a tier 1 consumer electronics business to hire a Data Analytics specialist (Korean Speaking). This position focuses on running, extending, and enhancing data analytics operations. The successful candidate will generate data reports, provide insights to senior management through digitalised documents, and gather information from various systems, including SCM and … ERP platforms. Key Responsibilities: Support data analytics tasks and initiatives for successful delivery Design and implement data pipelines for extraction, transformation, and loading Source and acquire data from relevant systems Analyse datasets to extract insights and share findings with stakeholders Transform raw data into structured formats for internal use Generate reports providing … stakeholders What We're Looking For: Degree-level education or equivalent Proficiency in the MS Office suite (Word, Excel, PowerPoint) Strong numerical background (mathematics, statistics, etc.) Experience in data gathering and proposal writing Analytical thinking and quick learning ability Excellent relationship building and interpersonal skills 1+ years MS Office experience Ability to evaluate large unstructured datasets Fluent in More ❯

clinical documentation. Key Responsibilities Develop and integrate protocol creation features into an AI platform Build front-end components, document generation (DOCX via Jinja2), and template logic Implement secure data pipelines (Study Builder API, Databricks integration) Develop backend content databases and business logic Support validation, testing, and optimization phases Manage Azure-based deployment and SaaS delivery Tech Stack Cloud … Azure (deployment, integration, hosting) Languages/Frameworks: Python, Jinja2, API development Data: Databricks, SQL, role-based data ingestion pipelines Delivery: SaaS, CI/CD pipelines Required Experience Proven Full Stack Development experience Strong knowledge of Azure cloud architecture and deployment Experience with SaaS and enterprise-scale applications Background in AI, data processing, or regulated More ❯

We are seeking an experienced Snowflake Developer to join a major data transformation programme in Manchester. You will be delivering scalable data pipelines, optimising performance and working closely with business stakeholders. Details • 6-Month Contract (likely extension) • Hybrid: 4 days onsite (Manchester) • Start: ASAP Core Skills • Strong Snowflake delivery experience • Advanced SQL (ANSI SQL) • Data Modelling: Dimensional, ER, Data Vault • Snowflake internals (roles, streams, tasks, policies) • Cloud data engineering experience • Python and GitLab You can apply directly via the link or feel free to message me for more details. Referrals are also welcome. More ❯

We are seeking an experienced Snowflake Developer to join a major data transformation programme in Manchester. You will be delivering scalable data pipelines, optimising performance and working closely with business stakeholders. Details 6-Month Contract (likely extension) Hybrid: 4 days onsite (Manchester) Start: ASAP Core Skills Strong Snowflake delivery experience Advanced SQL (ANSI SQL) Data Modelling: Dimensional, ER, Data Vault Snowflake internals (roles, streams, tasks, policies) Cloud data engineering experience Python and GitLab You can apply directly via the link or feel free to message me for more details. Referrals are also welcome. More ❯

Backend Engineer | 6 Month Contract | Remote (UK) We're looking for a Backend Engineer (Junior-Mid Level) to join a small, agile team building a data and intelligence platform used by enterprise clients. You'll work on high-performance backend services, APIs, and data pipelines, collaborating closely with frontend developers and data specialists. This … SQLModel/SQLAlchemy and relational database design. Knowledge of PostgreSQL and query optimisation. Extensive exposure to Celery Familiarity with AWS and CI/CD pipelines. (Bonus) Interest in data platforms, analytics, or cloud-native architecture (Bonus) Experience in data-heavy systems or B2B SaaS Key Responsibilities: Design, develop, and maintain backend services using Python and FastAPI … to power a data and intelligence platform Build and optimise database models with SQLModel and SQLAlchemy. Integrate with PostgreSQL databases and external APIs. Contribute to feature development, testing, and deployment. Collaborate with the frontend and data teams to deliver scalable solutions Own features end-to-end - from understanding the business context to shipping and maintaining production More ❯

AI to automate workflows, enhance decision-making, and unlock productivity across business functions like Finance, HR, and Operations. This is a client-facing delivery role within a leading Data & AI transformation consultancy, working alongside world-class data scientists, engineers, and strategists to move ideas from concept to production. 🔍 The Role Lead the definition and delivery of … Partner with business and technical stakeholders to identify high-value AI opportunities and shape product roadmaps. Translate requirements into actionable user stories and acceptance criteria for engineering and data teams. Collaborate closely with teams building solutions using RAG pipelines, LLMs, embeddings, and API integrations. Define and track KPIs such as accuracy, latency, adoption, and ROI — iterating based on … governance, and responsible AI. Foster agile, transparent, and outcome-driven ways of working across mixed client-consultancy teams. 💡 About You Proven experience as a Product Manager in AI, data, or enterprise technology environments. Hands-on exposure to AI MVPs, LLM applications, or applied ML use cases (e.g. RAG, copilots, generative search). Strong technical grounding in vector search More ❯

Job Title: Data Engineer Location: Manchester (hybrid) Type: Permanent Must have skills Working with AWS cloud services to manage and process data. Using AWS Glue for building and running data pipelines. Writing PySpark code in Python, along with SQL, to handle big data processing. Creating and running SQL queries to analyze and manage data More ❯

Job Title: Data Engineer Location: Manchester (hybrid) Type: Permanent Must have skills Working with AWS cloud services to manage and process data. Using AWS Glue for building and running data pipelines. Writing PySpark code in Python, along with SQL, to handle big data processing. Creating and running SQL queries to analyze and manage data More ❯

Job Title: Data Engineer Location: Manchester (hybrid) Type: Permanent Must have skills Working with AWS cloud services to manage and process data. Using AWS Glue for building and running data pipelines. Writing PySpark code in Python, along with SQL, to handle big data processing. Creating and running SQL queries to analyze and manage data More ❯

My client is a UK sovereign AI company developing secure, mission-critical artificial intelligence and data platforms for defence, national security, and strategic industry partners. Our systems operate at the intersection of Real Time data, autonomous decision support, and cloud-native infrastructure, with a strong emphasis on security, integrity, and performance. They are scaling rapidly and … engineers) delivering secure, scalable, and high-availability AI systems. Own AWS-based infrastructure: Lambda, EC2, S3, CloudFormation/Terraform, CloudWatch, and VPC security. Oversee JSON-based API integrations, data pipelines, and serverless event-driven architectures. Implement continuous integration and deployment (CI/CD) pipelines for code, models, and infrastructure. Ensure DevSecOps best practices - patching, logging, monitoring, and compliance … with UK MoD or ISO27001 frameworks. Manage incident response, uptime SLAs, and operational dashboards. Collaborate with software engineers, AI researchers, and data scientists to optimise cloud performance. Maintain documentation and enforce secure coding and deployment standards. Support accreditation, audits, and readiness for UK sovereign hosting environments (IL2-IL5). Report directly to the Head of Engineering/CTO More ❯

West England (Manchester/Liverpool corridor – hybrid, UK citizenship required) About the Company: My client is a UK sovereign AI company developing secure, mission-critical artificial intelligence and data platforms for defence, national security, and strategic industry partners. Our systems operate at the intersection of real-time data, autonomous decision support, and cloud-native infrastructure , with … engineers) delivering secure, scalable, and high-availability AI systems. Own AWS-based infrastructure : Lambda, EC2, S3, CloudFormation/Terraform, CloudWatch, and VPC security. Oversee JSON-based API integrations , data pipelines, and serverless event-driven architectures. Implement continuous integration and deployment (CI/CD) pipelines for code, models, and infrastructure. Ensure DevSecOps best practices — patching, logging, monitoring, and compliance … with UK MoD or ISO27001 frameworks. Manage incident response, uptime SLAs , and operational dashboards. Collaborate with software engineers, AI researchers, and data scientists to optimise cloud performance. Maintain documentation and enforce secure coding and deployment standards . Support accreditation, audits, and readiness for UK sovereign hosting environments (IL2–IL5). Report directly to the Head of Engineering/ More ❯

West England (Manchester/Liverpool corridor – hybrid, UK citizenship required) About the Company: My client is a UK sovereign AI company developing secure, mission-critical artificial intelligence and data platforms for defence, national security, and strategic industry partners. Our systems operate at the intersection of real-time data, autonomous decision support, and cloud-native infrastructure , with … engineers) delivering secure, scalable, and high-availability AI systems. Own AWS-based infrastructure : Lambda, EC2, S3, CloudFormation/Terraform, CloudWatch, and VPC security. Oversee JSON-based API integrations , data pipelines, and serverless event-driven architectures. Implement continuous integration and deployment (CI/CD) pipelines for code, models, and infrastructure. Ensure DevSecOps best practices — patching, logging, monitoring, and compliance … with UK MoD or ISO27001 frameworks. Manage incident response, uptime SLAs , and operational dashboards. Collaborate with software engineers, AI researchers, and data scientists to optimise cloud performance. Maintain documentation and enforce secure coding and deployment standards . Support accreditation, audits, and readiness for UK sovereign hosting environments (IL2–IL5). Report directly to the Head of Engineering/ More ❯

West England (Manchester/Liverpool corridor – hybrid, UK citizenship required) About the Company: My client is a UK sovereign AI company developing secure, mission-critical artificial intelligence and data platforms for defence, national security, and strategic industry partners. Our systems operate at the intersection of real-time data, autonomous decision support, and cloud-native infrastructure , with … engineers) delivering secure, scalable, and high-availability AI systems. Own AWS-based infrastructure : Lambda, EC2, S3, CloudFormation/Terraform, CloudWatch, and VPC security. Oversee JSON-based API integrations , data pipelines, and serverless event-driven architectures. Implement continuous integration and deployment (CI/CD) pipelines for code, models, and infrastructure. Ensure DevSecOps best practices — patching, logging, monitoring, and compliance … with UK MoD or ISO27001 frameworks. Manage incident response, uptime SLAs , and operational dashboards. Collaborate with software engineers, AI researchers, and data scientists to optimise cloud performance. Maintain documentation and enforce secure coding and deployment standards . Support accreditation, audits, and readiness for UK sovereign hosting environments (IL2–IL5). Report directly to the Head of Engineering/ More ❯

non-functional requirements. Co-design, pair on, and review the development work of other lead software developers. You’ll work on the entire company's backend code base: data models, algorithms, data pipelines, infrastructure, APIs, complex database queries, ML models. Learn, use, and improve best practices and processes for high-quality software development. Our technology stack More ❯

non-functional requirements. Co-design, pair on, and review the development work of other lead software developers. You’ll work on the entire company's backend code base: data models, algorithms, data pipelines, infrastructure, APIs, complex database queries, ML models. Learn, use, and improve best practices and processes for high-quality software development. Our technology stack More ❯

non-functional requirements. Co-design, pair on, and review the development work of other lead software developers. You’ll work on the entire company's backend code base: data models, algorithms, data pipelines, infrastructure, APIs, complex database queries, ML models. Learn, use, and improve best practices and processes for high-quality software development. Our technology stack More ❯

Azure | SQL | Microservices Remote-first | 5070k + Benefits Were looking for 2 x Full Stack Developer to join a fast-growing startup brand that work in the sports data analytics space. Youll work across a modern tech stack, collaborate with Product, Data and Client teams, and play a hands-on role in rebuilding and evolving their … a monolith to microservices and drive UI/UX improvements. Work closely with Product leadership to design well-architected, scalable systems. Build and maintain third-party integrations (APIs, data pipelines). Take ownership of code quality, peer reviews, and documentation. Contribute ideas, challenge assumptions, and help shape future architecture. What were looking for 5+ years experience with C# … . Experience with Azure , CI/CD pipelines, and SQL Server. Confident communicator with solid problem-solving and analytical thinking. Enjoys autonomy but thrives in collaboration. Curious about data, analytics, and how tech can drive participation in sport. Why join Remote-first , with flexibility to work from anywhere Competitive salary (5070k) + share options. Wellness & fitness allowance More ❯

mobility, and retail, transforming cutting-edge machine learning into production-ready solutions that reach millions. You’ll work end-to-end across the ML lifecycle, from experimentation and data pipelines to deployment and monitoring, helping shape how AI moves from research into real-world impact. What You’ll Do Design, implement, and optimise ML models for large-scale … behavioural and temporal datasets Build and maintain robust, cloud-based data and model pipelines Deploy, monitor, and iterate on production ML systems (forecasting, classification, behavioural modelling) Collaborate with data scientists, software engineers, and product teams to deliver scalable, explainable AI solutions Contribute to MLOps best practices , experimentation frameworks, and model governance Why Join Work with a More ❯

mobility, and retail, transforming cutting-edge machine learning into production-ready solutions that reach millions. You’ll work end-to-end across the ML lifecycle, from experimentation and data pipelines to deployment and monitoring, helping shape how AI moves from research into real-world impact. What You’ll Do Design, implement, and optimise ML models for large-scale … behavioural and temporal datasets Build and maintain robust, cloud-based data and model pipelines Deploy, monitor, and iterate on production ML systems (forecasting, classification, behavioural modelling) Collaborate with data scientists, software engineers, and product teams to deliver scalable, explainable AI solutions Contribute to MLOps best practices , experimentation frameworks, and model governance Why Join Work with a More ❯

mobility, and retail, transforming cutting-edge machine learning into production-ready solutions that reach millions. You’ll work end-to-end across the ML lifecycle, from experimentation and data pipelines to deployment and monitoring, helping shape how AI moves from research into real-world impact. What You’ll Do Design, implement, and optimise ML models for large-scale … behavioural and temporal datasets Build and maintain robust, cloud-based data and model pipelines Deploy, monitor, and iterate on production ML systems (forecasting, classification, behavioural modelling) Collaborate with data scientists, software engineers, and product teams to deliver scalable, explainable AI solutions Contribute to MLOps best practices , experimentation frameworks, and model governance Why Join Work with a More ❯

machine learning systems at the core of the companys clinical platform. Youll work closely with clinicians, product managers, and software engineers to transform complex healthcare challenges into robust, data-driven solutions. This is a hands-on role with broad impacttouching everything from model training and deployment to safety evaluation and infrastructure. Key Responsibilities: Design and implement NLP and … ML systems for clinical and conversational applications Build and maintain data pipelines, model training, fine-tuning, evaluation, and deployment workflows Collaborate cross-functionally to translate clinical requirements into scalable technical solutions Ensure safety, performance, and regulatory compliance of ML systems Contribute to technical strategy, architectural decisions, and mentoring within the ML team What Were Looking For Essential: 4+ … large language models (LLMs), embeddings, fine-tuning, and evaluation methods Advanced Python skills and experience with frameworks like PyTorch, TensorFlow, and HuggingFace Experience building full ML pipelines from data ingestion to deployment Solid software engineering practices including testing, version control, and CI/CD Strong communication and collaboration skills, especially with non-technical stakeholders Interest in applying AI More ❯

stores, and ops teams to see your code in action. 🧱 What You’ll Be Building Scalable backend services and operational tooling using Node.js, TypeScript, and AWS APIs and data pipelines to support logistics, supply chain, and real-time store operations Event-driven systems and distributed architecture for fast, fault-tolerant execution Back-office tools and dashboards for internal … teams—integrated directly with on-the-ground workflows Systems to optimise KPIs like order accuracy, worker productivity, and inventory speed 🔧 Tech Stack Backend: Node.js, TypeScript, Express Data: PostgreSQL, MongoDB, event streams Infra: AWS (Lambda, DynamoDB, EventBridge), GCP, Docker, CI/CD pipelines Architecture: Serverless, microservices, event-driven Tooling: Monitoring, dashboarding, dev tooling, cloud infra automation ✅ What You Bring … 5+ years backend experience with Node.js and TypeScript Deep experience with SQL/NoSQL databases and data modelling Strong understanding of cloud infrastructure (AWS or GCP) and DevOps Experience building and maintaining scalable APIs and backend systems Ability to lead architecture, define standards, and raise the bar for engineering quality Great collaborator with product, design, and ops teams More ❯

stores, and ops teams to see your code in action. 🧱 What You’ll Be Building Scalable backend services and operational tooling using Node.js, TypeScript, and AWS APIs and data pipelines to support logistics, supply chain, and real-time store operations Event-driven systems and distributed architecture for fast, fault-tolerant execution Back-office tools and dashboards for internal … teams—integrated directly with on-the-ground workflows Systems to optimise KPIs like order accuracy, worker productivity, and inventory speed 🔧 Tech Stack Backend: Node.js, TypeScript, Express Data: PostgreSQL, MongoDB, event streams Infra: AWS (Lambda, DynamoDB, EventBridge), GCP, Docker, CI/CD pipelines Architecture: Serverless, microservices, event-driven Tooling: Monitoring, dashboarding, dev tooling, cloud infra automation ✅ What You Bring … 5+ years backend experience with Node.js and TypeScript Deep experience with SQL/NoSQL databases and data modelling Strong understanding of cloud infrastructure (AWS or GCP) and DevOps Experience building and maintaining scalable APIs and backend systems Ability to lead architecture, define standards, and raise the bar for engineering quality Great collaborator with product, design, and ops teams More ❯

stores, and ops teams to see your code in action. 🧱 What You’ll Be Building Scalable backend services and operational tooling using Node.js, TypeScript, and AWS APIs and data pipelines to support logistics, supply chain, and real-time store operations Event-driven systems and distributed architecture for fast, fault-tolerant execution Back-office tools and dashboards for internal … teams—integrated directly with on-the-ground workflows Systems to optimise KPIs like order accuracy, worker productivity, and inventory speed 🔧 Tech Stack Backend: Node.js, TypeScript, Express Data: PostgreSQL, MongoDB, event streams Infra: AWS (Lambda, DynamoDB, EventBridge), GCP, Docker, CI/CD pipelines Architecture: Serverless, microservices, event-driven Tooling: Monitoring, dashboarding, dev tooling, cloud infra automation ✅ What You Bring … 5+ years backend experience with Node.js and TypeScript Deep experience with SQL/NoSQL databases and data modelling Strong understanding of cloud infrastructure (AWS or GCP) and DevOps Experience building and maintaining scalable APIs and backend systems Ability to lead architecture, define standards, and raise the bar for engineering quality Great collaborator with product, design, and ops teams More ❯