76 to 100 of 121 Data Pipeline Jobs in the North West

5+ years. Here are some things we’ve worked on recently that give a sense of the work we do:Building a data analytics tool using a Neo4J graph database.A DevOps platform to support 3000 users.Processing digital forensic data to enable search and insight generation.A search … backed by an ElasticSearch cluster.A custom workflow tool using Camunda, with a React/TS front-endAn AI assurance capabilityOrchestrating a data pipeline and designing specialist metrics for the evaluation of the performance of LLMs in different contexts.About the Role:As a Platform Engineer at Naimuri ...

about building and delivering transformative digital solutions for a diverse range of Public and Private sector clients. We are recruiting for a Senior Data Engineer to join our Hippo Herd. We work at the intersection of strategy, design, and technology to solve complex problems and create lasting value. … collaborative and agile culture empowers our teams to make a genuine impact. As a Senior Data Engineer, you will play an important role in making Hippo the best Consultancy out there. You will work as part of a multi-disciplinary team combining data, design, product, delivery ...

RoleWe are seeking a talented Senior Software Engineer to help build and run the data services and platform behind Datalex's dynamic pricing and offer optimisation. This is a Python-first, backend and infrastructure-focused role: you will work on end-to-end solutions — from robust application code … data pipelines through to APIs, infrastructure-as-code, and production monitoring.You will design and maintain the services that turn large volumes of pricing and offer data into fast, reliable, production-grade functionality, and you will help integrate machine learning and optimisation models into that pipeline. ...

5+ years. Here are some things we’ve worked on recently that give a sense of the work we do:Building a data analytics tool using a Neo4J graph database.A DevOps platform to support 3000 users.Processing digital forensic data to enable search and insight generation.A search … reporting system backed by an Elasticsearch cluster.A custom workflow tool with a React/TS front-endAn AI assurance capabilityOrchestrating a data pipeline and designing specialist metrics for the evaluation of the performance of LLMs in different contexts.About the Role:As a Senior Software Engineer, you will ...

5+ years. Here are some things we’ve worked on recently that give a sense of the work we do:Building a data analytics tool using a Neo4J graph database.A DevOps platform to support 3000 users.Processing digital forensic data to enable search and insight generation.A search … backed by an ElasticSearch cluster.A custom workflow tool using Camunda, with a React/TS front-endAn AI assurance capabilityOrchestrating a data pipeline and designing specialist metrics for the evaluation of the performance of LLMs in different contexts.About the Role:As a Senior Software Engineer, you will ...

5+ years. Here are some things we’ve worked on recently that give a sense of the work we do:Building a data analytics tool using a Neo4J graph database.A DevOps platform to support 3000 users.Processing digital forensic data to enable search and insight generation.A search … backed by an ElasticSearch cluster.A custom workflow tool using Camunda, with a React/TS front-endAn AI assurance capabilityOrchestrating a data pipeline and designing specialist metrics for the evaluation of the performance of LLMs in different contexts.About the Role:As a Software Engineer at Naimuri ...

Datalex is seeking a Senior Software Engineer specializing in Python-based AI/ML development to design and deploy machine learning features. The role involves building APIs, collaborating on CI/CD, and mentoring Junior ...

2026Req #23611Job descriptionConnect to your IndustryDo you want to be at the heart of some of the biggest and most ambitious AI & Data projects Technology & Transformation: How do you make intelligent, future-proof decisions in a world where change is the one constant? That's exactly what … help our clients to do. You'll build trusted relationships with business stakeholders - and use the most exciting new technologies available - to create data-driven programmes that transform their organisations.Your advice will help clients position their organisations to succeed in an ever-evolving marketplace.Connect to your career ...

about building and delivering transformative digital solutions for a diverse range of Public and Private sector clients. We are recruiting for a Lead Data Engineer to join our Hippo Herd. We work at the intersection of strategy, design, and technology to solve complex problems and create lasting value. … collaborative and agile culture empowers our teams to make a genuine impact. As a Lead Data Engineer, you will play an important role in making Hippo the best Consultancy out there. You will work as part of a multi-disciplinary team combining data, design, product, delivery ...

with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies 3+ years of experience within a data engineering or software development team Hands-on experience designing and developing data integration/ETL pipelines from diverse data sources … applying AI-assisted development tools (e.g., GitHub Copilot, generative AI coding assistants) to improve engineering productivity, code quality, and delivery efficiency Understanding of data engineering considerations for AI and machine learning workloads, including data quality, governance, lineage, and scalability requirements Education Bachelor's degree or equivalent ...

just prompt engineering. Solid evaluation and experimentation methodology for generative AI, focused on correctness, faithfulness, and robustness. Experience with large-scale, production-grade data pipelines, including performance, scalability, and reliability. Track record owning technical design and delivery of AI/ML systems in live, business-critical environments. Azure ...

security engineer and leading engineering initiatives in a DevSecOps environment. Strong expertise securing AI and ML systems at scale, including model lifecycle security, data pipelines, and secure deployment. Strong hands‐on experience with machine learning stacks, such as PyTorch, TensorFlow, MLflow, Kubeflow, or equivalent managed platforms (e.g. Vertex ...

ManchesterBusiness LineTechnology & TransformationJob TypePermanent/FTCDate published17-Aug-2026Req #24435Job descriptionConnect to your IndustryDo you want to be at the forefront of AI & Data transformation within Security & Justice, supporting organisations that operate in some of the most complex and sensitive environments Technology & Transformation: across the Security & Justice sector … organisations must balance innovation with strict requirements around security, resilience, ethics and public accountability. Data is at the core of this challenge, and AI has the potential to enhance operational efficiency, improve decision-making and enable new capabilities - but only when engineered responsibly and deployed at scale. That ...

published 17-Aug-2026 Req # 24438 Job description Connect to your IndustryDo you want to be at the heart of ambitious AI & Data programmes that help clients make better, faster and more trusted decisions Technology & Transformation: in industries where data, regulation, customer expectations and operational … hire talented AI/ML Engineers within our AI Scaling and Transformation team, a centre of excellence in Deloitte’s Engineering, AI & Data service offering.You will work alongside clients, third parties and Deloitte teams from across the Firm, supporting organisations as they design, build and scale AI-enabled ...

Developer, you will be responsible for designing, developing, enhancing, and supporting ETL solutions using IBM DataStage. You will work closely with business analysts, data architects, and downstream consumers to deliver reliable, scalable, and high-quality data integration solutions in a regulated banking environment. Key Responsibilities Design … develop, and maintain ETL jobs and sequences using IBM DataStage Develop end-to-end data pipelines from source systems to data warehouse/downstream platforms Create and maintain ETL design documents, mapping specifications, and technical documentation Perform data profiling, validation, and reconciliation to ensure ...

What We’re Looking For Proven track record designing or architecting distributed, high-volume systems Experience with event-driven architectures and high-throughput data pipelines (Kafka) Strong knowledge of at least one of: C#, .NET, Golang, or TypeScript , plus SQL/databases Ability to balance hands-on technical ...

Senior Data Engineer up to £100,000 + BENEFITS Fully Remote (UK)This is a great opportunity to join a high-growth organisation where you can take ownership of end-to-end data engineering delivery across modern cloud platforms and greenfield projects. THE ROLE: You will … Lead end-to-end data engineering projects, delivering scalable, reliable solutions from design through to deployment. Design, build, and optimise data pipelines and models Maintain high standards of data quality and engineering excellence through testing, monitoring, code reviews, and best practices. YOUR SKILLS ...

purpose is unique. We'd love you to join us. What skills, knowledge and experience will you need? Experience testing and validating data pipelines to ensure data accuracy, quality and reliability. Good understanding of data modelling principles and industry best practices. Experience developing … service analytics using Power BI or similar tools. Ability to gather, interpret and communicate business requirements with a range of stakeholders. Experience using data mining and code analysis techniques to assure data quality and resolve issues. Knowledge of Oracle Fusion reporting tools, including FDI/AIDP ...

Leading the design and implementation of production-grade AI systems, including LLM-powered applications, retrieval augmented generation, model serving, evaluation frameworks, AI agents, data pipelines, cloud-native infrastructure, and MLOps workflows. Making pragmatic technical decisions that balance delivery speed, reliability, security, maintainability, user needs and commercial constraints. Leading … experience writing and deploying production-grade Python software. This could include training and serving machine learning models, building large-scale inference services, integrating data stores, building APIs, or deploying AI-powered applications. Experience with machine learning or generative AI systems, such as LLM-powered applications, RAG pipelines, embeddings ...

organization’s technology communities to foster a culture of technical excellence and growth.Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions.Implementation of effective unit testing practices to ensure proper code design, readability, and reliability.Assistant Vice President ExpectationsTo advise and influence decision … work, for business aligned support areas to keep up to speed with business activity and the business strategy.Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively ...

Automation Engineer QA Automation Engineer - End to End Hybrid - 3 Days on-site | 400-500 per day (outside of IR35) | Technology & Data Shape the future of AI-powered quality engineering. We're working with an organisation that's embracing AI to transform the way software is tested … more than a traditional QA role. You'll be responsible for building robust, end-to-end automated test coverage across complex applications, data pipelines and reporting layers, while using the latest AI-assisted development tools to improve quality, speed and efficiency. Working closely with software engineers, data ...

into scalable business outcomes. Working within C&CA, you will design and deliver AI-powered solutions that enable organisations to unlock value from data, accelerate decision-making, and build future-ready capabilities. Aligned to our vision of Consult with Purpose. Continuously Evolve. Architect Tomorrow., you will collaborate with … create measurable business value. Integrate generative AI capabilities, knowledge retrieval approaches, and intelligent automation into robust cloud-based services. Develop scalable and secure data pipelines that enable reliable access to high-quality data for AI-driven outcomes. Ensure AI solutions are resilient, maintainable, and aligned with ...

identify architectural patternsMonitor compliance of cloud resources to see if they fit industry guardrails and best practicesResearch and propose solutions for AWS data transformation, data connections, operational frameworks, and application integrationWork closely with lead architects and engineers to create and maintain architectural templates and build/…/ML platforms and workloads on AWS (or multi‐cloud with strong AWS depth).Deep understanding of AI/ML solution patterns (data pipelines, training, inference, monitoring, and MLOps) and how they map onto AWS services (e.g. SageMaker, Batch, Step Functions, EKS/ECS, data lake ...

production systems using autonomous and AI-native platforms. This role requires a modern, hybrid engineering approach, blending infrastructure mastery with software development and data engineering principles. You will act as a technical expert on projects, building trusted relationships with client stakeholders, establishing engineering best practices, and mentoring engineers … self-service developer platforms that allow engineering teams to spin up compliant, ephemer environments automatically using GitOps workflows. AI & Agentic Infrastructure: Implement the data pipelines, workflow orchestrations, and specialised compute footprints needed to support enterprise AI applications, using technologies like AWS Bedrock and AWS AgentCore. Observability & Reliability: Build ...

production systems using autonomous and AI-native platforms. This role requires a modern, hybrid engineering approach, blending infrastructure mastery with software development and data engineering principles. You will act as a technical expert on projects, building trusted relationships with client stakeholders, establishing engineering best practices, and mentoring engineers … self-service developer platforms that allow engineering teams to spin up compliant, ephemerally environments automatically using GitOps workflows. AI & Agentic Infrastructure: Implement the data pipelines, workflow orchestrations, and specialised compute footprints needed to support enterprise AI applications, using technologies like AWS Bedrock and AWS AgentCore. Observability & Reliability: Build ...