801 to 825 of 869 Data Engineering Jobs in England

in the financial services sector? We’re hiring AI Engineers to join a global organisation undergoing major digital transformation. You’ll work on real-world automation, machine learning, and data-driven strategy initiatives that power critical functions across a large-scale financial environment. About the Role As an AI Engineer, you’ll design, build, and deploy AI and automation … solutions that modernise business processes, enhance decision-making, and drive operational efficiency. You’ll collaborate with cross-functional teams—including business strategy, operations, and engineering—to translate complex problems into scalable AI systems. This is a fantastic opportunity for someone who wants to grow in a high-performance environment and solve meaningful challenges within a regulated financial ecosystem. Key … Responsibilities ✅ Develop and deploy machine learning models and automation workflows ✅ Build data pipelines and integrate models into business systems ✅ Analyse financial and operational datasets to uncover insights ✅ Work with stakeholders to translate business needs into AI solutions ✅ Collaborate on AI governance, compliance, and model lifecycle management ✅ Optimise existing models for performance, reliability, and accuracy ✅ Contribute to digital transformation initiatives More ❯

SQL Analyst, CDP & CRM Segmentation London based – hybrid working – 3 days on site 3-6 Month contract – Inside IR35 We’re standing up a Customer Data Platform (CDP) and need a hands-on SQL analyst to tighten audience segmentation, productionise segmentation logic in the warehouse, and push curated traits into Braze so CRM can operate campaigns without overloading the … data team. What you’ll do Own audience & trait definition Translate CRM/Marketing objectives into precise, reusable audience and trait specs Build and maintain warehouse-first segmentation tables/views with clear SLOs and documentation. Ship reliable data to Braze Design pipelines to push curated traits and audiences to Braze , including change-data capture and dependency … Braze counts vs. warehouse truth to ensure high confidence. Unblock campaign operations Create a self-serve library of SQL snippets, views, so CRM can launch campaigns without ad-hoc data requests. Implement suppression logic (deliverability, compliance, frequency caps) and guardrails. Partner across teams Work closely with Data Engineering, CRM, BI and Product to align event/identity More ❯

SQL Analyst, CDP & CRM Segmentation London based – hybrid working – 3 days on site 3-6 Month contract – Inside IR35 We’re standing up a Customer Data Platform (CDP) and need a hands-on SQL analyst to tighten audience segmentation, productionise segmentation logic in the warehouse, and push curated traits into Braze so CRM can operate campaigns without overloading the … data team. What you’ll do Own audience & trait definition Translate CRM/Marketing objectives into precise, reusable audience and trait specs Build and maintain warehouse-first segmentation tables/views with clear SLOs and documentation. Ship reliable data to Braze Design pipelines to push curated traits and audiences to Braze , including change-data capture and dependency … Braze counts vs. warehouse truth to ensure high confidence. Unblock campaign operations Create a self-serve library of SQL snippets, views, so CRM can launch campaigns without ad-hoc data requests. Implement suppression logic (deliverability, compliance, frequency caps) and guardrails. Partner across teams Work closely with Data Engineering, CRM, BI and Product to align event/identity More ❯

A rapidly growing B2B SaaS company is looking for a Forward Deployed Data Engineer to join their expanding team in London (hybrid working - 2-3 days a week in their vibrant Soho office). logy and delivery - adapting and deploying the platform for new clients, building custom data pipelines, and creating scalable AI workflows that bring real business … impact. What you'll do: Deploy and customise a powerful data platform for global clients Build and optimise pipelines using PySpark, Python, and SQL Design scalable AI workflows with tools like Palantir Collaborate with client teams to deliver data-driven outcomes What we're looking for: 2-4 years' experience in data engineering or analytics Hands More ❯

A rapidly growing B2B SaaS company is looking for a Forward Deployed Data Engineer to join their expanding team in London (hybrid working - 2-3 days a week in their vibrant Soho office). logy and delivery - adapting and deploying the platform for new clients, building custom data pipelines, and creating scalable AI workflows that bring real business … impact. What you'll do: Deploy and customise a powerful data platform for global clients Build and optimise pipelines using PySpark, Python, and SQL Design scalable AI workflows with tools like Palantir Collaborate with client teams to deliver data-driven outcomes What we're looking for: 2-4 years' experience in data engineering or analytics Hands More ❯

with an average of between £19,000 and £36,000 in profit share Softwire is one of the UK's leading technology consultancies, offering services in software engineering, design, innovation, cloud, mobile, data and AI. We deliver high-profile and cutting-edge digital projects for household names across the public and private sectors. Softwire was founded on one … experience in technical roles, including at least 4 years in an agency/consultancy context. You have deep knowledge and proven experience in least one of the following areas: Data engineering Cloud platform architecture/migration (AWS and/or Azure) Digital platform architecture and enterprise modernisation AI engineering You have a track record delivering high-value More ❯

with an average of between £19,000 and £36,000 in profit share Softwire is one of the UK's leading technology consultancies, offering services in software engineering, design, innovation, cloud, mobile, data and AI. We deliver high-profile and cutting-edge digital projects for household names across the public and private sectors. Softwire was founded on one … experience in technical roles, including at least 4 years in an agency/consultancy context. You have deep knowledge and proven experience in least one of the following areas: Data engineering Cloud platform architecture/migration (AWS and/or Azure) Digital platform architecture and enterprise modernisation AI engineering You have a track record delivering high-value More ❯

Job Post: Data & Analytics - Gen AI Engineer (Contract) A Leading Technology Consulting Firm Job Title: Data & Analytics - Gen AI Engineer Contract Duration: 6 Months+ Location: Primarily remote, with pre-agreed, company-covered travel if needed) IR35 Status: Inside IR35 Start Date (Approx.): November 2025 The Project: AI Transformation Initiative We are seeking a highly skilled and specialized Generative … Development: Build, fine-tune, and deploy LLM-based applications such as advanced chatbots, summarization tools, document Q&A systems, and code assistants. Advanced Techniques: Apply sophisticated techniques like Prompt Engineering , Retrieval-Augmented Generation (RAG) , and context-aware pipelines to maximize model accuracy and relevance. Integration: Seamlessly integrate deployed AI models with existing enterprise systems, APIs, and data stores … Azure ML). Expertise in managing model evaluation, drift monitoring, and continuous improvement processes. Strong focus on optimizing inference performance and cost (e.g., model compression, quantization, API optimization). Data Engineering for Generative AI: Experience in preparing and curating diverse training datasets (structured/unstructured text, images, code). Deep knowledge of data preprocessing, tokenization, and embedding More ❯

Job Post: Data & Analytics - Gen AI Engineer (Contract) A Leading Technology Consulting Firm Job Title: Data & Analytics - Gen AI Engineer Contract Duration: 6 Months+ Location: Primarily remote, with pre-agreed, company-covered travel if needed) IR35 Status: Inside IR35 Start Date (Approx.): November 2025 The Project: AI Transformation Initiative We are seeking a highly skilled and specialized Generative … Development: Build, fine-tune, and deploy LLM-based applications such as advanced chatbots, summarization tools, document Q&A systems, and code assistants. Advanced Techniques: Apply sophisticated techniques like Prompt Engineering , Retrieval-Augmented Generation (RAG) , and context-aware pipelines to maximize model accuracy and relevance. Integration: Seamlessly integrate deployed AI models with existing enterprise systems, APIs, and data stores … Azure ML). Expertise in managing model evaluation, drift monitoring, and continuous improvement processes. Strong focus on optimizing inference performance and cost (e.g., model compression, quantization, API optimization). Data Engineering for Generative AI: Experience in preparing and curating diverse training datasets (structured/unstructured text, images, code). Deep knowledge of data preprocessing, tokenization, and embedding More ❯

Description We are seeking a skilled Palantir Developer to join our data engineering team. You will leverage Palantir Foundry to design, develop, and maintain data pipelines, models, and applications that enable advanced analytics and operational insights across the organization. Skills Palantir Gotham Foundry SQL ETL Python Linux Java Systems Engineering Job Title: Palantir Developer Location: London … collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at our website. To access our Online Privacy Notice, which explains what information we may collect … about you, and describes your rights and choices about this, please go our website. We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group More ❯

Platform Engineer – Fintech Trading Firm London (Hybrid) Salary: £70,000 + Bonus We’re partnered with a leading fintech trading firm that’s building the next generation of its data and AI platform on Google Cloud. This role sits at the heart of their technology foundation creating a scalable, secure, and fully automated cloud environment powering trading, data engineering, and core systems. You’ll work alongside talented engineers in a collaborative culture that values curiosity, efficiency, and innovation. What you’ll be doing Building and scaling the firm’s GCP infrastructure — networking, IAM, security, and “everything as code” using Terraform/Terramate Developing a self-healing architecture with GKE (Kubernetes) at its core Supporting key platforms … to automate and optimise — with a pragmatic, problem-solving mindset Great communication skills and a collaborative, customer-focused approach Familiarity with CI/CD (GitLab), and an interest in data or observability tools is a plus A STEM degree (2:1 or higher) or equivalent hands-on experience Why join Work with a modern, cloud-native stack at scale More ❯

Platform Engineer – Fintech Trading Firm London (Hybrid) Salary: £70,000 + Bonus We’re partnered with a leading fintech trading firm that’s building the next generation of its data and AI platform on Google Cloud. This role sits at the heart of their technology foundation creating a scalable, secure, and fully automated cloud environment powering trading, data engineering, and core systems. You’ll work alongside talented engineers in a collaborative culture that values curiosity, efficiency, and innovation. What you’ll be doing Building and scaling the firm’s GCP infrastructure — networking, IAM, security, and “everything as code” using Terraform/Terramate Developing a self-healing architecture with GKE (Kubernetes) at its core Supporting key platforms … to automate and optimise — with a pragmatic, problem-solving mindset Great communication skills and a collaborative, customer-focused approach Familiarity with CI/CD (GitLab), and an interest in data or observability tools is a plus A STEM degree (2:1 or higher) or equivalent hands-on experience Why join Work with a modern, cloud-native stack at scale More ❯

/LLMOps practices with MLflow, Weights & Biases, and Kubeflow. ?? Youll Bring Strong Python skills and experience with LangChain, Transformers, Hugging Face. Solid grasp of LLM behavior, prompt optimization, and data engineering. Familiarity with vector databases (FAISS, Pinecone, ChromaDB). Hands-on with Linux, Bash/Powershell scripting, cloud environments. Creative problem-solver with excellent communication and collaboration skills. Curious More ❯

Title: AI Architect – Talent Assessment and Capability Evaluation Location: Hybrid (London/Paris) Preferred Role Summary The AI Architect will play a key role in evaluating organizational AI and data talent readiness. This role focuses on assessing technical capability , designing evaluation frameworks , and identifying readiness gaps across multiple AI and data teams. The architect will define what “good … ecosystems, and the ability to translate complex technical knowledge into clear evaluation criteria and insights. Key Responsibilities • Capability Framework Design: Develop and refine the assessment framework for AI and data technical roles — including architecture, MLOps, and applied AI functions. • Question and Exercise Creation: Design technical and scenario-based questions to assess AI understanding, solution design ability, and architectural thinking. … and architectural capability maturity. • Advisory Role: Provide thought leadership on AI architecture principles, tooling ecosystems, and governance relevant to enterprise AI scaling. Qualifications • 8+ years of experience in AI, data engineering, or software architecture with exposure to enterprise AI ecosystems. • Strong grasp of AI system design principles (data pipelines, model lifecycle, orchestration, governance) even if not hands More ❯

Title: AI Architect – Talent Assessment and Capability Evaluation Location: Hybrid (London/Paris) Preferred Role Summary The AI Architect will play a key role in evaluating organizational AI and data talent readiness. This role focuses on assessing technical capability , designing evaluation frameworks , and identifying readiness gaps across multiple AI and data teams. The architect will define what “good … ecosystems, and the ability to translate complex technical knowledge into clear evaluation criteria and insights. Key Responsibilities • Capability Framework Design: Develop and refine the assessment framework for AI and data technical roles — including architecture, MLOps, and applied AI functions. • Question and Exercise Creation: Design technical and scenario-based questions to assess AI understanding, solution design ability, and architectural thinking. … and architectural capability maturity. • Advisory Role: Provide thought leadership on AI architecture principles, tooling ecosystems, and governance relevant to enterprise AI scaling. Qualifications • 8+ years of experience in AI, data engineering, or software architecture with exposure to enterprise AI ecosystems. • Strong grasp of AI system design principles (data pipelines, model lifecycle, orchestration, governance) even if not hands More ❯

Specialist (Agentic AI), you will be responsible to lead the design, integration, testing, and deployment of Agentic AI applications. This role demands deep technical expertise across cloud infrastructure, APIs, data engineering and enterprise connectivity; with hands-on experience in troubleshooting, DevOps, and cross-platform integration. Key responsibilities: System Integration & Architecture - Design and implementation of solution integrations across Databricks …/Production environments. - Manage CI/CD pipelines using Azure DevOps. Access & Security Management - Implement authorization code flows and manage access tokens for user profile extraction. - Coordinate with cloud engineering teams to provision secure access to Databricks Mosaic AI and other services. Collaboration & Leadership - Work closely with stakeholders, architects, developers & DevOps teams. - Mentor junior engineers and contribute to cross … bug fixes, and deployment blockers. -Troubleshoot integration failures and lead resolution efforts with internal and external stakeholders. Your Profile Essential skills/knowledge/experience: Strong proficiency in Azure Data Services, Databricks, Snowflake, ServiceNow APIs, SAP connectors, Mulesoft, RESTful APIs, OAuth2, SQL, Python, .NET, NodeJS Experience with DevOps tools (Azure DevOps, Terraform, CI/CD pipelines). Proven track More ❯

Senior Data Engineer Location: Trowbridge (Hybrid, 2 days in office) Salary: £70,000 Be part of a forward-thinking data and analytics team shaping the future of our client's operations across the UK, Ireland, and North America. This is a fantastic opportunity to lead data infrastructure projects, including a major cloud migration to Azure, and support … strategic analytics initiatives for both B2C and B2B businesses. Key Responsibilities: Manage and optimize cloud-based data infrastructure (Azure). Lead the migration of data environments to Azure. Maintain high-quality, secure data pipelines with a strong focus on governance. Mentor and support a Data Engineer apprentice. Collaborate across teams to enhance reporting, analytics, and business … intelligence solutions. What You Bring: 5+ years of experience in SQL production environments and data engineering. Strong expertise in SQL, T-SQL, Azure, DataBricks, and SSIS. Experience with data integration, modeling, and performance optimization. Problem-solving mindset and a collaborative approach. Desirable: Experience handling data from APIs and secure protocols. Familiarity with visualization tools (Tableau preferred). More ❯

Your New Role We're looking for a Senior Data Scientist to lead the development and application of advanced analytics and machine learning techniques that answer complex business questions and drive strategic decisions. You'll work closely with data engineering and business teams to design models and analytical solutions that improve customer experience, optimise operations, and support More ❯

Your New Role We're looking for a Senior Data Scientist to lead the development and application of advanced analytics and machine learning techniques that answer complex business questions and drive strategic decisions. You'll work closely with data engineering and business teams to design models and analytical solutions that improve customer experience, optimise operations, and support More ❯

to help shape the future of our Dart platform, a critical infrastructure that supports Quantitative and Strat developers in building next-generation trading solutions. This is not just another engineering role. You’ll work side-by-side with front-office traders and quants, creating bespoke Generative AI tools that directly impact trading performance. If you’re passionate about building … scalable systems using AWS services and Kubernetes. Contribute to best practices for AI/ML infrastructure and mentor junior engineers when needed. Work across organisational boundaries and champion modern engineering trends. Stay ahead of the curve in Generative AI, ML infrastructure, and cloud-native tooling. Tech Stack Programming: Python (Java familiarity is a plus). AWS: S3, Kinesis, Glue … Visibility: Be a big player in a small, high-impact team with exposure across the organization. What We’re Looking For 5 – 10 years of experience in software/data engineering, ideally in platform or infra roles. Strong programming skills in Python; passion for code quality and testing. Demonstrable experience applying Generative AI concepts (ideally in a front More ❯

to help shape the future of our Dart platform, a critical infrastructure that supports Quantitative and Strat developers in building next-generation trading solutions. This is not just another engineering role. You’ll work side-by-side with front-office traders and quants, creating bespoke Generative AI tools that directly impact trading performance. If you’re passionate about building … scalable systems using AWS services and Kubernetes. Contribute to best practices for AI/ML infrastructure and mentor junior engineers when needed. Work across organisational boundaries and champion modern engineering trends. Stay ahead of the curve in Generative AI, ML infrastructure, and cloud-native tooling. Tech Stack Programming: Python (Java familiarity is a plus). AWS: S3, Kinesis, Glue … Visibility: Be a big player in a small, high-impact team with exposure across the organization. What We’re Looking For 5 – 10 years of experience in software/data engineering, ideally in platform or infra roles. Strong programming skills in Python; passion for code quality and testing. Demonstrable experience applying Generative AI concepts (ideally in a front More ❯

Analytics Engineer £60-75K London (5 days/week on-site) Permanent Bridge the gap between data engineering and analytics A major logistics company is undergoing a full rebuild of its legacy, siloed data estate - and we're hiring an experienced Analytics Engineer to help drive the transformation. You'll join a newly formed data team under a new Head of Data, working on a clean-slate Azure-based p click apply for full job details More ❯

translate them into technical requirements Research emerging AI technologies to propose the most effective solutions Design scalable, practical AI architectures to solve complex client problems Collaborate with engineers and data specialists to turn concepts into reality Produce technical documentation and present solutions to both technical and non-technical stakeholders Keep pace with new developments across AI, ML, and automation … Required Skills and Experience Strong understanding of AI and machine learning technologies, including LLMs, NLP, and data pipelines Proven experience in solution design, technical consulting, or pre-sales Ability to communicate complex concepts clearly to varied audiences Familiarity with cloud AI environments such as Azure AI, AWS Sagemaker, or GCP Vertex A natural problem solver with curiosity for cutting … edge tools and frameworks Desirable Experience Experience delivering AI or ML solutions in a commercial or consultancy setting Knowledge of data engineering, MLOps, or automation workflows Previous experience engaging directly with clients and senior stakeholders Why Join This is an opportunity to join a fast-scaling AI business at a defining stage of its growth. You’ll be More ❯

translate them into technical requirements Research emerging AI technologies to propose the most effective solutions Design scalable, practical AI architectures to solve complex client problems Collaborate with engineers and data specialists to turn concepts into reality Produce technical documentation and present solutions to both technical and non-technical stakeholders Keep pace with new developments across AI, ML, and automation … Required Skills and Experience Strong understanding of AI and machine learning technologies, including LLMs, NLP, and data pipelines Proven experience in solution design, technical consulting, or pre-sales Ability to communicate complex concepts clearly to varied audiences Familiarity with cloud AI environments such as Azure AI, AWS Sagemaker, or GCP Vertex A natural problem solver with curiosity for cutting … edge tools and frameworks Desirable Experience Experience delivering AI or ML solutions in a commercial or consultancy setting Knowledge of data engineering, MLOps, or automation workflows Previous experience engaging directly with clients and senior stakeholders Why Join This is an opportunity to join a fast-scaling AI business at a defining stage of its growth. You’ll be More ❯

developers to design scalable, secure, and performant systems Proactively look to modernise our ETRM introducing increased tooling on top of our EOS application Ensure integration with existing trading platforms, data feeds, and risk systems. Innovation & Continuous Improvement Identify opportunities to leverage emerging technologies (e.g., AI/ML, cloud computing, data analytics) to enhance trading performance Drive continuous improvement … experience in technology delivery within a trading environment Strong understanding of LNG trading workflows, market dynamics, Freight Trading, Shipping Operations, and risk management Experience with trading platforms, ETRMs, and data analytics tools - experience of EOS and/or Endur would be particularly beneficial Excellent stakeholder management and communication skills - able to engage and influence with senior front office stakeholders … Experience in running modernisation/transformation programmes Technical background in software development, systems integration, or data engineering is advantageous Strong leadership and team management ability Strategic thinking and commercial acumen Problem-solving and analytical mindset Adaptability in a fast-paced trading environment Collaborative and proactive approach. Why should you apply? We're not a perfect place - but we More ❯