626 to 650 of 1,005 Data Engineering Jobs in the UK

Group Data Operations Manager Hybrid - two days per week onsite in Central London £80k - £90k + bonus & benefits Step into a newly defined data operations management position at the centre of a major data transformation. You’ll lead a small, capable team responsible for the reliability, performance, and observability of modern data platforms that power decisions … across a complex, regulated organisation. This is a hands-on leadership role, part strategist, part problem-solver - shaping how data operations are delivered across a modern cloud environment (AWS and Azure). If you thrive on improving how data pipelines run, building resilient systems, and driving operational excellence, this is your chance to make a visible impact in … a high-profile business. What You’ll Do Lead data operations and second line support to ensure data pipelines, platforms, and integrations run reliably with full observability and proactive monitoring. Optimise performance across Snowflake and connected data platforms, driving continuous improvement and automation. Define and embed support models and operational standards for new data products and More ❯

Group Data Operations Manager Hybrid - two days per week onsite in Central London £80k - £90k + bonus & benefits Step into a newly defined data operations management position at the centre of a major data transformation. You’ll lead a small, capable team responsible for the reliability, performance, and observability of modern data platforms that power decisions … across a complex, regulated organisation. This is a hands-on leadership role, part strategist, part problem-solver - shaping how data operations are delivered across a modern cloud environment (AWS and Azure). If you thrive on improving how data pipelines run, building resilient systems, and driving operational excellence, this is your chance to make a visible impact in … a high-profile business. What You’ll Do Lead data operations and second line support to ensure data pipelines, platforms, and integrations run reliably with full observability and proactive monitoring. Optimise performance across Snowflake and connected data platforms, driving continuous improvement and automation. Define and embed support models and operational standards for new data products and More ❯

Senior Data Engineer - Azure & Databricks Lakehouse Glasgow (3/4 days onsite) | Exclusive Role with a Leading UK Consumer Business A rapidly scaling UK consumer brand is undertaking a major data modernisation programme-moving away from legacy systems, manual Excel reporting and fragmented data sources into a fully automated Azure Enterprise Landing Zone + Databricks Lakehouse . … They are building a modern data platform from the ground up using Lakeflow Declarative Pipelines , Unity Catalog , and Azure Data Factory , and this role sits right at the heart of that transformation. This is a rare opportunity to join early, influence architecture, and help define engineering standards, pipelines, curated layers and best practices that will support Operations … Finance, Sales, Logistics and Customer Care. If you want to build a best-in-class Lakehouse from scratch-this is the one. ? What You'll Be Doing Lakehouse Engineering (Azure + Databricks) Engineer scalable ELT pipelines using Lakeflow Declarative Pipelines , PySpark , and Spark SQL across a full Medallion Architecture (Bronze ? Silver ? Gold) . Implement ingestion patterns for files, APIs More ❯

Senior Data Platform Consultant (Delivery) Department: Data Engineering Employment Type: Full Time Location: Remote, UK Reporting To: Mark Todkill Compensation: £50,000 - £80,000/year Description A few application tips We want to help you put your best foot forward. Here are a few things we look for: Clear, specific examples of your work and impact … to apply. We value potential and growth just as much as experience. Why this role exists As Snap continues to scale, we're taking on more complex and strategic data projects across industries. From greenfield data warehouse builds to enterprise migrations, our clients rely on us to design and deliver robust, scalable solutions. We're looking for a … Senior Data Platform Consultant who can lead the design and delivery of these solutions, guide junior team members, and ensure the highest quality outcomes. This role is key to helping our clients unlock the full value of their data through thoughtful architecture, hands-on delivery, and strategic insight. You'll be joining a team that values curiosity, collaboration More ❯

Lead Data Engineer London/Hybrid Circa £95k-£100k + bonus + benefits Fabric, Azure, Python Lead Data Engineer with a strong Azure skillset is required by global business. This is a fantastic opportunity to shape the data landscape of a business that’s investing heavily in modern data platforms and looking for someone to set … the standard. You’ll join a small but highly capable data team that’s centralising and unifying data across multiple international divisions with the goal to create a single, coherent view of the business through a shared data ecosystem built on Microsoft Fabric. Key Responsibilities: Lead the effort to define and implement data engineering standards … across divisions. Collaborate with colleagues in the UK and Europe to unify data models and drive common practices. Troubleshoot and optimise pipelines and processes across Fabric, Databricks, and Azure Data Factory. Partner with engineers, analysts, and business leaders to ensure that data is consistent, reliable, and ready for advanced analytics. Help shape communities of practice and encourage More ❯

growing sources of threat intelligence to enable expedited threat hunting and remediation. Members of Cloudforce One are at the helm of leveraging an incredibly vast and varied set of data points that only one of the world's largest global networks can provide. The team is able to analyze these unique data points, at massive scale and efficiency … synthesizing findings into actionable threat intelligence to better protect our customers.The team's core disciplines are data engineering, data science, devops, and security. We use data science and machine learning to process large volumes of data and build threat intelligence for Cloudflare's customers About the Role We're looking for a Machine Learning Engineer … cybersecurity challenges at an unprecedented scale, we want you on our team. The candidate should have strong foundational machine learning knowledge. Day to day responsibilities include: Collaborate with other Data Scientists and Machine Learning Engineers to integrate and deploy scalable Machine Learning models Collaborate with analysts to understand new email attack techniques then design and deploy models to detect More ❯

solutions from prototype to production, and contributing directly to the company’s growth milestones. Key Responsibilities Backend APIs (Python/FastAPI) : Build secure, scalable services powering AI features and data retrieval. RAG & Vector Search : Design and iterate retrieval pipelines using chunking, embeddings, hybrid search, and feedback loops. LLM Integration : Work with OpenAI/Bedrock models, orchestrate prompts/responses … and implement guardrails and evaluations. Data Engineering : Ingest and transform structured/unstructured data; design schemas for analytics and retrieval. Frontend (React/Next.js) : Deliver fast, intuitive UIs that clearly expose AI capabilities. Architecture : Develop a modular platform on AWS ECS, separating ingestion, retrieval, reasoning, and delivery. Quality & Reliability : Implement testing, CI/CD, observability, and performance … reranking, and evaluation metrics. Solid experience with SQL and NoSQL databases (Postgres, DynamoDB). Familiarity with AI/ML models and APIs (LLMs, embeddings, vector search). Expertise in data engineering (ETL, schema design, performance tuning). Proficiency in AWS and containerized deployments (Docker, ECS). Strong grasp of secure coding practices and data handling. Excellent communication More ❯

Head of Data Technology London (Hybrid - 2x p/w) 3 Month Contract (potential extension) MBN Solutions are partnered with a leading, not-for-profit Medical Research organisation looking to hire a Head of Data Technology to shape and deliver its enterprise data vision.This senior leadership role will oversee the design, implementation, and optimisation of data platforms, governance, and analytics capabilities that enable smarter, data-driven decision-making across the organisation. Key responsibilities: Lead cross-functional teams in data engineering, management, governance, and analytics enablement. Define and deliver a scalable data and analytics architecture that supports organisational strategy. Drive continuous improvement in data platforms, ensuring quality, security, and compliance. Act … as a strategic partner to senior leaders, shaping the roadmap for data technologies and operations. Champion data governance and best practices, embedding them across teams and functions. About you: Proven experience leading large, cross-functional data teams in complex organisations. Deep understanding of modern data architectures, platforms, and tools (e.g. Snowflake, cloud ecosystems, AI/ML More ❯

Head of Data Technology London (Hybrid - 2x p/w) 3 Month Contract (potential extension) MBN Solutions are partnered with a leading, not-for-profit Medical Research organisation looking to hire a Head of Data Technology to shape and deliver its enterprise data vision.This senior leadership role will oversee the design, implementation, and optimisation of data platforms, governance, and analytics capabilities that enable smarter, data-driven decision-making across the organisation. Key responsibilities: Lead cross-functional teams in data engineering, management, governance, and analytics enablement. Define and deliver a scalable data and analytics architecture that supports organisational strategy. Drive continuous improvement in data platforms, ensuring quality, security, and compliance. Act … as a strategic partner to senior leaders, shaping the roadmap for data technologies and operations. Champion data governance and best practices, embedding them across teams and functions. About you: Proven experience leading large, cross-functional data teams in complex organisations. Deep understanding of modern data architectures, platforms, and tools (e.g. Snowflake, cloud ecosystems, AI/ML More ❯

models) for real-world enterprise use cases. Build and fine-tune LLM-based applications such as: Chatbots Document Q&A systems Report generators Code assistants Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy and relevance. Integrate AI models with enterprise systems, APIs, and data stores using Python, Java, or … through model compression, quantization, and API optimization. Ensure compliance with AI ethics, security, and governance standards. Prepare and curate training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma) for semantic search and retrieval. Partner with business stakeholders to identify and shape impactful … Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML). Strong understanding of data engineering, data pipelines, and ETL workflows. Excellent problem-solving, communication, and stakeholder engagement skills. Bachelor's or Master's degree in Computer Science, AI/ML, Data More ❯

BI Developer Hybrid – Ipswich (3 days onsite, Tuesday & Wednesday mandatory) Up to £45,000 Are you a BI Developer who loves turning raw data into meaningful, commercial insights? This is a fantastic opportunity to join a newly restructured data team that is transforming how the business uses analytics. REED Technology are working with an organisation that is rolling … out Pyramid Analytics as its central BI platform—replacing several legacy systems—and needs someone who can turn data into compelling stories, not just dashboards. If you thrive in stakeholder-facing roles, can communicate insights clearly, and enjoy working with modern BI tools, this role is for you. Responsibilities Taking ownership of BI development in the new Pyramid Analytics … decisions across the business. Translating stakeholder requirements into clear, actionable insights—your communication skills matter as much as your technical skills. Using SQL and Python to shape and model data for reporting and analytics. Ensuring data quality and performing data cleansing as required. Automating report delivery using tools such as Workato. Presenting insights directly to senior leaders More ❯

Product Manager We’re looking for a Product Manager to support a suite of bioinformatics and data engineering products within a leading pharmaceutical programme of work. You’ll work across scientific, technical, and business teams to develop cloud-based data solutions in Google Cloud that enable complex research, analytics, and operational workflows. Key Responsibilities Gather and document … product knowledge, including scientific workflows, data usage, and technical architecture. Analyse current data and bioinformatics processes and recommend modernisation opportunities. Translate user and scientific needs into clear product requirements and roadmap items. Act as the primary contact for stakeholders across R&D, clinical, commercial, and compliance functions. Lead product development activities, supporting Agile teams with context, prioritisation, and … requirement clarity. What You’ll Bring Experience in pharma, life sciences, or bioinformatics is essential. Strong understanding of data engineering concepts and cloud platforms (ideally GCP). Ability to define requirements for scientific or data products. Excellent communication and stakeholder-management skills. Hands-on experience with Agile delivery, Jira, and Confluence. Product Manager More ❯

We’re hiring an AI Data Engineer to turn 3D assets and visuals into high-quality datasets for next-gen AI in digital play. Own the full data pipeline and help build scalable, creative systems at the crossroads of AI, data, and fun RESPONSIBILITIES Design and operate data ingestion pipelines for 3D assets, geometry, images, video … annotation vendors, and automate quality checks to ensure scalable, reliable datasets. Define schemas and metadata for digital assets, maintaining catalogues, lineage, and versioning to ensure reproducibility and governance. Enforce data quality, drift detection, and compliance (GDPR/COPPA), including watermarking and traceability to safeguard IP and user privacy. Collaborate with AI infrastructure engineers to optimize data storage and … compute performance for large-scale processing. Work with AI engineers to define data specifications, support experimentation, and integrate active learning loops that improve AI models over time. REQUIREMENTS 3 years of proven experience in data engineering for ML/AI, with strong proficiency in Python, SQL, and distributed data processing (e.g., PySpark). Hands-on experience More ❯

We’re hiring an AI Data Engineer to turn 3D assets and visuals into high-quality datasets for next-gen AI in digital play. Own the full data pipeline and help build scalable, creative systems at the crossroads of AI, data, and fun RESPONSIBILITIES Design and operate data ingestion pipelines for 3D assets, geometry, images, video … annotation vendors, and automate quality checks to ensure scalable, reliable datasets. Define schemas and metadata for digital assets, maintaining catalogues, lineage, and versioning to ensure reproducibility and governance. Enforce data quality, drift detection, and compliance (GDPR/COPPA), including watermarking and traceability to safeguard IP and user privacy. Collaborate with AI infrastructure engineers to optimize data storage and … compute performance for large-scale processing. Work with AI engineers to define data specifications, support experimentation, and integrate active learning loops that improve AI models over time. REQUIREMENTS 3 years of proven experience in data engineering for ML/AI, with strong proficiency in Python, SQL, and distributed data processing (e.g., PySpark). Hands-on experience More ❯

Backend Engineer , you’ll play a critical role in building and scaling the core platform. Working directly with the CTO and founding team, you’ll design backend architecture, build data pipelines, and integrate AI/LLM components into production systems. Role Breakdown: 50% Backend Engineering: FastAPI, Flask, Node.js, CI/CD 30% Data Engineering: ETL, DBT … Airflow 20% AI/LLM Integration: LangChain, RAG pipelines, orchestration Key Responsibilities: Design and build backend services to support AI agent deployment Develop scalable data pipelines and integration layers Implement AI/LLM-powered features with LangChain and related frameworks Collaborate with the CTO and adoption engineering team to deliver production systems Contribute to architecture decisions for scalability … Team: 10-person founding group including CTO, Head of Front-End, and adoption engineers Reporting Line: CTO Visa: Cannot sponsor Ideal Profile: 5–8 years’ experience in backend or data engineering (Python) Exposure to AI/LLMs, RAG, or personal AI side projects Experience in startups or scale-ups where you’ve helped build or grow systems Solid More ❯

Backend Engineer , you’ll play a critical role in building and scaling the core platform. Working directly with the CTO and founding team, you’ll design backend architecture, build data pipelines, and integrate AI/LLM components into production systems. Role Breakdown: 50% Backend Engineering: FastAPI, Flask, Node.js, CI/CD 30% Data Engineering: ETL, DBT … Airflow 20% AI/LLM Integration: LangChain, RAG pipelines, orchestration Key Responsibilities: Design and build backend services to support AI agent deployment Develop scalable data pipelines and integration layers Implement AI/LLM-powered features with LangChain and related frameworks Collaborate with the CTO and adoption engineering team to deliver production systems Contribute to architecture decisions for scalability … Team: 10-person founding group including CTO, Head of Front-End, and adoption engineers Reporting Line: CTO Visa: Cannot sponsor Ideal Profile: 5–8 years’ experience in backend or data engineering (Python) Exposure to AI/LLMs, RAG, or personal AI side projects Experience in startups or scale-ups where you’ve helped build or grow systems Solid More ❯

A well-established business in Brentford is seeking an experienced BI Developer to join their BI & Data Team as they embark on a major transformation journey, moving from legacy systems towards a modern Microsoft ecosystem built on Azure and Fabric. The team operates mostly remotely, with office collaboration up to once per week alongside the wider BI & Data … architecture, and ensure the new set-up supports analytics, forecasting, and AI enablement. Key responsibilities will include: Designing and delivering scalable BI solutions using Microsoft Fabric Building and managing data pipelines with OneLake, Dataflows Gen2, and Data Factory Developing semantic models in Power BI and integrating with DirectLake or Warehouse datasets Optimising data models for performance and … reusability Supporting governance, security, and compliance best practices in a modern data platform Tooling for migration and reconciliation of data from legacy systems or acquisitions Providing technical support and hands-on data engineering across the full stack We are looking for: Strong experience as a BI Developer, Data Engineer, or similar Hands-on experience with More ❯

A well-established business in Brentford is seeking an experienced BI Developer to join their BI & Data Team as they embark on a major transformation journey, moving from legacy systems towards a modern Microsoft ecosystem built on Azure and Fabric. The team operates mostly remotely, with office collaboration up to once per week alongside the wider BI & Data … architecture, and ensure the new set-up supports analytics, forecasting, and AI enablement. Key responsibilities will include: Designing and delivering scalable BI solutions using Microsoft Fabric Building and managing data pipelines with OneLake, Dataflows Gen2, and Data Factory Developing semantic models in Power BI and integrating with DirectLake or Warehouse datasets Optimising data models for performance and … reusability Supporting governance, security, and compliance best practices in a modern data platform Tooling for migration and reconciliation of data from legacy systems or acquisitions Providing technical support and hands-on data engineering across the full stack We are looking for: Strong experience as a BI Developer, Data Engineer, or similar Hands-on experience with More ❯

Senior Data Engineer Contract Location: Glasgow (Hybrid 3 days per week on-site) Duration: 6 Months Day Rate: Competitive Sector: Financial Services Overview: Were looking for a highly skilled Senior Data Engineer to join a leading financial services organisation on a 6-month contract. Youll be working on a hybrid basis from their Glasgow office (3 days per … week on-site), contributing to key data initiatives that support risk and analytics functions across the business. Key Responsibilities: Design, build, and optimise scalable data pipelines and ETL solutions. Work with complex datasets to enable data-driven insights and reporting. Collaborate closely with data scientists, analysts, and business stakeholders to deliver robust data solutions. Support … the migration and modernisation of data infrastructure using cloud-based technologies. Skills & Experience: Strong proficiency in Python for data engineering and automation tasks. Hands-on experience with Databricks or Snowflake (experience in both is a plus). Proven track record in developing and maintaining high-quality data solutions within complex environments. Background in financial services and More ❯

+ bonus + benefits Company Overview Join a leading global trading firm that combines cutting-edge technology with a collaborative culture to achieve excellence. The Cloud Engineering team builds and maintains the core infrastructure supporting data, AI, and trading operations, providing the scalable, secure, and highly automated foundation that drives the firm’s success. You’ll work on … a sophisticated, modern GCP-based tech stack and contribute directly to platforms supporting Trading, Data Engineering, Back Office, and other core technology teams - in a high-impact, high-performance environment. What’s In It For You Global Trading Environment: Collaborate with world-class engineers and data specialists at the forefront of financial technology. Modern Tech Stack: Work … hands-on with GCP, Terraform, Kubernetes, GitLab, and BigQuery. Continuous Growth: Gain exposure to advanced automation, AI-assisted engineering, and scalable cloud architecture. Culture & Collaboration: Flat structure, open communication, and genuine engagement with senior leadership. Benefits Package: Includes private health and dental insurance, generous pension scheme, wellbeing support, and flexible leave. Hybrid Flexibility: Work in a collaborative London office More ❯

+ bonus + benefits Company Overview Join a leading global trading firm that combines cutting-edge technology with a collaborative culture to achieve excellence. The Cloud Engineering team builds and maintains the core infrastructure supporting data, AI, and trading operations, providing the scalable, secure, and highly automated foundation that drives the firm’s success. You’ll work on … a sophisticated, modern GCP-based tech stack and contribute directly to platforms supporting Trading, Data Engineering, Back Office, and other core technology teams - in a high-impact, high-performance environment. What’s In It For You Global Trading Environment: Collaborate with world-class engineers and data specialists at the forefront of financial technology. Modern Tech Stack: Work … hands-on with GCP, Terraform, Kubernetes, GitLab, and BigQuery. Continuous Growth: Gain exposure to advanced automation, AI-assisted engineering, and scalable cloud architecture. Culture & Collaboration: Flat structure, open communication, and genuine engagement with senior leadership. Benefits Package: Includes private health and dental insurance, generous pension scheme, wellbeing support, and flexible leave. Hybrid Flexibility: Work in a collaborative London office More ❯

models) for real-world enterprise use cases. Build and fine-tune LLM-based applications such as: - Chatbots - Document Q&A systems - Report generators - Code assistants - Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy and relevance. Integrate AI models with enterprise systems, APIs, and data stores using Python, Java, or … through model compression, quantization, and API optimization. Ensure compliance with AI ethics, security, and governance standards. Prepare and curate training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma) for semantic search and retrieval. Partner with business stakeholders to identify and shape impactful … Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML). Strong understanding of data engineering, data pipelines, and ETL workflows. Excellent problem-solving, communication, and stakeholder engagement skills. Bachelor's or Master's degree in Computer Science, AI/ML, Data More ❯

models) for real-world enterprise use cases. Build and fine-tune LLM-based applications such as: - Chatbots - Document Q&A systems - Report generators - Code assistants - Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy and relevance. Integrate AI models with enterprise systems, APIs, and data stores using Python, Java, or … through model compression, quantization, and API optimization. Ensure compliance with AI ethics, security, and governance standards. Prepare and curate training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma) for semantic search and retrieval. Partner with business stakeholders to identify and shape impactful … Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML). Strong understanding of data engineering, data pipelines, and ETL workflows. Excellent problem-solving, communication, and stakeholder engagement skills. Bachelor's or Master's degree in Computer Science, AI/ML, Data More ❯

models) for real-world enterprise use cases. Build and fine-tune LLM-based applications such as: - Chatbots - Document Q&A systems - Report generators - Code assistants - Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy and relevance. Integrate AI models with enterprise systems, APIs, and data stores using Python, Java, or … through model compression, quantization, and API optimization. Ensure compliance with AI ethics, security, and governance standards. Prepare and curate training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma) for semantic search and retrieval. Partner with business stakeholders to identify and shape impactful … Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML). Strong understanding of data engineering, data pipelines, and ETL workflows. Excellent problem-solving, communication, and stakeholder engagement skills. Bachelor's or Master's degree in Computer Science, AI/ML, Data More ❯

Senior Data Engineer – Contract Location: Glasgow (Hybrid – 3 days per week on-site) Duration: 6 Months Day Rate: Competitive Sector: Financial Services Overview: We’re looking for a highly skilled Senior Data Engineer to join a leading financial services organisation on a 6-month contract. You’ll be working on a hybrid basis from their Glasgow office … days per week on-site), contributing to key data initiatives that support risk and analytics functions across the business. Key Responsibilities: Design, build, and optimise scalable data pipelines and ETL solutions. Work with complex datasets to enable data-driven insights and reporting. Collaborate closely with data scientists, analysts, and business stakeholders to deliver robust data solutions. Support the migration and modernisation of data infrastructure using cloud-based technologies. Skills & Experience: Strong proficiency in Python for data engineering and automation tasks. Hands-on experience with Databricks or Snowflake (experience in both is a plus). Proven track record in developing and maintaining high-quality data solutions within complex environments. Background in More ❯