626 to 650 of 1,378 Data Engineering Jobs in the UK

new ideas to life, and push boundaries, then CAVU is the place for you. Together, we can reach new heights. Together, we are CAVU. What's the role: The Data Scientist role at CAVU is an exciting opportunity to be at the forefront of our data-driven transformation. Sitting within our centralised data team, you'll act … as an internal consultant across multiple business areas, developing models and data products that shape both operational and commercial decisions. As a key member of the Data Science function, you'll work closely with specialists in Data Engineering, BI, Analytics, and Data Governance to solve new andexciting problems - from customer personalisation models to forecasting and … NLP use cases. You'll help productionise scalable machine learning pipelines, support automation, and drive continuous improvements in our data science practices. This is a fantastic opportunity for a curious, solutions-focused data scientist to help build out our capability, working with cutting-edge tools like Databricks, AWS data services, PySpark, and CI/CD pipelines. What More ❯

management. We believe in traditional relationship and service-led banking powered by modern technology. Job Purpose The main objective is to ensure that, as a Bank, we become a data driven organisation. That we understand our data, where is it mastered, how it is used and that systems and data are working effectively to support and improve … internal processes and service to clients. The role will lead the data quality assurance programme, improve adoption of data collection, assess the impact of data changes, monitor data attributes such as data standards, audit tracking and field validation rules to ensure they are up-to-date and relevant. To place the interests of customers at … in a way that is consistent with achieving good outcomes for consumers and to comply with the FCA and PRA's Conduct Rules. Job Description Key Responsibilities: Ensure that data held within the Banks core systems is complete, valid and available for business and regulatory reporting, working with business areas to increase system usage and adoption. Manage a data More ❯

our global customers. We're on a truly exciting journey of growth and transformation - we're going places! This is where you come in. The opportunity As a Senior Data Quality Assurance Engineer, you'll play a vital role in ensuring the accuracy, integrity, and reliability of data within our organisation. You'll be responsible for developing and … implementing data quality standards, processes, and best practices to maintain high data quality throughout the data lifecycle. Your expertise in data validation, testing methodologies, and quality assurance techniques will contribute to the successful delivery of data-driven initiatives and enable us to make informed decisions across the organisation, as well as keeping us compliant with … regulatory requirements and industry standards. You'll collaborate closely with cross-functional teams, including data engineers, data scientists, and wider business stakeholders, to establish data quality criteria and provide guidance and training on data quality best practices, tools and technologies. This role is based out of our London office. We call our approach to hybrid working More ❯

About BMLL We are the leading independent provider of harmonised Level 3 historical data and analytics to the world's most sophisticated capital market participants. BMLL offers banks, brokers, asset managers, hedge funds and global exchange groups immediate and flexible access to the most granular Level 3, T+1 order book data and advanced analytics, enabling them to accelerate … website, or visit our or About the Role BMLL Vantage is the market leading product for visualisation of financial time-series data. Every day we consume 250GB of new data across 750,000 securities to deliver into our platform, our data services and our visual products. In Vantage users can perform in-browser visualisations of more than 1TB … of trading analytics. We are seeking a skilled Software Engineer to enhance and expand the product. This role involves building pixel-perfect, interactive, rich-feature, high-performance data visualization dashboards using React, TypeScript, and cutting-edge visualization libraries such as D3.js and Highcharts. You'll collaborate closely with the backend team, data engineers, data analysts, and product More ❯

a digital insurance provider with ambitious plans to become The Best and Biggest in the UK market. Over the past few years, we've made significant investments in our data and tech capabilities, particularly within our CIO function. Our CIO team is at the forefront of driving innovation and ensuring our technology infrastructure supports our ambitious goals. We've … and contribute to our success. We're looking for an inquisitive and technically strong Senior Business Analyst to join our Business Analysis community, with a particular focus on Guidewire data integration and delivery. This role is ideal for someone who thrives understanding how things work under the hood and then explaining it in a way that others get. You … will champion a data driven culture by asking the right questions and challenging assumptions, becoming the go-to expert on the Guidewire data model for the data engineering teams. What you'll be doing: - Completing the end-to-end analysis and documentation of business requirements, with a strong emphasis on Guidewire data structures and integration More ❯

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

Head of Analytics and Data Science Department: Data & Analytics Employment Type: Full Time Location: Cardiff Description Hybrid: 2 days per week in-office In 2002, we became the first insurance comparison site. Our purpose? To make the process of sorting your insurance, utilities or personal finances as easy as possible. We're part of RVU. A group of … FinTech industry, so we're always looking for extraordinary talent. If you love what you do, get in touch today! About the role We believe in the power of data to drive smarter decisions, better products, and meaningful customer experiences, and are on the lookout for a strategic, visionary Head of Analytics to take our analytics capabilities to the … business, as we build scalable, insight-driven practices that reach millions of UK customers. You'll also play a key role in strengthening our partnerships with major insurers, providing data-driven guidance at the most senior levels. You'll lead a talented team of just over 20 analysts, data scientists, and managers, driving advanced analytics, AI/ML More ❯

SQL, Python, and ETL tools (Streamsets, DBT), RDBMS A Snowflake Architect is required for a long-term project with a fast-growing company. Responsibilities: -Design, develop, and maintain robust data pipelines and ETL processes using Snowflake on AWS. -Implement data warehousing solutions, ensuring efficient storage, retrieval, and transformation of large datasets. -Collaborate with data analysts, scientists, and … other stakeholders to define and fulfill data requirements. -Optimize performance and scalability of Snowflake data warehouse, ensuring high availability and reliability. -Develop and maintain data integration solutions, ensuring seamless data flow between various sources and Snowflake. -Monitor, troubleshoot, and resolve data pipeline issues, ensuring data quality and integrity. -Stay up-to-date with the … latest trends and best practices in data engineering and cloud technologies. Cloud Services such as AWS Qualifications: >Bachelor’s degree in computer science, Engineering, or a related field. >5+ years of experience in data engineering, with a strong focus on Snowflake and AWS. >Proficiency in SQL, Python, and ETL tools ( Streamsets, DBT etc.) >Hands on More ❯

a large migration. Senior BI Developer - What will you be doing? * Supporting the BI services, including incident resolutions. * Working with internal customers, performing business analysis to discover requirements. * Bringing data together with engineering and modelling techniques from multiple sources. * Developing and testing the SQL based Data Warehouse. * Support business users with self-service apps. * Analysing and inspecting … incoming data to ensure efficient data quality. Senior BI Developer - What will you need? * Solid BI background * Power BI, Azure, SQL and Excel. * Understanding or experience within Qlik. * Experience of analysing and diagnosing complex data issues. * Experience of ETL development. * Data engineering and data modelling experience. Robert Walters are proud to specialise in BI … Data recruitment across the UK, offering amazing opportunities on a permanent and interim basis. We are also proud to be heading up the PBI BRUM meetup group, bringing new and exciting networking opportunities to candidates and clients in the Midlands. If you would be interested in speaking about the role or having a general chat about your job search More ❯

and optimising existing ML model deployments to ensure reliability and efficiency. Continuously improving the architecture, processes, and tools used for model deployment, monitoring, and lifecycle management. Collaborating closely with data scientists to understand and implement model requirements. Partnering with R&D teams to align technical strategies and integrate ML solutions into broader systems. Implementing robust CI/CD pipelines … systems, and infrastructure automation. Upholding best practices in security, cost management, and infrastructure design for cloud environments. The Ideal Candidate: 4+ years of experience in MLOps, DevOps, or software engineering roles. Strong programming skills in Python and familiarity with ML frameworks. Extensive experience with AWS services (e.g., SageMaker, ECS, Lambda) and cloud environments. Proficiency with containerization and orchestration tools … Docker, Kubernetes). Knowledge of data engineering concepts (e.g., ETL, data pipelines). Please note we can only consider candidates who can commit to at least one day per week in Dundee. Bright Purple is an equal opportunities employer: we are proud to work with clients who share our values of diversity and inclusion in our industry. More ❯

performance for speed, quality, and ensuring scalability in a cloud-based environment. Creating and maintaining pipelines for automated model training and deployment. Assisting backend developers to build and maintain data engineering pipelines for downstream data analysis and training tasks against a data warehouse. Collaborating closely with the CTO, product designers, and engineering team to integrate … research and staying up-to-date with the latest advancements in machine learning and computer vision relevant to our future roadmap and feature ideas. Mentoring junior ML engineers and data scientists, fostering a collaborative and innovative team culture. Working with the product team to understand user needs, testing and iterating on features to improve the user experience. Requirements: 5+ … GenAI, or a related field. (Extra bonus!) Experience or familiarity with CAD or 3D modelling software (e.g., Blender, 3DS Max). Core Skills: Machine Learning, Deep Learning, Python, Docker, Data Warehousing Other Skills: Tensorflow, PyTorch, AWS Seniority: Senior, Lead More ❯

and optimising existing ML model deployments to ensure reliability and efficiency. Continuously improving the architecture, processes, and tools used for model deployment, monitoring, and lifecycle management. Collaborating closely with data scientists to understand and implement model requirements. Partnering with R&D teams to align technical strategies and integrate ML solutions into broader systems. Implementing robust CI/CD pipelines … systems, and infrastructure automation. Upholding best practices in security, cost management, and infrastructure design for cloud environments. What we are looking for: 4+ years of experience in MLOpsor Software Engineering roles. Strong programming skills in Python and familiarity with ML frameworks. Extensive experience with AWS services (e.g., SageMaker, ECS, Lambda) and cloud environments. Proficiency with containerisation and orchestration tools … Docker, Kubernetes). Knowledge of data engineering concepts (e.g., ETL, data pipelines). Please note that this role is hybrid, based out of Dundee, Scotland. Flexible arrangements are on offer, but we can only consider candidates able to commit to at least one office day per week. Apply now for immediate consideration. Bright Purple is an equal More ❯

Research Scientist at Odin Vision, you will implement and maintain state-of-the-art industry practices for efficient and reproducible machine learning processes. You will work alongside researchers and engineering teams to ensure that the processes are practicable and integrate well into existing structures. You must be able to work well in a multi-disciplinary team and have strong … is offered on a permanentbasis. What you'll do: Research and develop new AI technologies capable of positively impacting performance and efficiency Improving ML processes, such as experiment tracking, data versioning, model versioning Analytical techniques for extracting insight from a variety of data sources Training infrastructure planning and maintenance Monitoring of models in production Building, maintaining, and monitoring … data pipelines Supporting evaluation/comparison of ML models requirement Qualification: Graduated from a computer science, software engineering, or related degree program Experience: 5+ years experience working in the industry or a PhD in a relevant field Technical leadership with a range of technical abilities e.g. Data Engineering, Machine Learning, Cloud, DevOps & Software Good theoretical understanding More ❯

The Onyx Research Data Tech organization is GSK's Research data ecosystem which has the capability to bring together, analyze, and power the exploration of data at scale. We partner with scientists across GSK to define and understand their challenges and develop tailored solutions that meet their needs. The goal is to ensure scientists have the right … data and insights when they need it to give them a better starting point for and accelerate medical discovery. Ultimately, this helps us get ahead of disease in more predictive and powerful ways. Onyx is a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data/metadata/knowledge platforms … and AI/ML and analysis platforms, all geared toward: Building a next-generation, metadata- and automation-driven data experience for GSK's scientists, engineers, and decision-makers, increasing productivity and reducing time spent on "data mechanics". Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top More ❯

Innovation Hub 📍 Location: Oxford, UK (Hybrid) 🕒 Full-Time | Permanent 💼 Salary: £90,000 – £120,000 + Equity + Benefits I am for a Lead Python Developer to join our growing engineering team and play a pivotal role in architecting and scaling our AI infrastructure. What You’ll Do Lead the design, development, and deployment of scalable Python-based systems for … AI applications. Collaborate with data scientists, ML engineers, and product teams to bring AI models into production. Mentor and guide a team of Python developers, fostering a culture of clean code, testing, and continuous improvement. Own the architecture of backend services, APIs, and data pipelines. Evaluate and integrate new technologies to keep our stack modern and efficient. What … FastAPI, asyncio). Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines. Excellent communication skills and a passion for mentoring and team leadership. Nice to Have Experience with data engineering tools (Airflow, Kafka, Spark). Knowledge of MLOps practices and tools (MLflow, Kubeflow). Contributions to open-source projects or AI research. Why Join? Work on impactful More ❯

Business Intelligence Engineer , Amazon Last Mile Come help Amazon create cutting-edge data and science-driven technologies for delivering packages to the doorstep of our customers! The Last Mile Routing & Planning organization builds the software, algorithms and tools that make the "magic" of home delivery happen: our flow, sort, dispatch and routing intelligence systems are responsible for the billions … Amazon Logistics, Prime Now, Amazon Flex, Amazon Fresh, Lockers, and other new initiatives. As part of the Last Mile Science & Technology organization, you'll partner closely with Product Managers, Data Scientists, and Software Engineers to drive improvements in Amazon's Last Mile delivery network. You will leverage data and analytics to generate insights that accelerate the scale, efficiency … role. Responsibilities: Create actionable business insights through analytical and statistical rigor to answer business questions, drive business decisions, and develop recommendations to improve operations Collaborate with Product Managers, software engineering, data science, and data engineering partners to design and develop analytic capabilities Define and govern key business metrics, build automated dashboards and analytic self-service capabilities More ❯

Senior Analytics Engineer We are looking for a Senior Analytics Engineer to join our Data Engineering team which sits under Tech and Data. We're looking for a Senior Analytics Engineer to join our team and help shape the data foundations for high growth areas of Funding Circle. We have opportunities across multiple teams, each tackling unique … challenges and building high impact data models to power critical reporting and self-serve analytics. This is a unique opportunity to help build a top tier Analytics Engineering function, with the full backing of the business. We're investing heavily in the people, tools, and technology needed to make it happen - and giving you the chance to play … get the finance they need to grow. With more than a decade of expertise under our belt, we've built a game-changer of a platform with cutting-edge data and technology that's reshaping the landscape of SME lending. Say goodbye to lengthy applications and hello to lightning-fast decisions! In just minutes, SMEs across the UK can More ❯

careers through pioneering, experiential education in today's most in-demand skills. As featured in The Economist, Wired, and The New York Times, GA offers training in web development, data, design, business, and more, both online and at campuses around the world. Our global professional community boasts 60,000 full- and part-time alumni - and counting. In addition to … or more of these skills then we would love to work with you! AI/ML Solution Architecture: Designing and deploying machine learning models and AI solutions tailored to engineering and data team workflows. Agentic AI Design: Expertise in building autonomous AI agents capable of decision-making, using frameworks like LangChain. LLM Integration & Customization: Proficiency in integrating large … language models (LLMs) into applications, including fine-tuning and prompt engineering for business-specific use cases. AI for Data Engineering: Implementing AI-powered data pipelines, ETL automation, and leveraging AI for data quality and governance. AI Infrastructure & MLOps: Experience with cloud AI services, model deployment, monitoring, and CI/CD pipelines for ML models (MLOps More ❯

What is Sylvera anyway? Sylvera provides trusted ratings, tools and data for carbon credits and CDR. Our mission is to incentivize investment in real climate action. Purchasing carbon credits and CDR through the carbon markets is one of the most established and scalable ways to channel finance to effective climate solutions and work toward societal net zero. Unfortunately, the … with mistrust and a lack of effectiveness since they've emerged - until Sylvera. To help organizations ensure they're making the most effective investments, Sylvera Trusted ratings, tools and data for carbon credits and CDR. Our data and software independently and accurately validates the impact of carbon projects that capture, remove, or avoid emission whether they are up … and running, or in development. Our data and tools allow users to optimise both the climate and economic performance of projects as well as understand the past and future of the market. With Sylvera businesses, governments and developers can confidently invest in, benchmark, deliver, and report real climate impact. Our team is made up of leading minds in climate More ❯

At ioMosaic, we are seeking an experienced AI Engineer to work on developing and deploying advanced AI models, machine learning algorithms, and data-driven solutions. The ideal candidate will have hands-on experience with AI frameworks and be able to contribute to the end-to-end AI development lifecycle, from data preprocessing to model deployment. Duties and Responsibilities … Develop AI Models: Design, train, and optimize machine learning and deep learning models using state-of-the-art techniques. Data Engineering: Collaborate with data teams to collect, clean, and prepare large datasets for model training and evaluation. Algorithm Optimization: Focus on improving model performance and accuracy through algorithm optimization, hyperparameter tuning, and testing. Deployment & Maintenance: Work on … deploying AI models to production environments, ensuring scalability, reliability, and robustness. Collaboration: Collaborate with cross-functional teams including software engineers, data scientists, and product managers to integrate AI-driven features into products. Research: Stay up-to-date with the latest AI research and industry trends and apply innovative solutions to current problems. Documentation: Maintain clear and concise documentation for More ❯

Location Solutions Consultant - Market Planning Group 27 February 2024 CACI's Location Intelligence Group provides data, software, and consulting services to help our clients make better location-based decisions. We help clients make profitable decisions through our understanding of people and place, spatial characteristics, and consumer behaviour. Our clients include retailers, restaurant chains, leisure operators, care homes, charities, automotive … s leading Location Intelligence team, we deliver advanced spatial analysis and insights to major organisations across various sectors and countries. We provide consultancy, cutting-edge software, and the latest data to optimise location strategies across physical and digital landscapes. Projects typically last from a week to six months, covering performance analysis, customer insights, network strategies, BI & visualization, and advanced … be doing Joining the Solution Consulting team, you will be part of a dynamic and innovative group designing solutions to address strategic questions. You will scope the right analysis, data, and software based on client needs, working across various sectors and markets, both UK and international, always focusing on people and place. Our commercial team identifies opportunities and collaborates More ❯

the Fenergo platform across the organization. Primary Responsibilities: Manage and support the Fenergo application, ensuring it meets business requirements and operates efficiently. Support the design, development, and implementation of Data Management strategies for Fenergo. Provide ongoing system administration, troubleshooting, and issue resolution. Conduct regular system maintenance, including updates, patches, and system health checks. Develop and maintain documentation related to … system configurations, user guides, and troubleshooting procedures. Support integration efforts between Fenergo and other enterprise applications, ensuring data accuracy and consistency across systems. Support testing of new features and enhancements, ensuring minimal disruption to daily operations. Identify opportunities for process improvements and automation within the Fenergo platform and collaborate with stakeholders to implement solutions. Assist in preparing reports and … data extraction from Fenergo for analysis, audits, and decision-making. The ideal background for this role: Bachelor's or Master's degree (or equivalent higher education) in Information Technology, Data Engineering, or a related field. Proven experience working with Fenergo or similar AML/KYC management software (minimum of 3 years). Experience in system configuration, customization More ❯

focused digital transformation consultancy. We blend the agility of a local business with the resources of a global enterprise, specialising in Azure to simplify how businesses modernise their IT, data, and analytics. Our strapline "modernisation, simplified " highlights our mission to make cloud journeys straightforward and effective. Role Overview: As a Graduate Azure Integration & Data Cloud Consultant, you will … specialise in Azure Integration Services, Data Engineering in Fabric, and DevOps. You will work directly with leading Azure tools including Azure Data Factory, Logic Apps, Fabric, Power BI, Databricks, Azure DevOps, OpenAI, and more. Your role will involve creating robust, scalable cloud-native solutions, automating deployments, and ensuring seamless integrations. Our culture is collaborative, fast-paced, and … using Azure Logic Apps, Service Bus, and related tools - connecting systems, connecting people. Automate cloud infrastructure using ARM/Bicep or Terraform with Azure DevOps. Design and develop Azure Data Factory pipelines. Participate in stand-ups, sprint planning, and retrospectives. Document solutions clearly for internal and client use. Engage closely with colleagues and clients, participating in pair programming, requirements More ❯

of geographically diversified software engineers responsible to develop scalable solutions by working directly with product development team. Our team culture is oriented towards equality in the realm of software engineering irrespective of hierarchy promoting innovation. One should feel empowered to iterate over ideas and experimentation without being afraid of failure. Responsibilities and Impact: You will enable S&P ratings … business to provide best in class end-to-end analytical, commercial and customer experience by building feature rich solutions including big data engineering, analytics, business intelligence and workflow capabilities. The ideal candidate thrives in a highly technical role and will design and develop software using cutting edge technologies consisting of web applications, data pipelines, big data … in DevOps development and deployment using docker and containers. Domain knowledge in Financial Industry and Capital Markets is a plus. Bachelor's degree in computer science, Information Systems or Engineering is required, or in lieu, a demonstrated equivalence in work experience. About S&P Global Ratings At S&P Global Ratings, our analyst-driven credit ratings, research, and sustainable More ❯

Europe, now is the perfect time to join us on this high-speed journey. As an Insights Analyst in the Corporate Affairs team you will be involved in driving data led storytelling that supports our Communications, Industry Relations and Government Relations teams, across multiple geographies including the UK, France, Spain, Italy and the US. You will have a creative … mindset, deep diving into our extensive pool of data to find the right data points that tell the right stories, working with the wider team to drive our market prominence, business narrative and reputation within the rail industry and government. You will be part of the Corporate Affairs team, with a dotted line into the Trainline data organisation which consists of Data Science, Machine Learning, Data Engineering, Business Intelligence and Data Product Management. Both the Corporate Affairs and data team sit at the forefront of Trainline's growth and market position as we work towards our goal of empowering greener travel choices. The role will initially be a 3 month fixed More ❯