701 to 725 of 868 Data Engineering Jobs in England

The Opportunity Reporting to the Associate Director of Data & Systems Engineering, this senior role sits at the heart of a multi-year digital transformation programme. You'll take the lead in managing, modernising, and integrating our core finance and HR systems, working closely with our in-house Development and Data teams, alongside key stakeholders, and third-party … vendors across our international operations. Key Responsibilities Own the technical operation and performance of key Finance and HR applications. Design and implement solutions, integrations, and data pipelines using the Microsoft stack. Collaborate with global stakeholders and internal teams to define requirements, drive transformation, and ensure system integrity. Provide technical leadership in systems architecture, integration, and future-state strategy. Troubleshoot … optimise, and maintain legacy systems while managing technical debt. Work with infrastructure and data engineering teams to support associated databases and servers. Your Background We're looking for a strong technical leader with: Proven experience working with finance systems and stakeholders in large international organisations. Deep expertise in Microsoft technologies and system integrations. A hands-on approach to More ❯

The Opportunity Reporting to the Associate Director of Data & Systems Engineering, this senior role sits at the heart of a multi-year digital transformation programme. You'll take the lead in managing, modernising, and integrating our core finance and HR systems, working closely with our in-house Development and Data teams, alongside key stakeholders, and third-party … vendors across our international operations. Key Responsibilities Own the technical operation and performance of key Finance and HR applications. Design and implement solutions, integrations, and data pipelines using the Microsoft stack. Collaborate with global stakeholders and internal teams to define requirements, drive transformation, and ensure system integrity. Provide technical leadership in systems architecture, integration, and future-state strategy. Troubleshoot … optimise, and maintain legacy systems while managing technical debt. Work with infrastructure and data engineering teams to support associated databases and servers. Your Background We're looking for a strong technical leader with: Proven experience working with finance systems and stakeholders in large international organisations. Deep expertise in Microsoft technologies and system integrations. A hands-on approach to More ❯

Equities Quant Platform Engineering Lead - Python (Technology) - VP Overview Citi is a world-leading global bank. We have approximately 200 million customer accounts and a presence in more than 160 countries and jurisdictions worldwide. We provide consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking … with cutting-edge ideas, best-in-class products and solutions, and unparalleled access to capital and liquidity. What We do/The Team Are you a passionate and experienced engineering leader eager to build high-impact front office quant tools? Citi's Equities Technology team is undergoing significant growth and investment, specifically within our high-priority systematic trading and … analytics systems. We are seeking a hands-on Engineering Lead to drive the development of our next-generation quantitative development platform serving the Equities Cash, Derivatives, and Prime businesses. This is a unique opportunity to make a significant impact as the platform enters its key growth phase. You will be instrumental in shaping critical capabilities including building an event More ❯

Hybrid position with on-calls We are seeking a highly motivated and skilled Site Reliability Engineer (SRE) to ensure the reliability, performance, and scalability of the client's critical Data Platform solutions. In this role, you will provide dedicated support and maintain the health of the data infrastructure. This position involves on-call responsibilities to address critical incidents … and maintain system availability. Essential functions Provide support and ensure the stability of Data Platform solutions. Participate in an on-call rotation for incident response. Manage cloud resources using IaC tools like CloudFormation and Terraform on AWS and GCP. Implement data security best practices in cloud applications. Apply cloud networking knowledge (VPCs, Route 53, Security Groups, NLB/… ALB) for secure data flow. Design and maintain CI/CD pipelines on AWS. Support applications on Kubernetes, ensuring scalability and resilience. Use Go and/or Python for automation tasks. Troubleshoot complex issues with analytical skills. Qualifications Experience with applications, data engineering, or machine learning workloads on AWS or GCP. Hands-on with CloudFormation and Terraform. More ❯

ready to lead the technical vision of a product that's transforming care? We're looking for an experienced Tech Lead to take ownership of CarePilot IQ-our innovative, data-driven platform that empowers care providers to deliver better outcomes. This is a hands-on leadership role where you'll guide a talented cross-functional team, define the technical … security. Work closely with the Product Director to shape the roadmap, balancing technical excellence with commercial impact. Lead, mentor, and inspire a multi-disciplinary development team (developers, QAs, design, data engineering, and data science). Champion clean code, scalable design patterns, and best practices across the full SDLC. Write and review high-quality, testable C# .NET code … designs. Frontend and backend development experience, with exposure to Blazor, React, or similar frameworks a plus. Hands-on experience with Azure services (Kubernetes, Event Grid, Service Bus, Functions, SQL, Data Factory, Databricks, AML). Experience building high-throughput, high-availability, multi-tenant solutions. Excellent communication and collaboration skills, with the ability to inspire and mentor a hybrid development team. More ❯

do their best work. Whether you're building on our platform, supporting our customers, or shaping our story: You can just ship things. About the Role: As a Finance Data Analyst, you will be the technical anchor between Finance and Data. You'll own the financial analytics stack-delivering trusted models, dashboards, and simulations that help leadership understand how … usage based revenue flows through the business, where margin opportunities exist, and how we forecast growth. You'll partner daily with FP&A, Product Monetization, Data Engineering, and Executive Leadership to turn complex usage signals into actionable financial insight. If you're based within a pre-determined commuting distance of one of our offices (SF, NY, London, or … tiers, overage bands, and feature gates. Automate financial reporting - Deliver self serve dashboards (e.g., Hex, Mode, Looker) that Finance, ELT, and Board stakeholders trust every month end close. Elevate data quality - Define testing, reconciliation, and data quality SLAs so Finance can audit every revenue and cost metric back to source. Mentor analysts & engineers - Provide best practice guidance on More ❯

Roc Search have partnered with a trading firm with over a wealth of experience bringing sophisticated technology and people together to operate in markets around the world. The Tools Engineering team intimately collaborates with traders to turn alpha signals, risk management, market visualisations and other trading-critical tools into scalable production systems. They work closely with Data Engineering, Research Engineering, and Execution Engineering. About the Role: Software Engineers within this team operate in two very distinct but organically interconnected modes. During a Forward Deployment, you will be directly embedded onto a trading desk, where you will be tasked to navigate business context, ambiguity in requirements, trade-offs, and urgency to deliver. You will promote a mutually … ownership of the products you create, from prototype to stable production Embed with trading desks, learn about their problem spaces, extract domain models, and build ergonomic, performant and extendable engineering solutions Build, maintain and extend the central trading platform Work with both greenfield and legacy systems across multiple languages (Python, Java, C++, Typescript) Provide on-call support as needed More ❯

THE ROLE As a foundational member of our engineering team, you'll do all backend work to help ship new features for our web app. We have a frequent cadence of shipping new features and a close connection to our market. With 650k monthly active users spending hundreds of thousands of hours on the platform, each contribution and feature … users. Since we're a startup, you'll have to be willing to get your hands dirty with (and learn) lots of technologies across the backend stack: API design, data engineering, algorithms, startup engineering, analytics, monitoring, web crawling, etc. as well as the frontend stack (it's fine to not have any frontend experience starting out). … THE IDEAL CANDIDATE 3+ years of experience with backend engineering Clean simple code, even when solving complex problems Good systems design Ability to learn new tech quickly Enjoyable to work with TECHNOLOGY STACK Python, PostgreSQL, FastAPI, Redis, TypeScript, React, Next.js, Tailwind, AWS, Kubernetes, Prometheus, Pinecone, GPT-4 EXAMPLE PROJECTS Use an LLM to identify references to other sections in More ❯

Lead Data Engineer £75,000-£85,000 ️ AWS, Python, SQL, Airflow Brighton, hybrid working Analyse customer behaviour using AI & ML We are partnered with a private equity backed company who provide an AI-powered, guided selling platform that helps businesses improve online sales and customer experience. They are looking for a Lead Data Engineer to lead a small … team in building a key part of their data infrastructure. The role This role blends people management, individual contribution, and technology leadership. What you'll be doing Individual Contribution: You will take ownership of project briefs and design robust architectural plans. You will also champion the importance of thorough testing and ensure alignment with stakeholder expectations throughout the development … process. People Management: You will lead and mentor a small team of Data Engineers, fostering a high-performance culture by guiding their professional growth and ensuring effective communication within the team and with stakeholders. Technology Leadership: You will guide strategic decision-making regarding technology and architecture, ensuring solutions are scalable, cost-effective, and flexible enough to meet diverse customer More ❯

management Skills and Experience AI/ML Expertise: Strong understanding of LLMs, NLP, and AI-driven recommendations. Technical Leadership: Experience in AI product scalability, DevOps, and cloud architecture. Backend & Data Skills: Proficiency in Python, Node.js, PostgreSQL, MongoDB, API security. AI Model Deployment: MLOps, scaling, data engineering, and AI ethics awareness. Strategic Mindset: Ability to align technology with … business objectives and cost efficiency. Security & Compliance Knowledge: GDPR, API authentication, and observability best practices. Big data processing: Understanding data lakes, warehouses, and tools like Spark, Kafka, and Airflow. ETL Pipelines: Ability to evaluate data ingestion, transformation, and cleaning processes. DevOps & CI/CD: Hands-on knowledge of Jenkins, GitHub Actions, Terraform, and CloudFormation. What's in More ❯

months experience with a similar role with good knowledge of Cognos (or similar) and Microsoft Excel. Duties Include: Production of business and customer analytics including reports and dashboards Wrangling data using our data science software to build informative data sets Working with different functions to develop KPI's and integrate them into our workstreams Support the production … are essential for our executives in executing critical business decisions General System administration Any other ad-hoc duties Person Specification: A minimum of 12 months experience in BI/Data reporting role Experienced in using Cognos (desirable yet not essential) or similar BI tool Highly proficient in Microsoft Excel Degree in Mathematics/Statistics/Data engineering More ❯

What You'll Bring AI/ML Expertise : Deep knowledge of LLMs, NLP, and recommendation systems. Technical Leadership : Proven experience in scaling AI products, DevOps, and cloud architecture. Backend & Data Proficiency : Skilled in Python, Node.js, PostgreSQL, MongoDB, and API security. AI Deployment : Familiarity with MLOps, data engineering, and ethical AI practices. Strategic Thinking : Ability to align tech … strategy with business objectives and cost efficiency. Security & Compliance : Strong understanding of GDPR, API authentication, and observability. Big Data : Experience with data lakes, warehouses, and tools like Spark, Kafka, and Airflow. ETL Expertise : Ability to evaluate and optimize data ingestion and transformation pipelines. DevOps & CI/CD : Hands-on experience with Jenkins, GitHub Actions, Terraform, and CloudFormation. More ❯

What You'll Bring AI/ML Expertise : Deep knowledge of LLMs, NLP, and recommendation systems. Technical Leadership : Proven experience in scaling AI products, DevOps, and cloud architecture. Backend & Data Proficiency : Skilled in Python, Node.js, PostgreSQL, MongoDB, and API security. AI Deployment : Familiarity with MLOps, data engineering, and ethical AI practices. Strategic Thinking : Ability to align tech … strategy with business objectives and cost efficiency. Security & Compliance : Strong understanding of GDPR, API authentication, and observability. Big Data : Experience with data lakes, warehouses, and tools like Spark, Kafka, and Airflow. ETL Expertise : Ability to evaluate and optimize data ingestion and transformation pipelines. DevOps & CI/CD : Hands-on experience with Jenkins, GitHub Actions, Terraform, and CloudFormation. More ❯

site in London 💰 Up to £80,000 per annum 🔍 The Role As an Analytics Engineer , you’ll work across a range of exciting client projects, designing and building scalable data pipelines to support analytics on large, complex datasets. This is a client-facing role, ideal for someone who thrives in a fast-paced consultancy environment and enjoys working closely … with stakeholders. You’ll also play a key role in mentoring junior team members and contributing to the wider data engineering strategy. 💼 What You’ll Be Doing Building robust, scalable data pipelines across multiple client projects Presenting insights and technical solutions directly to clients Supporting and mentoring junior engineers within the team Collaborating with cross-functional teams … client value 🛠️ Tech & Experience We’re Looking For Strong SQL and Python skills Experience with cloud platforms such as GCP or Azure Hands-on with BigQuery , Synapse , or similar data warehouses Familiarity with data visualisation tools — D3.js or similar Proven client-facing experience Previous consultancy experience is highly desirable This is a fantastic opportunity to join a consultancy More ❯

site in London 💰 Up to £80,000 per annum 🔍 The Role As an Analytics Engineer , you’ll work across a range of exciting client projects, designing and building scalable data pipelines to support analytics on large, complex datasets. This is a client-facing role, ideal for someone who thrives in a fast-paced consultancy environment and enjoys working closely … with stakeholders. You’ll also play a key role in mentoring junior team members and contributing to the wider data engineering strategy. 💼 What You’ll Be Doing Building robust, scalable data pipelines across multiple client projects Presenting insights and technical solutions directly to clients Supporting and mentoring junior engineers within the team Collaborating with cross-functional teams … client value 🛠️ Tech & Experience We’re Looking For Strong SQL and Python skills Experience with cloud platforms such as GCP or Azure Hands-on with BigQuery , Synapse , or similar data warehouses Familiarity with data visualisation tools — D3.js or similar Proven client-facing experience Previous consultancy experience is highly desirable This is a fantastic opportunity to join a consultancy More ❯

Job Description At Chase UK, we're redefining digital banking by harnessing cutting-edge technology to deliver seamless, intuitive experiences for our customers. Our engineering team operates with a start-up mindset, empowered to shape the future of banking through scalable, reliable, and innovative solutions. If you're passionate about operationalizing advanced machine learningincluding large language models (LLMs) and … generative AIthis is the place for you. As a Mid-Level ML Engineer within the International Consumer Bank at JPMorgan Chase, you'll work alongside ML scientists, Data Engineers and software engineers to build, deploy, and maintain sophisticated machine learning solutions in production. You'll play a hands-on role in implementing ML pipelines, deploying models (including LLMs), and … keeps our AI-driven products robust and scalable. Job Responsibilities: Build, automate, and maintain ML pipelines for deploying advanced models, including large language models (LLMs), at scale. Collaborate with data engineers, scientists and product owners to operationalize workflows for reliable, seamless model deployment and monitoring. Implement monitoring, logging, and alerting for AI services, ensuring performance, security, and compliance in More ❯

Marketing Data Engineer/Analyst Annual Salary up to £84,000 doe 6 Months contract - inside IR35 - PAYE + strong possibility of extension Location: Central London - 2 days onsite - hybrid working model We've got a marketing analytics team sitting on valuable data - and right now, they need someone to rebuild their reporting stack from the ground up. … re mid-project, moving from legacy systems into Snowflake . SIGMA is being rolled out as the new reporting tool. What they need is someone who can translate messy data into clean, usable insights - and build out the pipelines to get there. You'll be: Writing and optimising SQL queries Transforming raw data into structured, scalable models Designing … dashboards in SIGMA (or Tableau if needed) Working directly with marketers who want the data, not just reports Owning the data journey from source to insight Must Have Skills: 5+ years of Data Engineering/Insights Analytics within a Marketing background Solid experience with Snowflake Experience in Sigma Computing or Tableau CRM - Salesforce If you've More ❯

the wider audience. This fullstack role has a strong backend emphasis, requiring deep experience in server-side architecture, API design, distributed systems, and frontend frameworks, along with a solid engineering mindset and the ability to work cross-functionally with ML engineers, product, research, and creative teams. As a member of our fullstack engineering team, you'll shape core … microservices that handle generative AI inference/training and video/audio processing. Design and implement user interfaces that make complex generative AI capabilities intuitive and accessible. Develop robust data pipelines for ingesting, processing, and storing large-scale media content. Design and maintain database schemas, caching layers, and data storage solutions for multimedia content. Build authentication, authorisation, and … like PyTorch, Numpy or OpenCV. Knowledge of ML model serving infrastructure (TensorFlow Serving, TorchServe, MLflow). Knowledge of WebGL, Canvas API, or other graphics programming technologies. Familiarity with big data technologies (Kafka, Spark, Hadoop) and data engineering practices. Background in computer graphics, media processing, or VFX pipeline development. Experience with performance profiling, system monitoring, and observability tools. More ❯

will be part of a collaborative, high-performing team that values technical excellence, an ownership mindset, and humility. The ideal candidate is an experienced engineer with strong Python skills, data engineering expertise, and comfort working in fast-paced trading environments. Key Responsibilities Building and maintaining resilient treasury systems for trading, liquidity management, and funding operations using Python as … the core language Engaging directly with traders and treasury stakeholders during live market situations, rapidly understanding requirements and delivering solutions on the fly Designing, managing, and optimizing data pipelines for real-time and historical treasury data with focus on accuracy, reliability, and performance Contributing to deployment, monitoring, and scaling of systems while working with operations teams to ensure … uptime and quick incident response Key Requirements 5-15 years of professional experience in software engineering, ideally in front office finance , fintech , high-frequency trading , or technology-driven startups Expert-level Python skills - designing, debugging, and optimizing complex applications Very strong data capabilities with Pandas , NumPy , SQL , real-time data processing, and ETL Familiarity with DevOps practices More ❯

your opportunity to have a big impact on some of the most exciting new ideas that are shaping the future of Amazon. Key job responsibilities • Create innovative solutions using data and research to address wider challenges in your organization • Take a big-picture approach in your analysis of business operations, driving improvements across a range of teams and organizations … operational performance on every program in partnership with your stakeholders A day in the life As a Senior Program Manager, you'll drive and manage the implementation of creative, data-driven change in Amazon, leading improvement projects and program. You'll use strategic thinking to define and implement an efficient project plan. Some managers are based on-site while … improvements, you could also contribute to improving other areas of the business, like diversity, equity, and inclusion. About the team The Team's vision is a perfect fit across Data Science, Data Engineering and Business Acumen. We build strong technical solutions and don't build "what we are asked to" but what we believe will bring value. More ❯

your opportunity to have a big impact on some of the most exciting new ideas that are shaping the future of Amazon. Key job responsibilities • Create innovative solutions using data and research to address wider challenges in your organization • Take a big-picture approach in your analysis of business operations, driving improvements across a range of teams and organizations … operational performance on every program in partnership with your stakeholders A day in the life As a Senior Program Manager, you'll drive and manage the implementation of creative, data-driven change in Amazon, leading improvement projects and program. You'll use strategic thinking to define and implement an efficient project plan. Some managers are based on-site while … improvements, you could also contribute to improving other areas of the business, like diversity, equity, and inclusion. About the team The Team's vision is a perfect fit across Data Science, Data Engineering and Business Acumen. We build strong technical solutions and don't build "what we are asked to" but what we believe will bring value. More ❯

ML pipelines using Python Build, fine-tune, and deploy machine learning models (including LLMs and transformers) Develop APIs and backend services to integrate AI models into applications Collaborate on data preprocessing, feature engineering, and model evaluation Stay up to date with the latest AI research and tools, and apply them to real-world use cases Contribute to code … ecosystem (e.g., NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow) Experience with machine learning model development , training, and deployment Familiarity with LLMs , NLP , or computer vision techniques Solid understanding of software engineering principles and version control (Git) Experience working in cloud environments (AWS, GCP, or Azure) Ability to work independently and communicate effectively in a remote team Bonus Points Experience with … Hugging Face Transformers , LangChain , or RAG pipelines Knowledge of MLOps tools (e.g., MLflow, Weights & Biases, Docker, Kubernetes) Exposure to data engineering or DevOps practices Contributions to open-source AI projects or research publications What We Offer Fully remote working A collaborative and inclusive team culture Opportunities to work on impactful AI projects with real-world applications Support for More ❯

system administration, troubleshooting, and issue resolution. Developing and maintaining documentation related to system interface configurations, user guides, and troubleshooting procedures. Developing integrations between Investran and other enterprise applications, ensuring data accuracy and consistency across systems. Supporting testing of new features and enhancements, ensuring minimal disruption to daily operations. Identifying opportunities for process improvements and automation within the Investran platform … and collaborate with stakeholders to implement solutions. Assisting in preparing reports and data extraction for analysis, audits, and decision- making. Other duties as assigned. 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 enterprise accounting software and … or API Development experience. Experience in system configuration, customization, and integration of financial applications. Investran or similar platform certifications beneficial. Good working knowledge of Accounting Platform database structures and data models. Proficiency in SQL and data query languages to extract and manipulate data. Experience beneficial in Object Oriented language development, including integrations with SOAP and REST based APIs. More ❯

Back End/Data Engineer - Acquisition Tech team Hybrid in London, UK The company Fast, flexible finance empowers small businesses to manage their cash flow better and seize opportunities - making their business and the economy stronger as a whole. At iwoca, we do just that. We help businesses get the funds they need, when they need it, often within … is to finance one million businesses. We'll get there by continuing to make our finance ever more relevant and accessible to more businesses by combining cutting-edge technology, data science, and a 5-star customer service. The team The Acquisition Tech team focuses on acquiring new customers through various channels and technologies. You'll be responsible for driving … growth through data engineering and tooling. Your primary focus will work with the marketing and sales teams to attract new customers while also ensuring compliance with data-privacy regulations, including unsubscribes and vulnerable person guidelines. The role The projects you'll work on will be diverse and will demand a strong proficiency in multiple technologies, primarily Python More ❯

Senior Consultant - Data & AI Pre-Sales Lead Company Description Are you ready to join the forefront of technology innovation with Netcompany? As one of the fastest growing technology companies, we are disrupting the marketplace and revolutionizing the way businesses operate. Our vision is to be the leading digital challenger in Europe whilst evolving the next generation of IT consulting. … our offerings are designed to meet diverse business needs Job Description The role will be responsible for devising solutions to business requirements for new and existing clients within the Data & AI domain. The role combines commercial acumen with broad technical expertise to be able to assist customers and partners in translating business requirements into cost effective, fit for purpose … bidding space. Through pragmatic, effective and customer focused presales, the role holder will contribute to targeted growth across our GTM. Working as part of the Netcompany GTM team the Data & AI Pre-sales Lead will support all aspects of presales customer engagement, including exploratory meetings, workshops, bids, and overall account strategy discussions. They will be able to demonstrate and More ❯