1,301 to 1,325 of 1,832 Data Pipeline Jobs in England

modern, intuitive UX with fast workflows, and a cloud-native architecture designed for scalability, resilience, and speed Real-time cash/liquidity data pipelines — building systems that give treasury professionals real-time transparency into cash and liquidity positions across banks, accounts, currencies, and legal entities worldwide Digital asset … least one major cloud platform (preferably Azure) Experience with containerization (Docker) and orchestration (Kubernetes) Understanding of infrastructure as code and CI/CD pipeline design Knowledge of observability: logging, metrics, tracing, and alerting strategies Experience with microservices deployment patterns and service mesh concepts Core Technologies: Deep expertise with C# ...

engineering experience, high agency, strong communication, and hunger to grow. In this role you will: Own end‐to‐end multiple backend services - APIs, data pipelines, shared libraries, and ML‐adjacent packages (Python, FastAPI, NestJS) Build frontend dashboards and UIs with clean DOM rendering, efficient state management, and solid … principles (React, TypeScript) Design and work with data models and migrations (PostgreSQL), and caching layers (Redis) Contribute to CI/CD and deployment infrastructure (Dockerfiles, Helm charts, GitHub Actions, K8s, AWS) and own release cycles end‐to‐end - versioning, binary packaging (PyInstaller), and distribution Write and use agent ...

Design and build scalable backend infrastructure for abuse detection, deploying AI/ML models into production systems-Architect robust APIs, data pipelines, and service architectures supporting real-time and batch moderation workflows-Implement comprehensive monitoring, alerting, and observability systems; establish SLIs, SLOs, and performance benchmarks-Partner with … farming at scale-6+ years of backend software engineering experience building production systems at scale-Strong production backend experience: distributed systems, APIs, data pipelines, and Python expertise (asynchronous Python, backend frameworks)-Infrastructure & DevOps proficiency: cloud platforms (AWS/GCP), containerization (Docker/K8s), CI/CD pipelines-Observability ...

fastest‐growing insurance companies. We research and develop AI systems that catapult insurance from a slow‐moving, traditional past into a data‐driven, technology‐lead and society‐defining future. We’re looking for dynamic, driven professionals like you to help evolve our business in new directions. … Senior Machine Learning Engineer, you will support the development of a privacy‐preserving generative AI ecosystem designed to protect personal and sensitive corporate data by design, including data residency, anonymisation and secure deployment principles. Working within a multidisciplinary and multi‐partner environment, the postholder will help ...

want to hear from you. This isn’t just about building new things. You’ll be enhancing and maturing one of thelargest health data platforms in the world, driving improvements, fixing bugs, and supporting a system that truly matters. You’ll be hands‐on with infrastructure-as‐code … participant‐facing websites, import and processing of high‐volume health, NHS and genetic datasets to the de‐identification/sharing of data into accredited Trusted Research Environments (TREs). At Our Future Health, our mission is to transform the prevention,detectionand treatment of conditions such as dementia, cancer ...

public services. Key Responsibilities: Designing and managing the infrastructure to support Research efforts in Model and Agent development incl. training infrastructure, data pipelines and inference. Product Engineering efforts on H Company’s agent platform including client-facing APIs and agent runtimes within various deployment scenarios (multi-tenant … Datadog, Prometheus, Grafana, ...) Good knowledge of a modern programming language (ideally Python or JS/Typescript) NICE TO HAVE ML Ops or Data Engineering Experience architecting and deploying distributed systems on public cloud (AWS, Azure, GCP) Containerization and orchestration tools (Docker, Kubernetes, ...) Infrastructure as code ...

models to drive meaningful improvements in user safety and platform integrity. Responsibilities: Own end-to-end machine learning solutions, from problem framing and data strategy through to modelling, deployment, and iteration in production Design and build scalable ML systems to detect fraud, abuse, and policy violations in user … domains, such as trust & safety, fraud, or abuse detection Proficiency in Python and experience writing production-quality code, with a solid understanding of data pipelines, model training workflows, and MLOps practices Demonstrated ability to own problems end-to-end, operate in ambiguous environments, and make pragmatic technical decisions ...

leading investors and founded by two entrepreneurs: one with a track record of building companies, and the other a leader in retail data and shopper analytics. Together, they have brought together frontier AI researchers and engineers, product and strategy leaders, and senior operators from major … edge computing, or hardware-adjacent systems. B2B or enterprise product experience. Background building for business or enterprise customers, where reliability, integrations, and data pipelines matter as much as the interface. Retail or personalisation. Familiarity with retail technology, commerce platforms, inventory systems, loyalty programs, or customer personalisation. Startup experience. ...

Alvar Financial Services seeks an experienced Python developer to build robust data pipelines and transform financial filings into structured data. You will orchestrate data feeds, ensure data quality, and extend backend APIs for a scalable SaaS platform. The role emphasizes production-grade scripting, documentation ...

Cognita is seeking a hands-on Data Engineer to build and maintain a modern cloud data platform in Azure Databricks. You will design robust data pipelines from CRM, MIS, Finance and HR data sources, with a focus on reliability, quality and governance. ...

Imagine, a global leader in trading and risk management, seeks a Quantitative Data Developer for our London office. Design and maintain data solutions for valuing positions and constructing quantitative datasets used in market risk calculations across asset classes. You will collaborate with Quant Developers on major … projects, building high-performance data applications with Python, SQL, and Snowflake, and document methodologies to enable robust validation and transparent analytics. #J-18808-Ljbffr ...

Funding Circle seeks a Senior Data Analyst in London (Hybrid) on a 12 month FTC to design and maintain Tableau reports and drive data-driven decisions. You will work with analytics engineers and managers to support growing analytical demand across the business, delivering scalable data solutions. You’ll collaborate with non-technical teams to translate requirements into actionable data insights, train Tableau users, and help migrate data pipelines to Snowflake while maintaining business #J-18808-Ljbffr ...

Pleo is seeking a Senior Data Engineer for the Growth Intelligence team. You will design and maintain the integration architecture linking our CRM, billing, and customer success tooling to a central BigQuery warehouse. You’ll own data contracts, implement monitoring, and push quality data through the stack, collaborating with RevOps, BAT, and Analytics Engineers to scale our commercial data foundations. #J-18808-Ljbffr ...

Title: Data Analysis Specialist Location: Chertsey, UK (Onsite) Contract Type: 12-Month Contract (with potential extension) About the Role: We are seeking a detail-oriented Data Analysis Specialist to support data analytics initiatives, run reporting workflows, and deliver actionable insights to senior management. … will work closely with the core analytics team to gather requirements, build data pipelines, and analyze datasets from key enterprise systems. Key Responsibilities: Support analytics task-streams and ensure successful delivery of reporting initiatives. Gather requirements and assist in designing data pipelines for extraction, transformation ...

International UK Limited is hiring a Data Engineer in the UK. You will join a supportive team to develop data solutions that power our People and Finance platform, working with data platforms and cross-functional groups. As an early-career data professional … gain hands-on experience with Azure, SQL, Python, data pipelines and database operations, with mentoring to help you grow into a fully-fledged Data Engineer. #J-18808-Ljbffr ...

Costa Coffee is looking for a Data Scientist to turn complex data into meaningful business insights. You’ll build predictive models, create data pipelines and deliver dashboards that influence commercial and operational decisions. Join a flexible, collaborative team moving toward a new UK-based … Support Centre in St Albans. You’ll work with Python, PySpark, SQL, Azure and Databricks in a modern data environment, communicating clearly with both technical and non-technical colleagues to drive value. #J-18808-Ljbffr ...

platforms (MMPs). Campaign Enablement & Optimization Oversee deployment and optimization of digital campaigns through technologies like DCO, SPO, and MMP. Drive efficiency through data‐informed testing, measurement frameworks, and performance optimization techniques. Tagging, Pixel & Tech Implementation Own onsite tagging strategies and data accuracy across … Adobe Analytics to create actionable insights and stakeholder dashboards. Collaborate with regions to drive visibility, consistency, and readiness across reporting outputs. Data Governance & Compliance Enforce policies that safeguard data privacy, accuracy, and platform compliance. Implement and optimize Conversion APIs and data pipelines that support ...

Stott and May is seeking a Lead Data Engineer to provide technical leadership and hands-on delivery for a Databricks-centric data platform in the insurance/fintech space. You will own architecture, strategy and roadmap for scalable data pipelines using Python, PySpark … while guiding a team of Data Engineers and collaborating with Risk, Quantitative Finance, Compliance and Data Science teams. Strong governance and stakeholder communication are essential. #J-18808-Ljbffr ...

this role, you will be responsible for developing database objects, optimizing query performance, and writing automated Unix scripts to handle batch processing and data integration tasks. The ideal candidate thrives in a backend environment, possesses excellent troubleshooting skills. Key Responsibilities Database Development: Design and develop highly efficient Oracle … performance by tuning complex SQL statements and PL/SQL blocks using tools like EXPLAIN PLAN, TKPROF, Oracle Hints, and indexing strategies. ETL & Data Integration: Design and manage Extract, Transform, Load (ETL) data pipelines using SQL*Loader, external tables, or native PL/SQL to migrate ...

Somerset Bridge seeks a Data Engineer to design, build and optimise data pipelines across Pricing, Underwriting and Claims. You’ll work on a modern Azure-based data platform, consolidating capabilities on Databricks, Delta Lake and Unity Catalog to support analytics and AI initiatives. … collaborate with Data Architects and Analysts, delivering scalable, secure data solutions in a hybrid setup with both real-time and batch processing. #J-18808-Ljbffr ...

Software Developer Analyst is responsible for developing, implementing, and supporting IRC’s global Data Toolkits and analyzing data generated by these products. The role focuses on data collection and program administration technology support, working closely with the METAL Unit to support program teams' data collection and use in the field. Responsibilities include designing, building, and maintaining data pipelines, dashboards, and technical docs, with emphasis on data quality and #J-18808-Ljbffr ...

+ discretionary bonus Sarasin & Partners is looking for a Quantitative Developer to join its centralised Quant team, working across quantitative research, investment data and software development. The Opportunity This is a broad technical role within a small quantitative team, working closely with researchers to develop the data infrastructure, tools and analytics that support investment research across the business. The role is particularly suited to someone with strong Python and data engineering skills who is interested in developing their understanding of financial markets and quantitative research. The Role You will work across a range ...

front lines, dedicated to safeguarding our platform against sophisticated financial crime. We leverage cutting-edge machine learning, real-time transaction monitoring, and advanced data analysis to create robust controls and detection capabilities. Our vision is to build a globally scalable fraud prevention engine that protects customer accounts, prevents …/CD pipelines, Distributed, and Concurrent Systems.\* Product Ownership: A strong product mindset, accountability, and the ability to drive projects independently, making data-driven decisions with the customer in mind.\* Data Proficiency: Experience with relational and non-relational databases, including query optimisation and designing resilient schemas. ...

hiring a Data Engineer in the Customer domain to build and maintain data pipelines powering customer analytics for beauty and nutrition brands. You will collaborate with the Senior Data Engineer and other team members to deliver a reliable customer data layer … enable insights across THG businesses. You should have strong Python and SQL skills, knowledge of data pipelines and cloud platforms like GCP/BigQuery, and be comfortable with Git and orchestration tools. #J-18808-Ljbffr ...

front lines, dedicated to safeguarding our platform against sophisticated financial crime. We leverage cutting-edge machine learning, real-time transaction monitoring, and advanced data analysis to create robust controls and detection capabilities. Our vision is to build a globally scalable fraud prevention engine that protects customer accounts, prevents …/CD pipelines, Distributed, and Concurrent Systems. Product Ownership: A strong product mindset, accountability, and the ability to drive projects independently, making data-driven decisions with the customer in mind. Data Proficiency: Experience with relational and non-relational databases, including query optimisation and designing resilient schemas. ...