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Build meaningful data products and apply Machine Learning using Python, SQL, and AWS. The role involves data modeling and communicating insights to clients.
Senior Data Engineer at Zurich Insurance Group's Barcelona Technology Delivery Center, building end-to-end data and AI products for Claims, Pricing and Underwriting. Day to day: designing scalable cloud data pipelines (Databricks, Spark, AWS/Azure), CI/CD and MLOps, cloud-native microservices, and LLM-powered products (RAG, agents) in Python.
Senior fullstack developer for a banking-sector project: build Java 17+/Spring Boot microservices and Angular 17+ microfrontends, migrate business rules to a BRMS (Drools/DMN), integrate with Kafka and Oracle databases, and deploy on Kubernetes in OCI using agile methods and AI-assisted development.
Data Engineer supporting the Information Management Function at HS2 Ltd: designing and running scalable cloud-native data pipelines in Snowflake, with strong SQL, Python, data modeling and data governance, partnering with analytics teams to deliver enterprise data products. Hybrid role based in London or Birmingham.
Data engineer for a DeFi trading protocol, owning ingestion pipelines for on-chain events and market data, building parameter models, and designing health dashboards in Grafana. Core stack is Python, SQL, and AWS with a focus on reproducible, tested environments.
Hands-on data engineer/architect building and scaling secure, cloud-native data platforms (ingestion to serving, batch and real-time) for defence, national security and critical infrastructure programmes. Core stack: Python, SQL, Spark, Databricks, lakehouse/streaming/warehouse architectures. Active DV clearance is mandatory.
Internal applicants only: a Data Engineer in the Business Intelligence service of London Borough of Waltham Forest, building data pipelines, semantic models and reporting using Microsoft Fabric, Power BI, SQL, Python and R. Permanent, hybrid role with at least two days per week on site; no Skilled Worker visa sponsorship for this position.
Senior Data Engineer / Analyst at a global luxury hospitality company in Mayfair, London (hybrid, min 3 days/week in office). You'll build and maintain data pipelines with Azure Data Factory and Snowflake, work with large SQL datasets, and develop Tableau reporting across reservations, hotel operations and customer insights.
Senior full-stack engineer in London co-leading architecture of data-driven products (web portals, document generation, cloud apps handling billions of records) for sales, account management, and customer success teams, built with Python, TypeScript, AWS, and Terraform, while mentoring teammates and exploring AI capabilities.
Data Engineer joining the London Borough of Waltham Forest's Business Intelligence service to design and build data infrastructure and pipelines connecting multiple systems into trusted data products. Day-to-day work centers on Microsoft Fabric, Power BI, SQL, Python and R in a hybrid setup.
Data Engineer on TP ICAP's Surveillance Technology team in Belfast, building and maintaining AWS data pipelines that feed trade and communications surveillance platforms (Scila, Global Relay). Day-to-day involves ETL/ELT pipeline development with Python/Java, SQL, Airflow/dbt/Spark, infrastructure-as-code with Terraform/CDK, plus data quality checks, monitoring, and reconciliation.
Data Engineer at a food manufacturing client (placed via Forsyth Barnes) who designs and builds greenfield data pipelines, data models, and semantic layers for production planning analytics. Core stack: Microsoft Fabric, D365, legacy systems, and external APIs, with strong SQL and Python, based in Preston, UK.
Fully remote UK consultancy role building GenAI-powered microservices (Python/FastAPI or TypeScript/Express) with React frontends on AWS/Azure, deployed with Docker, Kubernetes and modern CI/CD. Requires SC clearance; salary banded £55k (Consultant) to £70k (Senior Consultant) with ad hoc client-site travel.
Sourced by Kintec Global Recruitment for a Manchester-based (onsite) full-stack engineer: build React/TypeScript frontends and Python (Flask/Django/FastAPI) backends, design APIs and system integrations — including for Microsoft Dynamics 365 Business Central — create Power BI reports, and work with business stakeholders to deliver scalable solutions.
Harvey Nash Group in London is hiring a Senior Full-Stack Engineer to shape its platform ecosystem, building web portals, automated document generation, and cloud apps processing billions of records. Day to day you design APIs and frontends with Python and TypeScript, review designs, and implement AI-powered features.
Senior full-stack engineer at HSBC delivering Java 21+ backend microservices, React UI applications and database changes to production. Shapes architecture and works with Docker, Kubernetes and GCP for reliable, frequent production releases.
Full-stack GenAI consultant role at a digital consultancy building AI-powered solutions for government, finance, retail and energy clients: Python/FastAPI or TypeScript/Express backends, React/Next.js frontends, LLM integration, AWS/Azure, Docker/Kubernetes. Fully remote with ad hoc client travel; SC clearance eligibility required and no visa sponsorship.
Travel Chapter is hiring a remote, UK-based Data Engineer (£40,000 starting salary) to design, build, test, and operate data solutions — migrating data and expanding its data warehouse to power product decisions. Day-to-day work uses Python and SQL within the Product Engineering group.
Full-stack engineer at Smart Communications building and scaling its enterprise-grade customer engagement platform, owning features from conception to production in Agile teams. Core stack includes Java/Spring, with contributions to test suites and CI/CD; remote role with occasional visits to the Covent Garden, London office.
Senior full-stack developer / tech lead for a profitable Norwegian ecommerce startup, fully remote. As the company's only developer you'll work directly with the CTO and founders, owning architecture and a self-built ecommerce platform handling thousands of daily orders, using Next.js/Node.js, Java microservices, NGINX, and Unix server tooling.
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