16 of 16 Remote/Hybrid Distributed Computing Jobs in England

Microsoft Fabric, optimizing data performance, and supporting scalable, high-quality data engineering practices. The role requires strong technical expertise in NoSQL databases, distributed computing, and modern cloud development practices. Key Responsibilities Develop cloud-native applications using Azure Cosmos DB, including SQL API and MongoDB API. Design and implement … integration with Spark-based solutions. Experience working with Cosmos DB SDKs in technologies such as .NET, Java, Python, or Node.js. Strong understanding of distributed computing concepts and Apache Spark architecture. Hands-on experience developing data pipelines using PySpark. Experience with Pytest and automated testing frameworks. Strong understanding ...

software engineering best practices: testing, design patterns, CI/CD, Git. Experience building ETL/ELT or streaming data pipelines. Exposure to microservices and distributed system concepts. Experience working with cloud platforms, ideally AWS, but Azure/GCP also acceptable. Understanding of distributed compute, large-scale data systems ...

performance tuning, and troubleshooting Scripting experience for task automation using PowerShell, Bash, Python, or Ruby Experience with applications deployed on AWS or Azure, including distributed computing, containers, Kubernetes, and/or serverless technologies Strong analytical and problem-solving skills with the ability to debug complex issues under pressure ...

Design and build data pipelines and data-intensive applications Work across large-scale datasets in complex engineering environments Contribute to modern data platforms and distributed systems Collaborate with engineers and clients to deliver production-ready solutions Take ownership of delivery within high-impact programmes Work with modern tools … data engineering Your Responsibilities: Design and build scalable data pipelines and processing systems Develop data solutions using Python, SQL, or similar technologies Work with distributed processing frameworks such as Spark or Databricks Build and optimise data workflows across cloud platforms (AWS, Azure, GCP) Implement orchestration frameworks such as Airflow ...

Design and build data pipelines and data-intensive applications Work across large-scale datasets in complex engineering environments Contribute to modern data platforms and distributed systems Collaborate with engineers and clients to deliver production-ready solutions Take ownership of delivery within high-impact programmes Work with modern tools … data engineering Your Responsibilities: Design and build scalable data pipelines and processing systems Develop data solutions using Python, SQL, or similar technologies Work with distributed processing frameworks such as Spark or Databricks Build and optimise data workflows across cloud platforms (AWS, Azure, GCP) Implement orchestration frameworks such as Airflow ...

Technology, Sportsbook Product & Trading, People, Property, Corporate Communications and Strategic Partnerships & Transformation. We are seeking a Principal Data Solution Architect to design and deliver distributed data platforms that power Flutter’s applications across Gaming and Sportsbook. This role is focused on execution and solutions delivery – building scalable, high-performance … data platforms that enable real‐time and batch data processing at scale. The Principal Data Solution Architect will be responsible for architecting distributed data platforms including real‐time streaming infrastructure, distributed compute platforms, object storage solutions, and SQL/NoSQL data stores. You will work closely with application ...

transform diverse data sources into valuable insights for our client's National Security customers. You will collaborate with clients to solve complex challenges, utilising distributed computing techniques to handle large-scale, real-time, and unstructured data. Responsibilities include: Design and develop data pipelines, including ingestion, orchestration ...

transform diverse data sources into valuable insights for our client's National Security customers. You will collaborate with clients to solve complex challenges, utilising distributed computing techniques to handle large-scale, real-time, and unstructured data. Responsibilities include: Design and develop data pipelines, including ingestion, orchestration ...

transform diverse data sources into valuable insights for our client’s National Security customers. You will collaborate with clients to solve complex challenges, utilising distributed computing techniques to handle large-scale, real-time, and unstructured data. Responsibilities include: Design and develop data pipelines, including ingestion, orchestration ...

transform diverse data sources into valuable insights for our client’s National Security customers. You will collaborate with clients to solve complex challenges, utilising distributed computing techniques to handle large-scale, real-time, and unstructured data. Responsibilities include: Design and develop data pipelines, including ingestion, orchestration ...

best practices Numerical methods (Monte Carlo, PDEs, stochastic calculus) Data structures, algorithms, and performance optimisation Familiarity with: Quant libraries (e.g., QuantLib) Cloud platforms or distributed computing (nice to have) Version control tools (Git) 📊 Preferred Domain Expertise One or more asset classes: Equities Fixed Income FX Commodities Credit derivatives ...

Designing market data infrastructure * Historical time series management * VaR and stress testing data solutions * AWS cloud engineering * Risk analytics and pricing infrastructure * Large scale distributed computing Required experience: * Strong Python development * SQL and Snowflake expertise * Market Risk knowledge * Experience working with market data * AWS or cloud infrastructure experience ...

strong plus). Knowledge of institutional encodings (FIX, SBE) and low latency messaging (e.g. Aeron, 29West). Familiarity with fault tolerant, high availability, distributed computing. Crypto/digital asset experience or genuine curiosity about the space. A right to work in the UK without sponsorship. Find out more ...

architecture, system design and development of complex engineering or scientific software systems. Technological breadth across potential development languages and platforms including desktop, web, and distributed computing which may include the cloud. A proven ability to design scalable and extensible architectures; develop cloud infrastructure and distributed systems … time limit or sponsorship. A highly competitive salary is on offer, with further benefits anticipated in line with company growth. Keywords: CAE systems, desktop, distributed, cloud, architect, senior software engineer, senior software developer, Claude, Codex, server-side, front end, full stack. Another top job from ECM, the high-tech ...

CoreWeave is responsible for building and scaling the core platform that powers the world’s most advanced engineering simulation and AI workflows. From evolving distributed architecture to enabling the next generation of agentic applications and physical AI, this team delivers the performant, reliable, and scalable foundation trusted … team. You’ll own— in conjunction with the VP of Engineering—the technical vision and execution of our platform’s evolution to a more distributed architecture, making it agentic ready for the next generation of AI applications. In this role, you will Technical Leadership & Architecture Drive the ongoing transition ...

responsibilities. Key Responsibilities Help design and build Aalyria's centralized observability platform, integrating and scaling tools for metrics (e.g. Prometheus), logging (e.g. Loki), and distributed tracing (e.g. Tempo/OpenTelemetry). Define, implement, and manage a robust framework of Service Level Objectives (SLOs), Service Level Indicators (SLIs), and error … blameless post-mortems. Required Qualifications 4+ years of experience in an SRE or platform engineering role, with a focus on observability for large-scale, distributed compute or network systems. Deep, hands-on expertise building, scaling, and managing observability platforms (e.g., Prometheus, Grafana, Loki/ELK, OpenTelemetry, Tempo/Jaeger ...