1,301 to 1,325 of 3,079 AWS Jobs in England

amounts of cross asset market data using KDB technology for real-time and historical access. This is an exciting time as we migrate to AWS, re-architect our applications and build-out greenfield projects. Job responsibilities Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond … applications. Practical experience building resilient and high-availability KDB applications. Preferred qualifications, capabilities, and skills Experience with market data venue and vendor data platforms. AWS Experience. Experience in Terraform and Kubernetes from managing ABOUT US Our client is a global leader in financial services, providing strategic advice and products ...

Operations, Finance, and Compliance. The Core Technology Support & DevOps Team works across a modern technology stack that includes Python, Scala, Java, Angular, Kafka, and AWS platforms. What You'll Do Provide day-to-day support for multiple systems across MLP Deliver hands-on operational support to improve software delivery … detail and a consistent, organized approach to execution Ability to manage multiple priorities effectively and adapt quickly in a fast-paced environment Experience with AWS cloud technologies and AI tooling is a plusRecruiter: Ruby KazmiHiring Manager: Eoin CareyDepartment: Information Technology ...

processes Collaborating with senior stakeholders to align technical solutions with business objectives Supporting the ongoing evolution of a modern cloud-based data ecosystem using AWS, Snowflake, and dbt Contributing to the operation, monitoring, optimisation, and reliability of production data systems SKILLS AND EXPERIENCE The successful Principal Data Engineer will have … following skills and experience: Strong commercial experience in Data Engineering and modern software engineering practices Expertise working with AWS cloud services Experience building and scaling solutions within Snowflake Strong knowledge of dbt and modern data transformation methodologies Excellent SQL and data modelling capabilities Experience with CI/CD, DevOps practices ...

manager's technical number two. The immediate focus is the final stages of a large-scale migration from on-premises SQL Server to an AWS lakehouse, alongside designing the real-time streaming architecture that will take report latency from around 24 hours down to minutes. You'll have real authority … tooling, and there's room to go further What they're looking for: Previous experience as a Technical Lead (hands-on) Deep, hands-on AWS data experience: Glue, Lambda, S3, Redshift and EMR Advanced Python, PySpark and SQL Production experience with Kafka or Amazon MSK, including Spark Structured Streaming Hands ...

including data integration, data science, visualization, Big Data, AI, and Generative AI.Cloud & Application Services: We integrate leading platforms such as SAP, Salesforce, Oracle, Microsoft, AWS, and IBM Maximo, helping clients transition to the cloud and improve operational efficiency. Management & Innovation Consulting: We lead business and digital transformation initiatives through project ...

technical capability with leadership and stakeholder engagement skills. Key requirements include: Strong programming skills in Python, SQL or similar programming languages. Extensive experience with AWS Experience building, maintaining and optimising data pipelines and ETL processes. Understanding of data engineering principles, data management and data modelling. Experience with data orchestration ...

Microservice based architecture, designing enterprise services or integration capabilities using REST APIs and event-driven technology as well as leveraging native Cloud services (Azure, AWS or GCP), decentralised systems, and AI-particularly in the practical application of large language models Strong experience in leading multi-disciplinary project teams and delivering ...

builder and AI-first mindset to improve team productivity. Review delivery plans and architectures utilizing practical knowledge of the Databricks platform and cloud environments (AWS, Azure, GCP). Actively coach ICs on secure, scalable deployment patterns, governance, and production readiness. What We Look ForExperience: 8+ years of total technical experience … engineering, or AI/ML.Technical Depth: Strong technical background capable of evaluating architectures spanning distributed computing (Apache Spark), Python/Scala, modern cloud ecosystems (AWS, Azure, GCP), CI/CD, and MLOps/GenAI frameworks. Leadership Skills: Proven ability to manage technical project delivery, timelines, scoping, conflict resolution, and executive ...

Microservice based architecture, designing enterprise services or integration capabilities using REST APIs and event-driven technology as well as leveraging native Cloud services (Azure, AWS or GCP), decentralised systems, and AI—particularly in the practical application of large language modelsStrong experience in leading multi-disciplinary project teams and delivering technology ...

from strategic consulting to the design, deployment and 24/7 operation of secure digital platforms. With expertise across Microsoft, Salesforce, ServiceNow, Pega, SAP, AWS and Google, alongside strong in-house software development capabilities, we help organisations build scalable, resilient and AI enabled businesses. Our expertise spans transport and mobility ...

from experimentation into production. Founded in 2015, Immuta is trusted by Fortune 500 companies and government agencies worldwide. Our technology ecosystem includes Snowflake, Databricks, AWS, Microsoft Azure, Google Cloud, Okta, ServiceNow, Teradata, Alation, Atlan, and Starburst — connecting Immuta to the data, cloud, identity, and enterprise platforms powering modern data … provisioning requirements, and position Immuta as the essential platform for enterprises deploying AI responsibly. Leverage the ecosystem: Collaborate with alliance partners including Snowflake, Databricks, AWS, Azure, and GCP to drive coordinated go-to-market motions and accelerate revenue. Operate as a team: Collaborate closely with Sales Engineering, Product, and Marketing ...

deliver. ResponsibilitiesKey responsibilities include designing secure, scalable, and cost-effective data architecture, working with multi-functional teams to lead the adoption and integration of AWS/Azure architecture services, and collaborating with data engineers to prepare and deliver raw data for prescriptive and predictive modelingAssessing and advocating data management technologies … industry standard languages including SQL and PythonDemonstrated proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB), GraphQL and modern data warehouse tools including Snowflake ...

deliver. ResponsibilitiesKey responsibilities include designing secure, scalable, and cost-effective data architecture, working with multi-functional teams to lead the adoption and integration of AWS/Azure architecture services, and collaborating with data engineers to prepare and deliver raw data for prescriptive and predictive modelingAssessing and advocating data management technologies … industry standard languages including SQL and PythonDemonstrated proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB), GraphQL and modern data warehouse tools including Snowflake ...

background developing SaaS, platform, or enterprise-scale systems. Strong understanding of security, testing, observability and software engineering best practices. Experience operating applications within AWS environments. Familiarity with CI/CD pipelines, Linux and modern engineering workflows. Regular use of AI-assisted development tools such as Cursor, Claude Code or similar. ...

Hive, etc.; An understanding of statistical modelling techniques e.g. Classification and regression techniques, Neural Networks, Markov chains, etc.; An understanding of cloud technologies e.g. AWS, GCP or Azure A track record of demonstrated success with clients across multiple accounts Adept at working at all levels of the client's business ...

Experience • Strong commercial or industrial software engineering experience, with advanced Python skills. • Experience delivering complete applications, including backend services, APIs and databases. • Hands-on AWS cloud infrastructure experience. • Strong Linux, Docker, deployment, networking and security skills. • Genuine experience developing engineering modelling, simulation, optimisation or analytical applications, with software applied ...

investing significantly in its technology capabilities, evolving from a predominantly Microsoft-based environment towards a modern, cloud-enabled architecture incorporating C#, .NET Core, Java, AWS, Kafka and Redis . The successful candidate will combine strong hands-on engineering expertise with the ability to independently design, architect and deliver complex software … relational databases such as SQL Server or MySQL. Ability to articulate architectural decisions, evaluate technical trade-offs and solve complex engineering challenges. Desirable Experience AWS or another major cloud platform, ideally involving application modernisation or cloud-native development. Modern .NET/.NET Core. Java development experience alongside C#. Distributed systems ...

Tech: C# 5, Visual Studiuo, AWS, Angular. JS, Bootstrap, Docker Challenge: Greenfield Financial platform, API development, industry specific challenges Firm: Well-known fintech50 business, City of London, 30 man flat Dev Team Pay: 70k, Bonus- training budget, Pension, Life/Health, Some Flex WorkingC# Lead Developer FintechQuant Capital is urgently ...

capacity of reading, understanding and implementing new techniques in the field of machine learning as they emerge. Experience of using Cloud technologies eg. AWS, GCP or Azure Specialised visualisation techniques eg. D3.js, ggplot etc. Strong verbal/written communication & data presentation skills; Set yourself apart: Ability to lead large projects ...

optimisation or NLP, backed by a solid grasp of statistics, experimentation and feature engineeringExperience with modern ML infrastructure on a major cloud platform, ideally AWS, covering distributed data processing, orchestration, model management and infrastructure as codeHands-on experience shipping agentic or LLM-based systems, including agent orchestration frameworks, tool … good judgement on priorities when there's more to do than people to do itOur tech stack We build mostly in Python on AWS, and choose tools for what they do in production rather than for novelty. You don't need to know all of it on day one. Data ...

/LinuxExperience of agile methodologies will be an advantageHighly ValuedCapital markets experience, e.g. Derivs, Stocks, index, ETFs tradingProven delivery track record, Cloud experience (e.g. AWS) is preferredGood team player with a strong desire to participate and help othersAble to bring critical thinking and new ideas to the teamDemonstrates thoroughness ...

/LinuxExperience of agile methodologies will be an advantageHighly ValuedCapital markets experience, e.g. Derivs, Stocks, index, ETFs tradingProven delivery track record, Cloud experience (e.g. AWS) is preferredGood team player with a strong desire to participate and help othersAble to bring critical thinking and new ideas to the teamDemonstrates thoroughness ...

/LinuxExperience of agile methodologies will be an advantageHighly ValuedCapital markets experience, e.g. Derivs, Stocks, index, ETFs tradingProven delivery track record, Cloud experience (e.g. AWS) is preferredGood team player with a strong desire to participate and help othersAble to bring critical thinking and new ideas to the teamDemonstrates thoroughness ...

anomalies. Core Technical Skills : Zero Trust: NCSC and NIST frameworks, micro-segmentation, software-defined perimeters and context-aware access. Cloud and infrastructure security: Azure, AWS, and on-premises virtualised infrastructure. Infrastructure as Code: Terraform, Ansible and CloudFormation. Container security: Docker, Kubernetes, Istio, Prisma Cloud and Trivy. Networking and identity: VLANs ...

experience with Python or Spark. Data modelling, aggregation and MI/reporting expertise. Hands-on experience with dashboarding and visualisation tools. Familiarity with Azure, AWS or GCP. Understanding of data governance, privacy and compliance. Desirable: Experience with monitoring, observability or security log data. Knowledge of AI/ML platform monitoring ...