476 to 500 of 2,168 AWS Jobs in London

role, you will work among engineering teams to develop cutting-edge software solutions. Principal Duties and Responsibilities: - Build End to End dashboarding solutions to optimize EU CF Operations using AWS - Data source exploration, data warehousing expansion, horizontal datasets for downstream consumption - Work with customers to build Dashboards with the right KPIs, Metrics for decision making - Data Quality checks, ETL/… ELT processes, automation Technical Requirements: - Strong proficiency in SQL and Python programming - Extensive experience with data modeling and data warehouse concepts - Advanced knowledge of AWS data services, including: S3, Redshift, AWS Glue, AWS Lambda - Experience with Infrastructure as Code using AWS CDK - Proficiency in ETL/ELT processes and best practices - Experience with data visualization tools (Quicksight) Required Skills: - Strong … and ability to work with cross-functional teams - Background in data governance and security best practices Preferred Qualifications: - Master's degree in Computer Science, Information Systems, or related field - AWS certifications (Solutions Architect, Data Analytics) - Experience with real-time data processing - Experience with version control systems (Git More ❯

role, you will work among engineering teams to develop cutting-edge software solutions. Principal Duties and Responsibilities: - Build End to End dashboarding solutions to optimize EU CF Operations using AWS - Data source exploration, data warehousing expansion, horizontal datasets for downstream consumption - Work with customers to build Dashboards with the right KPIs, Metrics for decision making - Data Quality checks, ETL/… ELT processes, automation Technical Requirements: - Strong proficiency in SQL and Python programming - Extensive experience with data modeling and data warehouse concepts - Advanced knowledge of AWS data services, including: S3, Redshift, AWS Glue, AWS Lambda - Experience with Infrastructure as Code using AWS CDK - Proficiency in ETL/ELT processes and best practices - Experience with data visualization tools (Quicksight) Required Skills: - Strong … and ability to work with cross-functional teams - Background in data governance and security best practices Preferred Qualifications: - Master's degree in Computer Science, Information Systems, or related field - AWS certifications (Solutions Architect, Data Analytics) - Experience with real-time data processing - Experience with version control systems (Git More ❯

SC Clearance. Python and Go Engineer - Skills Summary 1. Programming & Development Python Development Proficient in building backend systems, automation tools, microservices, and APIs. Experienced with libraries such as boto3 (AWS), ldap3, hvac (Vault), jira, and kubernetes (via kubernetes-client). Proficient with modern Python features (asyncio, type hints, context managers) Go (Golang) Development Development of efficient, concurrent applications and services. … Skilled in building CLI tools, REST APIs, and interacting with external services. Familiar with go modules, error handling patterns, testing, and code organization. 2. AWS Services & API Integration Deep experience using AWS SDKs in both Python (boto3) and Go (aws-sdk-go-v2) to: Interact with services like EC2, S3, IAM, CloudWatch, and Lambda. Automate infrastructure provisioning and manage cloud More ❯

Established ‘ethically minded’ FinTech specialising in cutting edge Data Analytics are looking for a DevOps & Infrastructure Engineer. Wide variety of technology and cloud providers, including (but not limited to): AWS for most of their own internal projects Kubernetes, Helm and Docker for deployment of services GitLab for source control GitLab-CI for CICD pipeline Bash and Python for pipeline scripts … and Ansible for infrastructure as code Postgres (including RDS and Aurora) for most databases Responsibilities include: Day to day management of cloud infrastructure supporting our various projects, primarily on AWS Deployment of new cloud infrastructure using Terraform and Terragrunt. Development of CICD pipelines (Gitlab CI) for deployment of our microservices to Kubernetes (EKS) clusters using Istio, Docker, Helm, Python and More ❯

Established ‘ethically minded’ FinTech specialising in cutting edge Data Analytics are looking for a DevOps & Infrastructure Engineer. Wide variety of technology and cloud providers, including (but not limited to): AWS for most of their own internal projects Kubernetes, Helm and Docker for deployment of services GitLab for source control GitLab-CI for CICD pipeline Bash and Python for pipeline scripts … and Ansible for infrastructure as code Postgres (including RDS and Aurora) for most databases Responsibilities include: Day to day management of cloud infrastructure supporting our various projects, primarily on AWS Deployment of new cloud infrastructure using Terraform and Terragrunt. Development of CICD pipelines (Gitlab CI) for deployment of our microservices to Kubernetes (EKS) clusters using Istio, Docker, Helm, Python and More ❯

using data-driven technology to reduce waste and carbon emissions in the global concrete supply chain. Key responsibilities: Build and optimise backend services using modern, event-driven architecture on AWS Work on new features, APIs, performance tuning, and CI/CD improvements Collaborate closely with Data Science to deploy ML workloads in streaming systems Influence architecture and own key infrastructure … components Key Skills: Five years with TypeScript and AWS Strong experience with Lambda, Kinesis, EventBridge, and CDK v2 Strong attention to detail and ability to work independently Python experience Familiarity with JIRA and Confluence Hybrid – 2 days a week in Central London More ❯

the team. Additionally, this role provides a hybrid working arrangement based in London. Ready to make a move? Get in touch and apply today! Responsibilities: Respond rapidly to critical AWS incidents, identify root causes, and deploy automated hotfixes. Lead the setup and integration of Prometheus-Grafana observability stack. Refactor and modernize deployment pipelines using GitHub Actions and Kubernetes. Maintain robust … monitoring, alerting, and CI/CD systems. Skills/Must have: Strong hands-on experience with AWS (eg EC2, EKS, CloudWatch, Lambda). Background in incident, change, and problem management; comfortable with on-call rotations. Expertise in Prometheus, Grafana, and Splunk; solid knowledge of PromQL. Proficient in Scripting/programming (Python, Go, Bash, SQL). Salary: £500 per day More ❯

profile projects.Collaborate closely with Developers, Data Engineers, Product Managers, and Technology Specialists. Key Responsibilities:Design, develop, and maintain scalable, secure, and high-quality backend solutions using C#.Develop solutions within AWS cloud infrastructure, ensuring performance and resilience.Build and maintain CI/CD pipelines to enable rapid and efficient deployments.Work on mobile app integration projects to ensure seamless backend connectivity.Incorporate AI technologies … multiple projects simultaneously within a fast-paced FinTech environment. What They Are Looking For:7+ years of senior-level software development experience.Deep commercial experience with C# development.Strong knowledge of AWS cloud services and infrastructure.Proven experience with CI/CD pipeline development and deployment automation.Experience contributing to mobile app development projects.Keen interest and practical experience in AI technologies and their application … a major FinTech mobile app launch. Apply today to be considered for this fantastic Senior Software Engineer (C#) opportunity. Interviews are taking place shortly! Keywords: Senior Software Engineer, C#, AWS, AI, Artificial Intelligence, CI/CD, Cloud Infrastructure, Mobile App Development, Backend Development, FinTech, Hybrid Working, London, Agile, Automation, Financial Services, Mobile App Launch. Established in Didsbury, Connexa Technology Ltd More ❯

high-quality software solutions using Python.Contribute to mobile app development, ensuring seamless integration with backend systems.Build and maintain CI/CD pipelines for efficient and secure deployments.Develop solutions on AWS cloud infrastructure, ensuring performance, security, and scalability.Support and contribute to systems developed in C#/.NET where applicable.Incorporate AI technologies and tools where applicable to enhance functionality and efficiency.Promote engineering … solutions. What They Are Looking For:Senior-level experience (7+ years) in software engineering roles.Extensive experience with Python development.Proven experience contributing to mobile app development projects.Strong commercial experience with AWS cloud services and infrastructure.In-depth knowledge of CI/CD pipeline development and deployment automation.Proficiency in C#/.NET development is desirable.Experience or keen interest in AI technologies and their … mobile app and AI-driven solutions. Apply today to be considered for this fantastic Senior Software Engineer (Python) opportunity. Interviews are taking place shortly! Keywords: Senior Software Engineer, Python, AWS, CI/CD, Mobile App Development, C#, .NET, AI, Artificial Intelligence, Backend Development, FinTech, Hybrid Working, London, Cloud Infrastructure, Automation, Agile, Financial Services, Mobile App Launch. Established in Didsbury, Connexa More ❯

including AI Insights pilot and AI Automated Answers using LLM/RAG architectures. Maintain and optimize our mission-critical Machine Moderation system using Python-based NLP models deployed on AWS (Lambda, ECS, SageMaker, SQS, SNS). Train, evaluate, and monitor machine learning models using orchestration tools (e.g. Flyte, Airflow). Manage ML pipelines on AWS with containerized services and CI … consumer insights. Optimize batch and streaming ML workloads processing millions of reviews, questions, and answers daily. Technical Requirements: Strong Python proficiency for ML model development and deployment. Experience with AWS cloud services (Lambda, ECS, ECR, SageMaker, MSK, SNS, SQS). Familiarity with ML orchestration platforms and CI/CD pipelines. Knowledge of streaming technologies (Kafka) and high-volume data processing. … strong a Software Engineering or Computer Science background. Willingness to work with Scala-based systems and learn as needed. Key Technical Areas: Production ML system maintenance using cloud-native AWS infrastructure. Real-time and batch model serving with monitoring and alerting. Cross-functional API development and integration with existing services. Research and development of NLP applications for e-commerce content More ❯

solutions using Python. Contribute to mobile app development, ensuring seamless integration with backend systems. Build and maintain CI/CD pipelines for efficient and secure deployments. Develop solutions on AWS cloud infrastructure, ensuring performance, security, and scalability. Support and contribute to systems developed in C#/.NET where applicable. Incorporate AI technologies and tools where applicable to enhance functionality and … Are Looking For: Senior-level experience (7+ years) in software engineering roles. Extensive experience with Python development. Proven experience contributing to mobile app development projects. Strong commercial experience with AWS cloud services and infrastructure. In-depth knowledge of CI/CD pipeline development and deployment automation. Proficiency in C#/.NET development is desirable. Experience or keen interest in AI … mobile app and AI-driven solutions. Apply today to be considered for this fantastic Senior Software Engineer (Python) opportunity. Interviews are taking place shortly! Keywords: Senior Software Engineer, Python, AWS, CI/CD, Mobile App Development, C#, .NET, AI, Artificial Intelligence, Backend Development, FinTech, Hybrid Working, London, Cloud Infrastructure, Automation, Agile, Financial Services, Mobile App Launch. Established in Didsbury, Connexa More ❯

Experience In this role, you will be responsible for a variety of tasks, including: Load analysis Query optimization Role management Experience with modern cloud infrastructure, such as GCP/AWS, Kubernetes, and Docker Proficiency in Unix systems, ideally Linux (Ubuntu) Strong communication skills and experience mentoring engineers Responsibilities Your main responsibilities will involve working on: Data pipeline and underlying infrastructure More ❯

scalable, secure platform-based architectures (microservices, event-driven, etc) Large-Scale Data Handling: Build systems to manage and process large data volumes efficiently API Development: Design secure, scalable APIs AWS Cloud Expertise: Architect and deploy systems using AWS services (Lambda, API Gateway, S3, etc) Experience As a Product Engineer at Travtus you will design, implement and improve our backend infrastructure. … have experience Strong product-focus, owning end-to-end feature development and testing Extensive Python experience architecting product, platforms or microservices Experience with API development Hands-on experience with AWS cloud services Nice to have experience Experience or strong interest in AI Experience with TDD and an understanding of Contract testing Experience with CI/CD pipelines and strategies Compensation More ❯

SQL Server-based applications. You'll work closely with SMEs across multiple domains to assess and plan migration strategies that align with the organisation's future-state architecture - including AWS and Azure. Key Responsibilities Lead architectural assessment and strategy for migrating legacy and mainframe applications to cloud platforms. Evaluate applications for multiple migration paths: decommissioning, replatforming, rewriting, SaaS replacement, or … QSAM, relational databases, flat file systems). Collaborate with application and infrastructure SMEs to define optimal target platforms and integration strategies. Provide architectural guidance on cloud-native solutions, including AWS Lambda, ECS/EKS, RDS, S3, EFS, and containerised/serverless platforms. Explore use of mainframe migration tooling, cloud-based COBOL runtimes, and compiler compatibility. Support migration of storage (NAS … hybrid systems. Hands-on experience assessing legacy workloads and determining appropriate cloud-native migration paths. Knowledge of mainframe file systems and access methods (e.g., QSAM, VSAM). Familiarity with AWS (PaaS-first strategy): Lambda, ECS, EKS, RDS, EC2 custom builds, S3, EFS. Experience with Azure IaaS/PaaS, especially Azure SQL Managed Instance and file migration solutions like Azure NetApp More ❯

that leverage ML & Gen AI to meet enterprise requirements. Support production applications by helping maintain SLAs, using metrics to evaluate and guide the improvement of existing ML solutions Use AWS and Azure cloud services to provide the necessary infrastructure, resources, and interfaces for data loading and LLM workflows. Use Python and large-scale data workflow orchestration platforms (e.g. Airflow) to … and/or finetuning LLMs. (experience building agentic workflows strongly preferred) Experience building/enhancing search and information retrieval systems Exposure/experience in containerization technologies like docker, Kubernetes, AWS EKS etc. Proficiency in ML algorithms, such as multi-class classification, decision trees, support vector machines, and neural networks (deep learning experience strongly preferred) Knowledge of popular Cloud computing vendor … AWS and Azure) infrastructure & services e.g., AWS Bedrock, S3, SageMaker; Azure AI Search, OpenAI, blob storage, etc. • Bachelor’s degree (master’s or higher strongly preferred) in machine learning, computer science, data science, applied mathematics or related technical field What Would Make You Stand Out: Experience developing/integrating functionality for/in Document Management Systems and content management systems More ❯

Principal Data Engineer – AWS Location : London (Hybrid) Salary : £105,000 Job Type : Permanent A top-tier digital consultancy is making a key strategic hire at the Associate Director level for a hands-on, stakeholder-savvy Principal Data Engineer. You will take the helm of public and private sector data transformation programmes, drive technical delivery, and help shape a growing practice … at scale. This is a greenfield opportunity for a high-impact leader with deep AWS expertise and a consulting mindset as an experienced Principal Data Engineer. Key Responsibilities • Lead and deliver enterprise-grade data engineering solutions using core AWS services (S3, Glue, Lambda, Redshift, Matillion, etc.). • Define architecture, mentor large technical teams, and engage directly with senior client stakeholders. … and thought leadership. • Work closely with delivery and consulting leadership (including Head of Data Consulting) to shape project and platform strategy. Key Skills & Expertise • Extensive hands-on experience in AWS-first data engineering environments. • Proven track record leading multi-million-pound projects within consulting or enterprise-level engagements. • Strong stakeholder engagement at CxO or Director level. • Deep experience in cloud More ❯

Principal Data Engineer – AWS Location : London (Hybrid) Salary : £105,000 Job Type : Permanent A top-tier digital consultancy is making a key strategic hire at the Associate Director level for a hands-on, stakeholder-savvy Principal Data Engineer. You will take the helm of public and private sector data transformation programmes, drive technical delivery, and help shape a growing practice … at scale. This is a greenfield opportunity for a high-impact leader with deep AWS expertise and a consulting mindset as an experienced Principal Data Engineer. Key Responsibilities • Lead and deliver enterprise-grade data engineering solutions using core AWS services (S3, Glue, Lambda, Redshift, Matillion, etc.). • Define architecture, mentor large technical teams, and engage directly with senior client stakeholders. … and thought leadership. • Work closely with delivery and consulting leadership (including Head of Data Consulting) to shape project and platform strategy. Key Skills & Expertise • Extensive hands-on experience in AWS-first data engineering environments. • Proven track record leading multi-million-pound projects within consulting or enterprise-level engagements. • Strong stakeholder engagement at CxO or Director level. • Deep experience in cloud More ❯

on experience with data modeling tools (e.g., Erwin, Lucidchart, SAP PowerDesigner). Knowledge of Python and SQL (e.g., Snowflake or similar warehousing technology, real-time systems). Experience with AWS services such as Lambda, SNS, S3, EKS, API Gateway. Knowledge of data warehouse design, ETL/ELT processes, and big data technologies (e.g., Snowflake, Spark). Understanding of data governance … platforms, or database technologies. Experience developing and implementing enterprise data models. Experience with interface/API data modeling. Knowledge of CI/CD tools like GitHub Actions or similar. AWS certifications such as AWS Certified Data Engineer. Knowledge of Snowflake, SQL, Apache Airflow, and DBT. Familiarity with Atlan for data cataloging and metadata management. Understanding of iceberg tables. Who we More ❯

of London) with a strong delivery and solutions back ground in Data Analytics and Cloud. The ideal candidate should have expertise in next-gen data technologies such as Microsoft, AWS, GCP, Snowflake, and Databricks. Sales, Delivery, Presales, Solutioning experience is mandatory within Data Analytics alongside with the ability to deliver cloud-based enterprise platforms and data consulting skills is a … must. Responsibilities: 16-18+ years of total experience in DWBI, Big Data, Cloud Technologies Implementation experience and hands on experience in either of the 2 Cloud technologies – Azure, AWS, GCP, Snowflake, Databricks Must Have Hands on experience on at least 2 Hyperscalers (GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache Spark, Beam or … written and verbal communication skills. A minimum of 5 years’ experience in a similar role. Ability to lead and mentor the architects. Mandatory Skills [at least 2 Hyperscalers] GCP, AWS, Azure, Big data, Apache spark, beam on BigQuery/Redshift/Synapse, Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF Desirable Skills: Designing More ❯

of London) with a strong delivery and solutions back ground in Data Analytics and Cloud. The ideal candidate should have expertise in next-gen data technologies such as Microsoft, AWS, GCP, Snowflake, and Databricks. Sales, Delivery, Presales, Solutioning experience is mandatory within Data Analytics alongside with the ability to deliver cloud-based enterprise platforms and data consulting skills is a … must. Responsibilities: 16-18+ years of total experience in DWBI, Big Data, Cloud Technologies Implementation experience and hands on experience in either of the 2 Cloud technologies – Azure, AWS, GCP, Snowflake, Databricks Must Have Hands on experience on at least 2 Hyperscalers (GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache Spark, Beam or … written and verbal communication skills. A minimum of 5 years’ experience in a similar role. Ability to lead and mentor the architects. Mandatory Skills [at least 2 Hyperscalers] GCP, AWS, Azure, Big data, Apache spark, beam on BigQuery/Redshift/Synapse, Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF Desirable Skills: Designing More ❯

as CircleCi (or GitHub Action as an acceptable alternative); and + DB tools across MySQL/MariaDB along with SQL queries and procedures. The role will include utilisation of AWS Cloud technologies and infrastructure, including monitoring tools such as AWS CloudWatch, New Relic and Zabbix. It will encompass AWS services and technologies particularly related to hosting and scaling applications, such … as EC2, S3, Lambda, and IAM, and knowledge of concepts around authentication, security, infrastructure provisioning using Terraform and AWS CloudFormation, containerisation, VPC, security groups, load balancers, and other networking concepts within AWS would be advantageous. Your Responsibilities Planning and Operations: + Oversee the integration and processing of planning and publishing data between the various systems in the ecosystem. + Implementation More ❯

thrives on code reviews, pair programming , and test-first development . Your typical day might include: Building and refining scalable backend systems using Python and Django Designing infrastructure on AWS and implementing robust CI/CD pipelines Writing clean, tested code that supports millions of users worldwide Collaborating closely with a global, diverse team of engineers Advocating for best practices … and giving and receiving feedback Requirements What We're Looking For You have strong Python experience and have built backend services using Django You're familiar with cloud platforms ( AWS , Azure, or GCP) and tools like Terraform , CDK , or CloudFormation You understand how to ship code with confidence-through CI/CD , testing , and monitoring You're comfortable with Docker More ❯

service department replacing a legacy HR system Experience and qualifications Technical 3+ years' experience in data or software engineering Knowledge of Python, SQL, Databricks, Snowflake, and major cloud platforms (AWS/Azure/GCP) Ability to learn quickly and adapt to new technologies and sectors Understanding of data engineering best practices and system design Strong communication skills for explaining technical More ❯

text data). As POCs are very time sensitive, this can be a fast-paced role at times in order to meet the deadlines. You will use tools like AWS to innovate, improve, and automate this integration process. You will become a subject matter expert around these integrations in order to support our sales teams when technical questions arise. How … to a myriad of business and technical roles throughout the company You'll learn and improve your programming skills in Python and JavaScript You'll increase your familiarity with AWS, the Cloud environment, Security, and global data protocols You'll find opportunities to step into other future roles like Engineering, Security, Product Management, Cloud Operations, Sales, Solution Engineering, and more. … Notebooks) Load the data via APIs or pre-built Discover connectors Advise our Sales Engineers and customers as needed on the data, integrations, architecture, best practices, etc. Build new AWS-based tools to automate the proof of concept process What We're Looking For On Your CV Self-starter with 6+ years relevant analyst or other consultative experience with SaaS More ❯

knowledge of: .NET 9 ASP.NET React Angular 19 Microservices Azure WPF MVVM Prism Agile Azure SQL and more Additionally, there are opportunities for training in: JavaScript TypeScript MongoDB Vue.js AWS and other related technologies The training also covers areas like continuous integration, dependency injection, RESTful, Web API 2, Entity Framework, Node.js, Elasticsearch, Agile methodologies (TDD, BDD, Scrum, and Kanban). More ❯