401 to 425 of 548 AWS Lambda Jobs in the UK

underpin critical business reporting and operational decision‐making. You will drive the development of data pipelines, models, and architecture across our modern data stack (AWS, Snowflake, dbt) ensuring performance, reliability, and scalability. Working closely with Architecture, Data Analytics, and Salesforce teams, you will drive the evolution of our data … translate complex business needs into scalable, production‐grade data solutions. Key Responsibilities Design, build and optimise scalable data pipelines and data products across AWS, Snowflake and dbt, setting engineering standards and best practices. Lead the development of robust, testable dbt models and frameworks to ensure high data quality, consistency ...

deliver end-to-end product features across the stack: UI, APIs, and data model. Develop in TypeScript on Node and use Pulumi to deploy AWS tech like Lambda, DynamoDB and API Gateway in a way that’s reproducible, reviewable, and safe to change. Design event-driven solutions that … REST or GraphQL services, and considering how your API choices impact the clients that call them You might have worked with cloud providers like AWS and Azure in the past. Have familiarity with Infrastructure-as-code such as Pulumi/Terraform, ORMs such as Prisma or Drizzle ...

have frontend experience with Vue.js, React or modern Angular You have a good knowledge of SQL and relational databases You have production experience with AWS, ideally including SQS, DynamoDB, S3, ECS and Lambda You have experience owning CI/CD and release processes, such as GitHub Actions ...

inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls. Strong AWS background, including serverless orchestration (Step Functions/Lambda), container deployment (ECS/EKS), and managed data services Proven track record designing and evolving service ...

Fivetran, or Tableau would be beneficial but is not essential. Our Tech Environment: Data Stack: Snowflake, dbt, SQL, Python, Fivetran, Dagster, DataDog, Tableau. Infrastructure: AWS (SageMaker, EC2, Lambda, Glue, S3), Terraform, API Gateway. Collaboration Tools: GitHub, Jira, Confluence. Analytics Tools: GA4, GTM, GCP BigQuery. How we get there ...

Experience in orchestrating complex pipelines using Airflow, Dagster or other Proficiency in one or more programming languages: Python, Java, GO or other Experience with AWS or GCP and their products (S3, GCS, Kinesis, Pub/Sub, Lambda/Cloud functions, DataProc) Experience with one of the main databases ...

security. OUR MODERN TE OUR MODERN TE Our Modern Tech Stack: Experience is helpful, but not essential: Languages: Python, SQL, Terragrunt, JavaScript Cloud: AWS (primary), some GCP Warehouse & Storage: Snowflake, S3/Parquet Data & ETL: dbt, Fivetran Platform & Infra: Kubernetes, Kafka, RabbitMQ, Argo, GitHub Actions, HashiCorp Vault Observability: Datadog … similar) Strong experience with Snowflake (or similar warehouses) Good understanding of software engineering patterns and architectures Experience building data-intensive systems Cloud experience (AWS preferred) Infrastructure as code (Terraform ideally) CI/CD best practices Familiarity with modern data architectures (Lambda/Kappa) Just as importantly ...

platformsExperience designing and building event streaming architectures using technologies such as Apache Kafka and Azure Event HubsStrong working knowledge of Azure and/or AWS cloud services, including compute, storage, serverless, and container orchestration (e.g., AKS, EKS, Azure Functions, Lambda)Solid experience with .NET/C# ...

offices at least once per week. Job requirements Strong experience in modern C#, TypeScript, HTML and CSS Strong cloud platform experience, ideally AWS Strong CI/CD experience Strong experience of using infrastructure as code (e.g., CDK, Terraform) Experience developing serverless applications (e.g., Lambda) A strong focus ...

Alembic, Pytest, and type checking. Experience with Pandas, NumPy, Jupyter, OpenTelemetry, Git/GitHub, GitHub Actions, and Docker. Experience developing microservices and/or Lambda-based solutions. Strong experience with PostgreSQL. Experience working with AI/ML technologies, particularly ASR, TTS, LLMs, or related tooling, is highly desirable. AWS ...

Responsibilities Design, develop, and maintain high-performance backend services using Golang. Build scalable microservices and RESTful APIs. Develop and support cloud-native applications within AWS environments. Contribute to architecture discussions and technical decision-making. Implement CI/CD pipelines and automated testing practices. Work with event-driven and serverless … assisted development tools to improve productivity and quality. Skills & Experience Commercial experience developing applications usingGolang. Experience building APIs, microservices, and distributed systems. Exposure to AWS cloud services and modern cloud-native development. Understanding of CI/CD pipelines and automated testing practices. Experience working with SQL and/ ...

data warehouse using Fivetran and custom pipelines Own data orchestration to keep data moving on schedule and recover cleanly from failures Build and manage AWS-based data infrastructure as code with Terraform Build enterprise-grade customer data pipelines and connectors for HR, payroll, and other systems Reliably and securely … product and stakeholders to scope problems and agree on simple, scalable solutions Build according to security practices such as the OWASP Top 10 and AWS Well-Architected Framework Requirements Strong experience with Python and SQL A few years building and running production data pipelines that other people relied ...

/ML delivery lifecycle: stakeholder requirements, solution design, prototyping, evaluation, deployment support, monitoring, and iteration. Develop Python-based AI/ML solutions on AWS/GCP, contributing production-ready code as part of a delivery team. Build and evaluate AI/LLM solutions, including prompt/RAG patterns … comfortable working with ambiguity. Preferred qualifications, capabilities and skills Experience delivering AI/ML solutions in a regulated financial organisation. Cloud experience on AWS and/or GCP, with AWS preferred. Experience with tools such as S3, Lambda, Glue, Athena, Iceberg, Vertex AI, BigQuery, GCS, Cloud ...

/ML delivery lifecycle: stakeholder requirements, solution design, prototyping, evaluation, deployment support, monitoring, and iteration. Develop Python-based AI/ML solutions on AWS/GCP, contributing production-ready code as part of a delivery team. Build and evaluate AI/LLM solutions, including prompt/RAG patterns … comfortable working with ambiguity. Preferred qualifications, capabilities and skills Experience delivering AI/ML solutions in a regulated financial organisation. Cloud experience on AWS and/or GCP, with AWS preferred. Experience with tools such as S3, Lambda, Glue, Athena, Iceberg, Vertex AI, BigQuery, GCS, Cloud ...

collaborative team made up of software engineers and platform engineers across a range of experience levels. The team works across technologies including Terraform, AWS, Node.js, C# and Python, but we do not expect you to know everything from day one. In this role, you will work closely with engineers … Terraform, following existing module patterns while identifying opportunities to improve quality, maintainability and automation. Apply least-privilege and secure-by-default principles consistently across AWS accounts, helping ensure our infrastructure meets Trainline's standards for security and operational excellence. Build or contribute to automation scripts and tooling using Node.js ...

/ELT pipelines, data warehousing, and analytics infrastructure. Set engineering standards, tooling decisions, and technical direction across the data stack (Python, SQL, DBT, AWS: S3, Glue, EMR, Lambda, Aurora, Airflow, Terraform). Ensure data availability, integrity, and performance as the platform scales globally. Drive best practices in data … interface engines (Mirth Connect, Rhapsody, or equivalent). Experience integrating with major EHR platforms (Epic, Cerner, Meditech, or similar). Strong command of the AWS data stack: S3, Glue, EMR, Lambda, Aurora, and orchestration tools such as Airflow. Proficiency in Python, SQL, and DBT; familiarity with IaC tooling ...

troubleshooting skills. Understanding of secure software delivery and engineering best practices. Awareness of AI‐enabled tools and approaches that enhance productivity and delivery effectiveness. AWS services including Lambda, S3, DynamoDB, and related cloud‐native capabilities. NATS JetStream or comparable event‐streaming and messaging platforms. REST API design frameworks … associated governance practices. CI/CD and DevOps tooling and practices. Experience within payments, merchant acquiring, chargebacks, or dispute management domains. AWS certifications or other relevant cloud certifications. Experience with observability, monitoring, and operational support frameworks. We are a Disability Confident Employer: Capgemini is proud to be a Disability ...

analytics teams to support BI and reporting requirementsOptimize data structures for performance and scalabilityCloud & Platform EngineeringBuild and maintain data solutions on cloud platforms (Azure, AWS, GCP)Implement and manage data tools such as: Azure Data Factory/Synapse/DatabricksAWS Glue/Redshift/EMRGoogle BigQuery/DataflowEnsure systems … with distributed data frameworks (Spark, Hadoop)Experience with data pipelines and ETL toolsExpertise in at least one cloud platform: Azure (Synapse, Data Factory, Databricks)AWS (S3, Glue, Redshift, Lambda)GCP (BigQuery, Dataflow)Data Platform ExpertiseExperience with: Data warehousing solutionsStreaming technologies (Kafka, Kinesis, Pub/Sub)Familiarity with DevOps ...

using the right tech for the right task, you can expect to work with the following technologies to ensure scalable, high-performance applications: AWS is a significant growth area for us with a diverse and growing capability and we are looking for a Data Engineer with experience in AWS … cloud technologies for ETL pipeline, data warehouse and data lake design/building and data movement. AWS data and analytics services (or open-source equivalent) such as EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB. What you can expect ð Work to agile best practices and cross-functionally with multiple ...

Using The Right Tech For The Right Task, You Can Expect To Work With The Following Technologies To Ensure Scalable, High-performance Applications: AWS is a significant growth area for us with a diverse and growing capability and we are looking for a Data Engineer with experience in AWS … cloud technologies for ETL pipeline, data warehouse and data lake design/building and data movement. AWS data and analytics services (or open-source equivalent) such as EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB. What You Can Expect Work to agile best practices and cross-functionally with multiple teams ...

reliable, scalable, and production‐ready. Responsibilities Data Platform Architecture Lead the hands‐on design, coding, and evolution of DFP’s cloud‐native data architecture (AWS/GCP/Snowflake). Architect and implement scalable ingestion and transformation pipelines using Fivetran, Databricks, and Airflow/DBT. Design and code modular … workflows using Fivetran, Airflow, DBT, or Databricks. Solid understanding of data modeling, dimensional design, and schema normalization at enterprise scale. Strong experience with AWS (S3, Redshift, Glue, Lambda) or GCP (BigQuery, Dataflow). Experience working with marketing or ad platform data (Google Ads, Meta, TikTok, DV360, Amazon ...

using Backend: Python and Django, on a service-based architecture with a strong focus on multi-tenant data isolation. Cloud and infrastructure: AWS, managed with Pulumi. ECS/Fargate, Docker, ALB, SQS, S3, Lambda, API Gateway, ElastiCache, WAF, CloudWatch, and more. What we\'re looking … worked with some of: Python, or another backend language you know well. Claude Code, Cursor or Codex. A relational database like Postgres. AWS, or another cloud (ECS/Fargate, Lambda, SQS, S3, or the equivalents). Docker. Infrastructure as code (Pulumi, Terraform, or similar). ...

team made up of software engineers, DevOps engineers and platform engineers across a range of experience levels. The team works across technologies including Terraform, AWS, Node.js, C# and Python, but we do not expect you to know everything from day one. In this role, you will work closely with … existing module patterns and working with others to ensure changes are clear, consistent and maintainable. Apply least-privilege and secure-by-default principles across AWS accounts, helping us maintain a secure and reliable platform environment. Contribute to automation scripts or tooling using Node.js or Python, supporting repeatable delivery ...

Occasional travel may be required for workshops or meetings, but unlikely to be any regular travel. Long-term contract until February 2028 Oracle, AWS & DevOps – help modernise critical government digital services ABOUT THE CLIENT: Our client is a major UK public sector organisation responsible for delivering essential digital services. … infrastructure automation, monitoring and alerting, scripting and continuous improvement across the database estate. PRINCIPAL ORACLE DBA ESSENTIAL SKILLS: Expert-level Oracle DBA experience Strong AWS experience, particularly EC2, RDS, Lambda and S3 Expert Oracle SQL tuning – execution plans, indexes, hints and optimiser behaviour Strong PL/SQL application ...

trustworthy Deploy and support production ML systems (including forecasting and LLM-driven workflows) with monitoring, versioning and CI/CD Maintain and improve an AWS-native data platform (e.g., S3, Redshift, RDS, Athena, SageMaker, Lambda) Write and optimise complex SQL for analytics, reporting, modelling and downstream … quality Python and advanced SQL skills Experience running machine learning systems in production , including model serving and monitoring Comfort working across cloud infrastructure (ideally AWS ) and an understanding of platform/DevOps principles A pragmatic, ownership-driven approach: you’re happy to dive into problems, unblock others and keep ...