276 to 300 of 384 AWS Lambda Jobs in England

Role The UK Connect team supports Capital One’s UK Contact Centre operation run using Amazon Connect on Amazon Web Services (AWS). The team sits at the intersection of enabling a busy contact centre across voice and chat channels, delivering on its own platform roadmap, and ensuring secure … engineering standards and mentor peers while working on a variety of technical challenges. Technology Stack Node/TypeScript or Go for primary software development. AWS Serverless Ecosystem – Lambda, API Gateway, DynamoDB, S3. Amazon Connect Customer and the custom‐built front‐end portal. Jenkins for infrastructure as code ...

using Python and Apache Spark. Implement batch workflows and ETL processes adhering to modern engineering standards. Develop Cloud-Based Workflows Orchestrate data workflows using AWS services such as Glue, EMR Serverless, Lambda, and S3. Contribute to the evolution of lakehouse architecture leveraging Apache Iceberg. Apply Software Engineering Best … batch processing, schema evolution, and ETL pipeline development. Experience with—or strong interest in learning—Apache Spark for large-scale data processing. Familiarity with AWS data ecosystem tools such as S3, Glue, Lambda, and EMR. Ways of Working Comfortable working in Agile environments and contributing to collaborative team ...

tuning SQL/PLSQL queries and improving performance of reports and data extracts. Hands‐on experience with at least one cloud data platform, ideally AWS (e.g., Redshift, RDS, or similar). Exposure to modern data transformation tools such as dbt or similar frameworks. Basic understanding of cloud concepts (networking … technologies, and in improving data quality, reliability, and performance. Bonus Skills Experience with other reporting/BI tools such as Power BI or AWS QuickSight. Experience with cloud data warehouses like AWS Redshift, Snowflake, or BigQuery. Some knowledge of Kafka and a programming language (e.g., Python or Java ...

React Native and TypeScript, which talks to a backend service written in Kotlin and backed by a PostgreSQL database, all of which runs on AWS and is managed via Terraform. Our internal tools leverage these technologies in addition to Web React and Python. We’re an encouraging environment that … Evaluate and deliver timeline estimates for projects Requirements 5+ years of professional experience building API applications using Python or Kotlin ideally. Experience working in AWS cloud, and leveraging services like ECS, Lambda, RDS, DynamoDB, SQS, SNS, EventBridge. Experience owning user‐facing features end‐to‐end, from conception ...

React Native and TypeScript, which talks to a backend service written in Kotlin and backed by a PostgreSQL database, all of which runs on AWS and is managed via Terraform. Our internal tools leverage these technologies in addition to Web React and Python. We’re an encouraging environment that … Evaluate and deliver timeline estimates for projects Requirements 5+ years of professional experience building API applications using Python or Kotlin ideally. Experience working in AWS cloud, and leveraging services like ECS, Lambda, RDS, DynamoDB, SQS, SNS, EventBridge. Experience owning user‐facing features end‐to‐end, from conception ...

Expert Python Deep hands-on PyTorch experience; TensorFlow welcome Experience with Hugging Face Transformers, timm, scikit-learn, NumPy, pandas, and OpenCV Production experience on AWS, specifically Amazon SageMaker, including training and processing jobs, pipelines, model registry, and endpoints Practical MLOps experience with MLflow, hyperparameter optimisation, and reproducible, configuration-driven … workflow, automated testing, and CI/CD Ability to explain technical trade-offs clearly to non-engineers Desirable: event-driven and streaming architectures on AWS, including Step Functions, Lambda, Kinesis, ECS, and DynamoDB Desirable: model monitoring in production, inference logging, and drift detection Desirable: exposure to healthcare, medical ...

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 ...

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 ...

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 ...

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 ...

Develop scalable batch and real-time data-processing solutions. Lead the design of a Customer Data Platform. Build and evolve a lakehouse architecture using AWS technologies. Create governed semantic models, consistent metrics and clear data definitions. Enable secure, self-service data analysis using modern AI tooling. Automate manual, repetitive … solely delivering individual components. You’ll need experience across: Batch data processing, ELT and orchestration. Modern streaming technologies such as Flink or comparable platforms. AWS data services, including S3, Lambda, Glue, Athena, Kinesis and RDS. Infrastructure as code using Terraform. CI/CD and automated testing. Lakehouse architecture ...

/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 ...

/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 ...

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). ...

transforming data engineering. What we're looking for: 24 years' experience in data engineering Strong SQL, Python and DBT skills Experience with AWS and/or Databricks Experience building ETL/ELT pipelines and data warehouses Knowledge of AWS services such as S3, Lambda and Glue Familiarity … with Git and infrastructure-as-code tools such as Terraform or AWS CDK Strong problem-solving, communication and troubleshooting skills A genuine interest in emerging technologies, particularly Agentic AI London Hybrid, 23 days per week onsite Salary: up to £60,000 This is a great opportunity for a Data ...

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 ...

fast first-line teams ship.The scope spans the full model lifecycle: data integrity and feature engineering, conceptual soundness, deployment design across Docker, Jenkins, and AWS, and the monitoring and drift detection that keeps a model honest after launch.What you'll doYou'll assess model performance using fraud-specific metrics … monitoring practices to confirm they catch degradation before it costs the business.You'll assess CI/CD and deployment controls — Docker, Jenkins, and the AWS SageMaker, S3, Athena, and Lambda environments models run in.You'll evaluate model governance documentation, explainability approaches, and compliance with regulatory expectations on model ...

facing pilots. Cross-functional engagement Work alongside the ProfileOne Product Manager on the architectural separation between unifying layer and agentic platform. Partner with the AWS infrastructure/DevOps function on production deployment, scaling and security hardening. Represent the agentic platform in client technical discussions, internal SteerCo updates and Group … institutions. Hands-on, recent experience with at least one agentic framework — LangGraph, LangChain, AutoGen, CrewAI, or comparable — including supervisor/multi-agent patterns. Strong AWS engineering background (Bedrock, Lambda, S3, IAM, CloudWatch); production operating experience on AWS-native AI/ML stacks. Demonstrated experience designing evaluation frameworks ...

reliable software delivery What You’ll Bring Extensive experience in our modern technology stack which includes React, Node.js and Typescript Experience with the AWS services such as Amazon Cognito, DynamoDB Lambda, S3, Eventbridge, AppSync, API Gateway and SQS Experience using Serverless stack to build and deploy serverless applications … into AWS cloud Exceptional communication skills within the team and across technical and non-technical stakeholders A passion for mentoring junior engineer, sharing knowledge, and cultivating a collaborative learning environment Flexible and adaptable problem-solving skills, capable of adjusting strategies in response to changing priorities and evolving business needs ...