16 of 16 Amazon S3 Jobs in the City of London

microservices-based systems . Strong understanding of architectural patterns like CQRS , Event Sourcing , SAGA , and Domain-Driven Design (DDD) . Extensive experience with AWS cloud ecosystem – services like EC2, S3, Lambda, SNS/SQS, API Gateway, RDS/DynamoDB, CloudFormation, etc. Familiarity with containerization and orchestration (Docker, Kubernetes, ECS/EKS). Strong system design and problem-solving skills. More ❯

Mentoring junior engineers and contributing to a strong engineering culture Working with a modern, cloud-native stack Tech Stack Languages: JavaScript, Node.js Databases: SQL, PostgreSQL, BigQuery Cloud: AWS (Lambda, S3, Kinesis, RDS, Step Functions, AppFlow) DevOps: Serverless, Heroku, GitHub, CircleCI Monitoring: Graphite, Grafana, Splunk Bonus: Experience in marketing tech or AI What We're Looking For Strong full stack More ❯

technical discipline Proven experience as a data engineer with a strong focus on Snowflake and AWS services in large-scale enterprise environments Extensive experience in AWS services, e.g. EC2, S3, RDS, DynamoDB, Redshift, Lambda, API Gateway Strong SQL skills for complex data queries and transformations Python programming for data processing and analysis is a plus Strong acumen for application More ❯

consulting experience — either from a Big 4, boutique consultancy, or transformation-focused delivery team . Hands-on experience with AWS security, networking, and core platform services (IAM, VPC, EC2, S3, Lambda, etc.). Familiarity with Infrastructure as Code (Terraform, CloudFormation) and DevOps tooling (Git, CI/CD, etc.). Excellent communication and stakeholder management skills — confident engaging with both More ❯

and scripts using Python to enhance operational efficiency and reduce manual intervention. Experience deploying, managing, and optimizing infrastructure on AWS Cloud, including familiarity with AWS services such as EC2, S3, Lambda, and RD Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications More ❯

and management of errors in Go hands on expereince of Packages & Moduldes plus Go Testing Packages Understanding of Restful APIs, Microservices and distributed system AWS Expereince using EC2, Lamda, S3 EBS, RDS/Dyanamo DB and IAM/KMS Understanding GitLab CI/CD , Git Merging, Rebasing & Conflit Reolution Expereince in Containerization (Docker images) and understanding of Container lifecycle More ❯

design and maintenance of their back-end systems. Please apply if you have of the following: *** Amazon Web Services AWS (certifications desirable but not essential) - EC2, Autoscaling, S3, Cloudwatch, Route 53 *** Linux Ubuntu, bash *** Docker/Terraform *** Chef/Puppet, Jenkins, Ansilbe *** Networking skills TCP/IP, HTTP, SSL, *** Scripting experience ***Experience working with Agile methodologies Apply More ❯

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 resources. . Handle IAM roles, credential management, and secure service integrations. 3. LDAP, Vault, JIRA/Confluence, Kubernetes More ❯

/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 More ❯

and integrate agentic capabilities using frameworks such as LangChain, CrewAI, AutoGen, and DSPy. AWS Cloud & MLOps: Deploy scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS. End-to-End AI Product Development : Work across the full ML lifecycle, from data collection and preprocessing to model evaluation, deployment, and monitoring. Full-Stack More ❯

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. • Own technical responses for RFI/RFP processes, partnering with More ❯

tooling. It suits someone who thrives in greenfield environments, enjoys client engagement, and values clean, scalable, well-documented engineering. Key Responsibilities: Design and build robust data pipelines using AWS (S3, Redshift, Glue, Lambda, Step Functions, DynamoDB). Deliver ETL/ELT solutions with Matillion and related tooling. Work closely with client teams to define requirements and hand over production … ready solutions. Own infrastructure and deployment via CI/CD and IaC best practices. Contribute to technical strategy and mentor junior engineers. Requirements: Strong hands-on AWS experience – S3, Redshift, Glue essential. Proven experience building ETL/ELT pipelines in cloud environments. Proficient in working with structured/unstructured data (JSON, XML, CSV, Parquet). Skilled in working with More ❯

Job Description AWS Stack, data being landed in S3, Lambda triggers, Data Quality, data written back out to AWS S3(Parquet Formats), Snowflake for dimensional model. Design and build the data pipelines, work with someone around understanding data transformation, this is supported by BA's, building out the data pipelines, moving into layers in the data architecture (Medallion … architecture). Requirements 5 plus year's experience with AWS 5-8 years overall exposure to Data Technical Lead experience Proficient in Snowflake, S3, Lambda Triggers Hybrid London 1-2 days a week £(Apply online only) (Outside IR35) The reason they're hiring now, they have a client that is all on a legacy system, on-prem platform, and More ❯

within a modern, cloud-based BI ecosystem , including: Data Integration: Fivetran , HVR, Databricks , Apache Kafka, Google BigQuery , Google Analytics 4 Data Lake & Storage: Databricks Delta Lake, Amazon S3 Data Transformation: dbt Cloud Data Warehouse: Snowflake Analytics & Reporting: Power BI, Excel, Snowflake SQL REST API Advanced Analytics: Databricks (AI & Machine Learning) Governance & Infrastructure: Centralised Data Catalogue & Access Control More ❯

stack consists of: Websites built using Next.js and Node.js Headless CMS using Drupal APIs written in PHP Hosting using Heroku Apps written in React Native AWS for other services – S3, WAF, Cloudfront, RDS, EC2, Route53 You Have These: Interest in the Arts Strong leadership and influencing skills across all areas of a business Strong communicator who is clear and More ❯

management skills, able to upskill a small team and help them transition to more technical work. Strong technical skills in Python, SQL and tools such as dbt, Snowflake, AWS S3, KDB and SQL Server. Solid understanding of financial instruments such as Equities, Futures, Forwards, CDS, IRS and ETFs with deep knowledge in at least one asset class. Familiarity with More ❯