16 of 16 Amazon S3 Jobs in the City of London

preferably python, PowerShell Database technologies preferably MS SQL Server, Postgres SQL Infrastructure as code – AWS Cloudformation/Terraform/Ansible/Chef AWS cloud native development using EC2, Lambda, S3, Simple Que Service etc. More ❯

preferably python, PowerShell Database technologies preferably MS SQL Server, Postgres SQL Infrastructure as code – AWS Cloudformation/Terraform/Ansible/Chef AWS cloud native development using EC2, Lambda, S3, Simple Que Service etc. More ❯

Skills & Qualifications: • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. • 10+ years of experience in data engineering. • Strong hands-on experience with AWS services: S3, Glue, Lake Formation, Athena, Redshift, Lambda, IAM, CloudWatch. • Proficiency in PySpark, Python, DBT, Airflow, Docker and SQL. • Deep understanding of data modeling techniques and best practices. • Experience with CI More ❯

Skills & Qualifications: • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. • 10+ years of experience in data engineering. • Strong hands-on experience with AWS services: S3, Glue, Lake Formation, Athena, Redshift, Lambda, IAM, CloudWatch. • Proficiency in PySpark, Python, DBT, Airflow, Docker and SQL. • Deep understanding of data modeling techniques and best practices. • Experience with CI More ❯

ll have the autonomy to make technical decisions and help shape how platform engineering is done as the team continues to scale. Tech stack AWS (Core services - EC2, RDS, S3, IAM, etc.) Configuration Management Ansible Monitoring and Observability Grafana, Prometheus Kubernetes (building and managing production clusters) Terraform (IaC provisioning) Python or Java (scripting, automation) GitHub Actions (CI/CD More ❯

You’ll have the autonomy to make technical decisions and help shape how platform engineering is done as the team continues to scale. Tech stack AWS (Core services - EC2, S3, IAM, etc.) Kubernetes (building and managing production clusters) Terraform (for full IaC provisioning) Python (scripting, automation) GitHub Actions (CI/CD pipelines) Docker & Helm (for containerised app deployments) What More ❯

ll have the autonomy to make technical decisions and help shape how platform engineering is done as the team continues to scale. Tech stack AWS (Core services - EC2, RDS, S3, IAM, etc.) Configuration Management Ansible Monitoring and Observability Grafana, Prometheus Kubernetes (building and managing production clusters) Terraform (IaC provisioning) GitHub Actions (CI/CD pipelines) What They’re Looking More ❯

in database technologies (SQL Server, Redshift, PostgreSQL, Oracle). Desirable Skills: Familiarity with machine learning pipelines and MLOps practices. Additional experience with Databricks and specific AWS such as Glue, S3, Lambda Proficient in Git, CI/CD pipelines, and DevOps tools (e.g., Azure DevOps) Hands-on experience with web scraping, REST API integrations, and streaming data pipelines. Knowledge of More ❯

in database technologies (SQL Server, Redshift, PostgreSQL, Oracle). Desirable Skills: Familiarity with machine learning pipelines and MLOps practices. Additional experience with Databricks and specific AWS such as Glue, S3, Lambda Proficient in Git, CI/CD pipelines, and DevOps tools (e.g., Azure DevOps) Hands-on experience with web scraping, REST API integrations, and streaming data pipelines. Knowledge of More ❯

is 95% remote with travel required once a month to the office. Key Skills and Responsibilities: Design, deliver, and support secure and scalable AWS infrastructure using services like EC2, S3, ECS, and FARGATE Integrate SAST (Static Application Security Testing) and DAST (Dynamic Application Security Testing) tools into CI/CD pipelines to enforce secure development practices Automate infrastructure provisioning More ❯

Jenkins, AWS CDK, CloudFormation, Terraform. MUST HAVE SNOWFLAKE, AWS Key Responsibilities: Design and implement scalable, secure, and cost-efficient data solutions on AWS, leveraging services such as Glue, Lambda, S3, Redshift, and Step Functions. Lead the development of robust data pipelines and analytics platforms, ensuring high availability, performance, and maintainability. Demonstrate proficiency in software engineering principles, contributing to the … data engineer with strong hands-on programming skills and software engineering fundamentals, with experience building scalable solutions in cloud environments (AWS preferred) Extensive experience in AWS services, e.g. EC2, S3, RDS, DynamoDB, Redshift, Lambda, API Gateway Solid foundation in software engineering principles, including version control (Git), testing, CI/CD, modular design, and clean code practices. Experience developing reusable More ❯

Good understanding of software engineering principles, REST APIs, and asynchronous programming Experience with modern frontend development, ideally withReact Nice to Have: Experience withNestJS Cloud experience withAWSservices (Lambda, API Gateway, S3, etc.) Exposure to payments or fintech environments This role is 3 days on site in central London and offers a quick 2 - 3 stage interview process with interview slots More ❯

improvement. Participate in sprint planning, technical design sessions, and architectural reviews. Required Skills & Experience Strong proficiency in React. Deep experience with AWS services such as Lambda, API Gateway, DynamoDB, S3, and CloudFormation. Solid understanding of TypeScript, Node.js, and RESTful API design. Familiarity with DevOps practices and tools (e.g., GitHub Actions, Terraform, CloudWatch). Experience working in Agile environments and More ❯

data lifecycle management, from data creation to governance Deep expertise in AWS cloud, event-driven architecture, and streaming technologies like Kafka Familiarity with data tooling such as Snowflake, Databricks, S3, and broader ecosystem awareness Strong grasp of architectural frameworks (e.g., TOGAF) and enterprise design principles Confident communicator with the ability to engage exec-level audiences and cross-functional stakeholders More ❯

data lifecycle management, from data creation to governance Deep expertise in AWS cloud, event-driven architecture, and streaming technologies like Kafka Familiarity with data tooling such as Snowflake, Databricks, S3, and broader ecosystem awareness Strong grasp of architectural frameworks (e.g., TOGAF) and enterprise design principles Confident communicator with the ability to engage exec-level audiences and cross-functional stakeholders More ❯

ingestion processes from APIs and internal systems, leveraging tools such as Kafka, Spark, or AWS-native services. Cloud Data Platforms - Develop and maintain data lakes and warehouses (e.g., AWS S3, Redshift). Data Quality & Governance - Implement automated validation, testing, and monitoring for data integrity. Performance & Troubleshooting - Monitor workflows, enhance logging/alerting, and fine-tune performance. Data Modelling - Handle … IAM), and GDPR-aligned data practices. Technical Skills & Experience Proficient in Python and SQL for data processing. Solid experience with Apache Airflow - writing and configuring DAGs. Strong AWS skills (S3, Redshift, etc.). Big data experience with Apache Spark. Knowledge of data modelling, schema design, and partitioning. Understanding of batch and streaming data architectures (e.g., Kafka). Experience with More ❯