176 to 200 of 387 Amazon S3 Jobs in the UK

as-code tools to build robust data pipelines and applications that process complex datasets from multiple operational systems.Key Responsibilities: Build and maintain AWS-based ETL/ELT pipelines using S3, Glue (PySpark/Python), Lambda, Athena, Redshift, and Step Functions Develop backend applications to automate and support compliance reporting Process and validate complex data formats including nested JSON, XML More ❯

code tools to build robust data pipelines and applications that process complex datasets from multiple operational systems. Key Responsibilities: Build and maintain AWS-based ETL/ELT pipelines using S3, Glue (PySpark/Python), Lambda, Athena, Redshift, and Step Functions Develop backend applications to automate and support compliance reporting Process and validate complex data formats including nested JSON, XML More ❯

services as required Essential Requirements 3+ years consulting/managed services experience Solid Data Lake experience with AWS data solutions (Redshift, Glue, Athena, Lake Formation) Advanced AWS skills (EC2, S3, VPC, IAM, Lambda) Infrastructure as Code experience (CloudFormation/Terraform) AWS Solutions Architect Associate certification Strong communication and presentation abilities Desirable Skills Azure fundamentals knowledge FinOps and cost management More ❯

Data Vault 2.0 Experience with real-time/streaming data solutions Proficiency in Python, SQL, and data modelling tools (e.g. Erwin, Lucidchart) Strong knowledge of AWS services (Lambda, SNS, S3, EKS, API Gateway) Familiarity with Snowflake, Spark, Airflow, DBT, and data governance frameworks Preferred: Certifications in cloud/data technologies Experience with API/interface modelling and CI/ More ❯

engineering principles, REST APIs, and asynchronous programming Experience with modern frontend development, ideally with React Nice to Have: Experience with NestJS Cloud experience with AWS services (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 ❯

with AI and predictive modeling experts to create impactful applications to positively impact the lives of millions of people Drive innovation using Python, FastAPI and AWS infrastructure tools (EC2, S3, RDS, Lambda, etc.), SQL/NoSQL What We're Looking For: Experience working with autonomy and taking the lead of back end development Experience improving the scalability and performance More ❯

data engineers and support their growth. Implement best practices for data security and compliance. Collaborate with stakeholders and external partners. Skills & Experience: Strong experience with AWS data technologies (e.g., S3, Redshift, Lambda). Proficient in Python, Apache Spark, and SQL. Experience in data warehouse design and data migration projects. Cloud data platform development and deployment. Expertise across data warehouse More ❯

for this role Minimum Qualifications Production Experience in operationalizing large scale distributed, fault-tolerant, multi-tenant services Experience in presenting with AWS Services, including but not limited to: EC2, S3, EKS, DynamoDB, EBS, Cloud formation, Lambda, VPC, Route 53 Experience operating in core SDLC CI/CD processes, along with SRE concepts - Monitoring, Alerting, Incident management. Worked within DevOps More ❯

deployment - Ansible Automation Platform Experience with Monitoring and observability - Prometheus/Grafana/Cloudwatch Experience of AWS Cloud based services Configuration and deployment of common AWS services, VPC, EC2, S3, NLB AWS automation - Terraform, CDK Shell scripting, specifically Bash and Perl Strong stakeholder management Keen collaborator The above is not exhaustive. For further information on this opportunity please forward More ❯

CD, infrastructure-as-code, and modern data tooling Introduce and advocate for scalable, efficient data processes and platform enhancements Tech Environment: Python, SQL, Spark, Airflow, dbt, Snowflake, Postgres AWS (S3), Docker, Terraform Exposure to Apache Iceberg, streaming tools (Kafka, Kinesis), and ML pipelines is a bonus What We're Looking For: 5+ years in Data Engineering, including 2+ years More ❯

Deep knowledge of Linux server administration Skilled in log analysis using tools like Splunk or ELK stack Hands-on with tools and platforms such as: Apache NiFi, MinIO, AWS S3 Java & Python applications (deployment, patching, support) Containerisation and deployment technologies such as Docker, Podman, Kubernetes, OpenShift Excellent analytical, troubleshooting, and prioritisation skills Security Clearance You are required to hold More ❯

with modern data modelling tools (e.g., Erwin, Lucidchart, SAP PowerDesigner) Skilled in Python and SQL across platforms like Snowflake, real-time systems, or similar Strong exposure to AWS (Lambda, S3, EKS, SNS, API Gateway) Understanding of real-time and analytical data pipelines, metadata, and cataloguing (e.g., Atlan) Strong communication, stakeholder management, and documentation skills Preferred (but not essential): AWS More ❯

RESTful architecture Proven ability to mentor and uplift teammates technically Excellent problem-solving skills and the ability to work independently Bonus Experience Knowledge of AWS services (e.g., EC2, RDS, S3) Familiar with Docker/containerisation and orchestration Experience with test automation (PHPUnit, Pest) Understanding of microservices or event-driven architectures The Perks Flexible working: remote-first with optional hybrid More ❯

the ability to purchase more Share options Private health insurance What's required to be successful in this role? Proven experience with AWS cloud services and architecture design, specifically S3 and EC2 Strong hands-on skills in Infrastructure-as-Code, especially with Terraform. Experience with Ansible for configuration management. Solid understanding of Linux systems - specifically Ubuntu Knowledge of containerisation More ❯

HTML, XML, SQL, Bash. Experience with build tools like Maven and Gradle. Knowledge of relational DBMS such as Postgres. Experience using AWS services via Terraform (Secrets Manager, Kinesis Firehose, S3, Open Search, etc.). Familiarity with monitoring tools like New Relic and Kibana for metrics and alerts. Experience with Docker, containers, Helm, Kustomize, and Kubernetes management tools. Knowledge of More ❯

a focus on building scalable data solutions. Experience with data pipeline orchestration tools such as Dagster or similar. Familiarity with cloud platforms (e.g. AWS) and their data services (e.g., S3, Redshift, Snowflake). Understanding of data warehousing concepts and experience with modern warehousing solutions. Experience with GitHub Actions (or similar) and implementing CI/CD pipelines for data workflows More ❯

Server, MongoDB, DB2 Integration: Enterprise Integration Patterns, Apache Camel DevOps: Gitlab CI/CD, Ansible, Observability/Telemetry Unix: bash scripting, system and process monitoring Cloud: Experience with AWS, S3 Web: HTML5 frameworks: React, Redux, SSE/Websockets, CSSBootstrap Career Growth and Learning Opportunities Great opportunity to be at the intersection of business and technology. Gaining in-depth knowledge More ❯

. Experience and Skills Your background: 2+ years of experience with Java or Scala, or equivalent experience gained through academic studies or related programming work. AWS cloud experience, including S3, EFS, MSK, ECS, and EMR. Experience with RDBMS. Experience with Jenkins CI/CD pipeline. Bachelor's degree in a technical discipline. Plus: Knowledge of Hadoop/Spark and More ❯

including Spring Boot. Fluent in writing JAVA coding. Experience with Kafka or a similar platform. Experience with Scala and Spark. Integrating with backing services, such as PostgreSQL, Redis or S3 Good engineering practices including continuous delivery, clean code, documentation, defensive programming, automated testing and code reviews Working in Agile development and/or DevOps teams Using GitHub/GitLab More ❯

direction, and collaborate effectively across business and technology functions 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 ❯

Snr. Systems Development Engineer, ESC Managed Operations Job ID: Amazon Development Centre Ireland Limited AWS is set to introduce the inaugural European Sovereign Cloud (ESC), marking a significant development in utility computing (UC). To spearhead this initiative, we are actively seeking experienced systems development engineers with a strong background in automation and operations. As part … of the AWS Managed Operations team, you will play a pivotal role in building and leading operations and development teams dedicated to delivering high-availability AWS services, including EC2, S3, Dynamo, Lambda, and Bedrock, exclusively for EU customers. For more information on ESC please check out our blog: Utility Computing (UC) AWS Utility Computing (UC) provides product innovations - from … foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of More ❯

scalable, and efficient data infrastructure. What you'll be doing - your accountabilities Lead the design and implementation of robust, scalable, and secure data solutions using AWS services such as S3, Glue, Lambda, Redshift, EMR, Kinesis, and more-covering data pipelines, warehousing, and lakehouse architectures. Drive the migration of legacy data workflows to Lakehouse architectures, leveraging Apache Iceberg to enable More ❯

systems. Typical responsibilities will include: Supporting and managing RedHat Linux systems (v6 & v7) Automating via Shell scripting in Linux/UNIX environments Working with AWS services such as EC2, S3, and CloudWatch Managing infrastructure using tools like Kubernetes and Terraform Administering storage (LVM, RAID) and working with Dell server hardware (BIOS, iDRACs, cabling) WHAT YOU NEED TO HAVE To More ❯

on development experience in at least one enterprise analytics database like Oracle/Terradata/SQL Server/Snowflake Understanding of AWS cloud and fundamental services like IAM, Lambda, S3 etc. Experience of liaising with both in-house and third party development teams, across different geographical sites Skilled at writing and understand Python code especially those using AWS boto3 More ❯

on development experience in at least one enterprise analytics database like Oracle/Terradata/SQL Server/Snowflake Understanding of AWS cloud and fundamental services like IAM, Lambda, S3 etc. Experience of liaising with both in-house and third party development teams, across different geographical sites Skilled at writing and understand Python code especially those using AWS boto3 More ❯