systems — understanding of data pipelines, warehousing, or BI tools is a plus. Hands-on experience with cloud-native architectures, preferably AWS (EC2, RDS, Lambda, S3, etc.). Comfortable leading architectural reviews, producing technical documentation, and mentoring dev teams on best practices. If you’re passionate about backend architecture, data More ❯
systems — understanding of data pipelines, warehousing, or BI tools is a plus. Hands-on experience with cloud-native architectures, preferably AWS (EC2, RDS, Lambda, S3, etc.). Comfortable leading architectural reviews, producing technical documentation, and mentoring dev teams on best practices. If you’re passionate about backend architecture, data More ❯
systems — understanding of data pipelines, warehousing, or BI tools is a plus. Hands-on experience with cloud-native architectures, preferably AWS (EC2, RDS, Lambda, S3, etc.). Comfortable leading architectural reviews, producing technical documentation, and mentoring dev teams on best practices. If you’re passionate about backend architecture, data More ❯
systems — understanding of data pipelines, warehousing, or BI tools is a plus. Hands-on experience with cloud-native architectures, preferably AWS (EC2, RDS, Lambda, S3, etc.). Comfortable leading architectural reviews, producing technical documentation, and mentoring dev teams on best practices. If you’re passionate about backend architecture, data More ❯
systems — understanding of data pipelines, warehousing, or BI tools is a plus. Hands-on experience with cloud-native architectures, preferably AWS (EC2, RDS, Lambda, S3, etc.). Comfortable leading architectural reviews, producing technical documentation, and mentoring dev teams on best practices. If you’re passionate about backend architecture, data More ❯
systems — understanding of data pipelines, warehousing, or BI tools is a plus. Hands-on experience with cloud-native architectures, preferably AWS (EC2, RDS, Lambda, S3, etc.). Comfortable leading architectural reviews, producing technical documentation, and mentoring dev teams on best practices. If you’re passionate about backend architecture, data More ❯
systems — understanding of data pipelines, warehousing, or BI tools is a plus. Hands-on experience with cloud-native architectures, preferably AWS (EC2, RDS, Lambda, S3, etc.). Comfortable leading architectural reviews, producing technical documentation, and mentoring dev teams on best practices. If you’re passionate about backend architecture, data More ❯
Successful 3+ years of experience building and operating cloud infrastructure in high-availability environments. Strong AWS knowledge across core services: VPC, ALB, EKS, EC2, S3, Lambda, Route53, RDS, ElastiCache, SNS/SQS, etc. Terraform expertise for infrastructure provisioning. Practical experience with Kubernetes (ideally EKS), including workload tuning, autoscaling, and More ❯
London, England, United Kingdom Hybrid / WFH Options
P&I Insurance Services
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 More ❯
systems — understanding of data pipelines, warehousing, or BI tools is a plus. Hands-on experience with cloud-native architectures, preferably AWS (EC2, RDS, Lambda, S3, etc.). Comfortable leading architectural reviews, producing technical documentation, and mentoring dev teams on best practices. If you’re passionate about backend architecture, data More ❯
datasets and a solid understanding of data lake architecture and data warehousing Preferred qualifications, capabilities, and skills Experience with AWS cloud services (e.g. EC2, S3, IAM, Cloudwatch) Experience with Infrastructure as code (e.g. Terraform) Experience working in Agile/Scrum teams More ❯
datasets and a solid understanding of data lake architecture and data warehousing Preferred qualifications, capabilities, and skills Experience with AWS cloud services (e.g. EC2, S3, IAM, Cloudwatch) Experience with Infrastructure as code (e.g. Terraform) Experience working in Agile/Scrum teams #J-18808-Ljbffr More ❯
designing and maintaining MongoDB databases. Experience with Docker for containerization and deployment of microservices. Knowledge and experience with the core AWS services (ECS, EC2, S3, SQS). Proficient in using Git for version control. Detail-oriented with strong analytical thinking and problem-solving abilities, with the capability to work More ❯
Successful 3+ years of experience building and operating cloud infrastructure in high-availability environments Strong AWS knowledge across core services: VPC, ALB, EKS, EC2, S3, Lambda, Route53, RDS, ElastiCache, SNS/SQS, etc. Experience working with Serverless technologies like Fastly Compute, AWS Lambda and/or Cloudflare Workers Terraform More ❯
London, England, United Kingdom Hybrid / WFH Options
Feedinkoo
designing and maintaining MongoDB databases. Experience with Docker for containerization and deployment of microservices. Knowledge and experience with the core AWS services (ECS, EC2, S3, SQS). Proficient in using Git for version control. Detail-oriented with strong analytical thinking and problem-solving abilities, with the capability to work More ❯
across primary, secondary, and tertiary sources. Cloud, Infrastructure, and Platform Engineering: Develop and deploy data workflows on AWS or GCP , using services such as S3, Redshift, Pub/Sub, or BigQuery. Containerize data processing tasks using Docker , orchestrate with Kubernetes , and ensure production-grade deployment. Collaborate with platform teams More ❯
across primary, secondary, and tertiary sources. Cloud, Infrastructure, and Platform Engineering: Develop and deploy data workflows on AWS or GCP , using services such as S3, Redshift, Pub/Sub, or BigQuery. Containerize data processing tasks using Docker , orchestrate with Kubernetes , and ensure production-grade deployment. Collaborate with platform teams More ❯
across primary, secondary, and tertiary sources. Cloud, Infrastructure, and Platform Engineering: Develop and deploy data workflows on AWS or GCP , using services such as S3, Redshift, Pub/Sub, or BigQuery. Containerize data processing tasks using Docker , orchestrate with Kubernetes , and ensure production-grade deployment. Collaborate with platform teams More ❯
designing and maintaining MongoDB databases. Experience with Docker for containerization and deployment of microservices. Knowledge and experience with the core AWS services (ECS, EC2, S3, SQS). Proficient in using Git for version control. Detail-oriented with strong analytical thinking and problem-solving abilities, with the capability to work More ❯
london (city of london), south east england, united kingdom
AI71
across primary, secondary, and tertiary sources. Cloud, Infrastructure, and Platform Engineering: Develop and deploy data workflows on AWS or GCP , using services such as S3, Redshift, Pub/Sub, or BigQuery. Containerize data processing tasks using Docker , orchestrate with Kubernetes , and ensure production-grade deployment. Collaborate with platform teams More ❯
across primary, secondary, and tertiary sources. Cloud, Infrastructure, and Platform Engineering: Develop and deploy data workflows on AWS or GCP , using services such as S3, Redshift, Pub/Sub, or BigQuery. Containerize data processing tasks using Docker , orchestrate with Kubernetes , and ensure production-grade deployment. Collaborate with platform teams More ❯
across primary, secondary, and tertiary sources. Cloud, Infrastructure, and Platform Engineering: Develop and deploy data workflows on AWS or GCP , using services such as S3, Redshift, Pub/Sub, or BigQuery. Containerize data processing tasks using Docker , orchestrate with Kubernetes , and ensure production-grade deployment. Collaborate with platform teams More ❯
across primary, secondary, and tertiary sources. Cloud, Infrastructure, and Platform Engineering: Develop and deploy data workflows on AWS or GCP , using services such as S3, Redshift, Pub/Sub, or BigQuery. Containerize data processing tasks using Docker , orchestrate with Kubernetes , and ensure production-grade deployment. Collaborate with platform teams More ❯
across primary, secondary, and tertiary sources. Cloud, Infrastructure, and Platform Engineering: Develop and deploy data workflows on AWS or GCP , using services such as S3, Redshift, Pub/Sub, or BigQuery. Containerize data processing tasks using Docker , orchestrate with Kubernetes , and ensure production-grade deployment. Collaborate with platform teams More ❯
across primary, secondary, and tertiary sources. Cloud, Infrastructure, and Platform Engineering: Develop and deploy data workflows on AWS or GCP , using services such as S3, Redshift, Pub/Sub, or BigQuery. Containerize data processing tasks using Docker , orchestrate with Kubernetes , and ensure production-grade deployment. Collaborate with platform teams More ❯
