12 of 12 Remote Amazon Kinesis Jobs in the UK

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 and stakeholders. You’ll be using your technical skills to problem solve More ❯

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 and stakeholders. You’ll be using your technical skills to problem solve More ❯

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 and stakeholders. You’ll be using your technical skills to problem solve More ❯

Python, Scala or Java, with strong experience in Big Data technologies such as: Spark, Hadoop etc. Practical knowledge of building Real Time event streaming pipelines (eg, Kafka, Spark Streaming, Kinesis). Proven experience developing modern data architectures including Data Lakehouse and Data Warehousing. A solid understanding of CI/CD practices, DevOps tooling, and data governance including GDPR. Bonus More ❯

Start date: Within 1-3 weeks of offer Tech Stack: AWS: EKS/ECS, EC2, ALB/NLB, API Gateway, Lambda, S3/CloudFront, DynamoDB, ElastiCache, Aurora, MSK/Kinesis, OpenSearch, Route53, WAF/Shield, CloudWatch, X-Ray, IAM, KMS, Secrets Manager IaC & CI/CD: Terraform, CloudFormation, Helm, Argo CD, Flux, GitHub Actions, Jenkins, GitLab CI, Docker Observability More ❯

or Senior Data Engineer in a cloud environment (preferably AWS). Expertise in data modelling (Dimensional, Data Vault, Enterprise). Strong knowledge of AWS data services (S3, Redshift, Glue, Kinesis, Lambda, etc.). Experience in Data Strategy and Data Governance Strong communication and stakeholder management skills. The Nice-to-Haves (bonus points if you have these!): Experience with Monte More ❯

Java development. This is a remote position, UK. Skills needed: Previous working experience as a Technical Architect Experience producing LLDs Java and/or .net background Kafka/AWS Kinesis AWS, s3, Lambda Contract Details: Length: 4 Months initially Day Rate: £500 IR35: Outside Start Date: ASAP Please click here to find out more about our Key Information Documents. More ❯

Java development. This is a remote position, UK. Skills needed: Previous working experience as a Technical Architect Experience producing LLDs Java and/or .net background Kafka/AWS Kinesis AWS, s3, Lambda Contract Details: Length: 4 Months initially Day Rate: £500 IR35: Outside Start Date: ASAP Please click here to find out more about our Key Information Documents. More ❯

Senior Java Microservices AWS Developer, you will be responsible for the design and development of web applications using Java and AWS Serverless Architecture (Lambda, DynamoDB, ECS Fargate, SQS, SNS, Kinesis, CloudWatch, CloudFormation, IAM, CodeBuild, Security Groups, API Gateway, ALBs, KMS, Secrets Manager, Parameter Store, and S3). Key Responsibilities Design and develop web applications using Java and AWS technologies. … with Spring Boot (Core Spring) and JUnit. Good understanding of message-based architectures (MQ/Kafka). Proven proficiency in AWS Serverless Architecture (Lambda, DynamoDB, ECS Fargate, SQS, SNS, Kinesis, CloudWatch, CloudFormation, IAM, CodeBuild, Security Groups, API Gateway, ALBs, KMS, Secrets Manager, Parameter Store, and S3). Experience with RDBMS such as Sybase and/or DB2, including writing More ❯

Senior Java Microservices AWS Developer, you will be responsible for the design and development of web applications using Java and AWS Serverless Architecture (Lambda, DynamoDB, ECS Fargate, SQS, SNS, Kinesis, CloudWatch, CloudFormation, IAM, CodeBuild, Security Groups, API Gateway, ALBs, KMS, Secrets Manager, Parameter Store, and S3). Key Responsibilities Design and develop web applications using Java and AWS technologies. … with Spring Boot (Core Spring) and JUnit. Good understanding of message-based architectures (MQ/Kafka). Proven proficiency in AWS Serverless Architecture (Lambda, DynamoDB, ECS Fargate, SQS, SNS, Kinesis, CloudWatch, CloudFormation, IAM, CodeBuild, Security Groups, API Gateway, ALBs, KMS, Secrets Manager, Parameter Store, and S3). Experience with RDBMS such as Sybase and/or DB2, including writing More ❯

Contract Role – Data AWS Engineer – Northampton/Hybrid – 6 months – Inside IR35 7+ years of experienced in designing, building, and maintaining data pipelines and architectures on the Amazon Web Services (AWS) cloud platform. Skilled in scalable, reliable, and efficient data solutions, often using AWS services like S3, Redshift, EMR, Glue, and Kinesis. This involves designing ETL processes, ensuring data … date with the latest AWS services and technologies to improve data engineering solutions. Key Skills: AWS Services: Strong understanding and experience with AWS services like S3 , Redshift, EMR, Glue , Kinesis, and Lambda. Programming Languages: Proficiency in programming languages like Python or Java, used for designing and building data pipelines. SQL: Knowledge of SQL for querying and manipulating data in More ❯

governance across AWS and Snowflake platforms. Lead the design of data lakes, data warehouses, and real-time data pipelines using AWS-native tools such as Glue, Redshift, S3, Lambda, Kinesis, and Athena. Project Leadership & Delivery Manage and deliver complex data architecture projects, providing technical leadership to cross-functional teams. Collaborate with business stakeholders, data engineers, and analysts to understand … experience in data architecture, including at least 3 years in a cloud-native environment. Proven expertise with AWS cloud services , including but not limited to: S3, Glue, Redshift, Lambda, Kinesis, Athena, Lake Formation. Strong hands-on experience with Snowflake - architecture, performance tuning, security, and data sharing features. Proficient in data modelling, data integration (ETL/ELT), and metadata management. More ❯