1 to 25 of 31 Amazon Kinesis Jobs in the UK excluding London

Strong problem-solving skills, with an ability to work both independently and collaboratively within multi-disciplinary teams Desirable Skills for the AWS Data Engineer: Experience with Databricks , Kafka , or Kinesis for real-time data streaming Knowledge of containerisation (Docker, ECS) and modern orchestration tools such as Airflow Familiarity with machine learning model deployment pipelines or data lakehouse architectures Data More ❯

governance, security, and compliance. Ability to lead technical projects and mentor junior engineers. Excellent problem-solving skills and experience in agile environments. Desirable: Experience with streaming data (Kafka/Kinesis), Docker/Kubernetes, Terraform, CI/CD pipelines, NoSQL databases, and metadata management tools. Company Benefits: Enhanced Parental Leave Generous annual leave Healthcare Plan Annual Giving Day - an extra More ❯

governance, security, and compliance. Ability to lead technical projects and mentor junior engineers. Excellent problem-solving skills and experience in agile environments. Desirable: Experience with streaming data (Kafka/Kinesis), Docker/Kubernetes, Terraform, CI/CD pipelines, NoSQL databases, and metadata management tools. Company Benefits: Enhanced Parental Leave Generous annual leave Healthcare Plan Annual Giving Day - an extra More ❯

Desirable Skills for the Senior Data Engineer: Experience with event sourcing, dbt, or related data transformation tools Familiarity with PostgreSQL and cloud-native data services (Azure Event Hub, Redshift, Kinesis, S3, Blob Storage, OneLake, or Microsoft Fabric) Understanding of machine learning model enablement and operationalisation within data architectures Experience working within Agile delivery environments If you are an experienced More ❯

experience in query tuning and performance optimisation. Programming Proficiency: Proficiency in Python and Bash (for data processing, scripting, and automation). Data Streaming: Familiarity with streaming data technologies (e.g., Kinesis, Kafka, or similar). DevOps Principles: Experience with version control (git) and CI/CD for data pipelines. BI/Visualisation: Familiarity with BI and visualisation tools such as More ❯

You'll have the following skills and experience: Experience with modern frameworks across the stack (FastAPI, Gin, Express, etc.) Experience building modern data pipelines using dbt, Kafka, Spark, AWS Kinesis, AWS Lambda, and Apache Airflow (or similar); Experience working with data lakes; experience with Spark or Databrick; Comprehensive testing experience (unit, integration, e2e, security) and performance optimization Scalable system More ❯

Understanding of data governance, security, and compliance best practices. Strong problem-solving skills and experience working in agile environments. Desirable: Experience with Docker/Kubernetes, streaming data (Kafka/Kinesis), Terraform, CI/CD pipelines, and NoSQL databases. Company Benefits: Enhanced Parental Leave Generous annual leave Healthcare Plan Annual Giving Day - an extra day to give back to yourself More ❯

Understanding of data governance, security, and compliance best practices. Strong problem-solving skills and experience working in agile environments. Desirable: Experience with Docker/Kubernetes, streaming data (Kafka/Kinesis), Terraform, CI/CD pipelines, and NoSQL databases. Company Benefits: Enhanced Parental Leave Generous annual leave Healthcare Plan Annual Giving Day - an extra day to give back to yourself More ❯

Strong understanding of data warehousing, modelling, and transformation. Experience with cloud platforms (AWS preferred). Exposure to Snowflake, or willingness to learn. Familiarity with real-time data processing (Kafka, Kinesis, or similar). Strong communication skills with the ability to challenge, propose, and influence. A proactive mindset, excellent critical thinking, and a collaborative approach to solving complex problems. Bonus More ❯

a backend developer to work on the following tech stack: NodeJS/Typescript/Mocha/Sinon/Terraform/Git/Gitlab CICD/Docker AWS (ECS, EC2, Kinesis, Firehose, RDS, Lambda, S3, DynamoDB, SQS, SNS) Databases – Postgres/MySQL As a Senior Developer my client is looking for strong critical thinker with excellent problem-solving skills. Someone More ❯

tools (Airflow, dbt, Dagster, or Prefect). Solid understanding of cloud data platforms (AWS, GCP, or Azure) and data warehousing (Snowflake, BigQuery, Redshift). Experience with streaming technologies (Kafka, Kinesis, or similar). Strong knowledge of data modelling, governance, and architecture best practices . Excellent leadership, communication, and stakeholder management skills. NICE TO HAVE: Background in data management, engineering More ❯

technical direction. AWS | Node | Data Pipelines | Typescript Requirements 4+ years’ experience as a Software Engineer within a SaaS, PaaS, or data-intensive environment Strong experience with AWS cloud technologies (Kinesis, Glue, S3, RDS, Lambda) Node.js or TypeScript for backend development Understanding of ETL , data ingestion , and storage best practices Experience with relational and non-relational databases (PostgreSQL, DynamoDB, MongoDB More ❯

Overview The team currently uses Kubernetes (EKS) and AWS. AWS technologies include: CloudFormation using Python Lambda DynamoDB Kinesis Data Streams S3 CloudFront CloudTrail CloudWatch Athena Grafana Prometheus CI/CD Processes GitLab is used for CI/CD processes with a strong emphasis on security. Supported Development Technologies The platform team will be initially supporting teams that develop applications More ❯

dashboards via the Data Marketplace, with advanced modelling and machine learning as internal capacity and capability allow. What will you do? - Develop and optimise ETL pipelines using AWS Glue, Kinesis, and Step Functions - Manage and enhance data lakes with S3, Athena, and Lake Formation- Implement robust data quality processes using Glue Data Quality - Design event-driven architectures with EventBridge More ❯

dashboards via the Data Marketplace, with advanced modelling and machine learning as internal capacity and capability allow. What will you do? - Develop and optimise ETL pipelines using AWS Glue, Kinesis, and Step Functions - Manage and enhance data lakes with S3, Athena, and Lake Formation - Implement robust data quality processes using Glue Data Quality - Design event-driven architectures with EventBridge More ❯

and Go Preferred Qualifications: Proven ability to work on high and low-level designing Experience with Cloud Solution designs and setup for AWS, GCP and Azure Excellent understanding of Amazon Kinesis Data Streams Advanced Experience with RHEL Linux OS Commands Advanced Experience with Go & Python Scripting/Programming Soft Skills: Proven good communications skills Proven good problem-solving More ❯

master data management . Track record of delivering data analytics and AI/ML-enabling solutions across complex environments. Hands-on experience with cloud data platforms , ideally AWS (S3, Kinesis, Glue, Redshift, Lambda, EMR). Experience with Azure technologies (ADF, Synapse, Fabric, Azure Functions) is also valued. Strong understanding of modern data lakehouse architectures , such as Databricks , Snowflake , or More ❯

they're looking for... Strong experience within AWS & AWS services within networking and security Proficient within Terraform, CloudFormation or Ansible Observability tools like Cloud Watch, CloudTrail, OpenSearch Grafana/Kinesis Have a background within core infrastructure services like networking, security, patching and has transitioned to a Platform/Cloud focused Engineer vs DevOps/Development focused (Strongly needed) Ideally More ❯

they're looking for... Strong experience within AWS & AWS services within networking and security Proficient within Terraform, CloudFormation or Ansible Observability tools like Cloud Watch, CloudTrail, OpenSearch Grafana/Kinesis Have a background within core infrastructure services like networking, security, patching and has transitioned to a Platform/Cloud focused Engineer vs DevOps/Development focused (Strongly needed) Ideally More ❯

transformation, migration, and master data management. Experience in developing data analytics and AI-driven solutions. Skilled in designing and automating data quality metrics and KPIs. Proficient with AWS (S3, Kinesis, Glue, Redshift, Lambda, EMR) and/or Azure (ADF, Synapse, Fabric, Functions). To be Considered.... Please either apply by clicking online or emailing me directly to henry.clay-davies More ❯

end language backgrounds if they can learn Java quickly. Demonstrated experience tuning and optimising performance on the JVM. Familiarity with AWS and event-driven or streaming architectures (e.g., Kafka, Kinesis). Experience with financial systems, exchange connectivity, or distributed high-throughput systems is highly desirable. Knowledge of crypto trading, digital assets, or market data feeds is an advantage but More ❯

tests, SLAs, lineage, and monitoring; run post-incident reviews and drive permanent fixes. Platform creation & optimisation (AWS): Architect and operate on AWS (S3, Glue, Athena/Redshift Serverless, Lambda, Kinesis, Aurora/RDS, IAM) optimised for cost, performance, and reliability. Pipelines (ETL/ELT): Build and maintain batch/stream pipelines unifying factory machines & QC events, the web platform … expands to new manufacturing sites and markets. Required Skills and Qualifications: Deep, hands-on experience designing and operating data platforms on AWS (S3, Glue, Athena/Redshift Serverless, Lambda, Kinesis, IAM) and relational stores (Aurora/RDS). SQL + Python proficiency; experience with dbt (or similar) and a modern orchestration tool. Strong data modelling & warehousing (fact/dimension More ❯

specifically in Big Data processing services (Apache Spark, Beam or equivalent). In-depth knowledge on key technologies like Big Query/Redshift/Synapse/Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF etc. Excellent consulting experience and ability to design and build solutions, actively contribute to RfP response. Ability to … to lead and mentor the architects. Mandatory Skills [at least 2 Hyperscalers] GCP, AWS, Azure, Big data, Apache spark, beam on BigQuery/Redshift/Synapse, Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF Desirable Skills Designing Databricks based solutions for Azure/AWS, Jenkins, Terraform, StackDriver or any other DevOps tools More ❯

some of the following technology that is also in the tech stack: data pipeline orchestration tools (e.g. Airflow, Prefect, Dagster), cloud data platforms (e.g. AWS, S3, Glue, Athena, Redshift, Kinesis), data warehouse concepts and dimensional modelling, data streaming tools (e.g. Kafka, Kinesis) You're collaborative with great communication skills What's in it for you: Salary to £50k More ❯

security, cost efficiency, and operational sustainability. Implementation & Migration Lead full-scale migrations from legacy platforms (e.g., Avaya, Cisco, Genesys) to AWS Connect. Design and deploy IVR/contact flows, Amazon Lex conversational bots, analytics tools, and agent support solutions. Integration & Ecosystem Development Architect seamless integrations with CRM and ITSM platforms (Salesforce, ServiceNow, Dynamics, Pega), WFM/QM tools, and … identity management systems. Build API-driven architectures and real-time analytics pipelines leveraging AWS services such as Lambda, EventBridge, Kinesis, Glue, Athena, and CloudWatch. Security & Compliance Implement IAM policies, KMS encryption, VPC networking, and PrivateLink to secure data and connectivity. Ensure adherence to GDPR, PCI-DSS, ISO 27001, and industry-specific standards. Develop data retention policies, privacy impact frameworks … 10+ years in contact centre technologies. Minimum 5 years implementing AWS Connect solutions at enterprise scale with complex integrations. Proficient with AWS services: IAM, VPC, Lambda, API Gateway, EventBridge, Kinesis, CloudWatch, DynamoDB. Strong understanding of security and compliance frameworks (GDPR, PCI-DSS, ISO 27001). Hands-on experience with Infrastructure as Code (CloudFormation, Terraform, CDK) and serverless development (Node.js More ❯