1 to 25 of 28 Permanent 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 ❯

What you’ll be doing: -Build and maintain event-driven data pipelines that power Citywire’s Catalyst platform. -Design resilient, fault-tolerant workflows using AWS services such as Lambda, Kinesis, SQS, DynamoDB Streams, and EventBridge. -Implement processors that ensure data consistency across DynamoDB, PostgreSQL (Aurora), OpenSearch, and BigQuery. -Modernise legacy batch processes into stream-first architectures. -Build and integrate More ❯

What you’ll be doing: -Build and maintain event-driven data pipelines that power Citywire’s Catalyst platform. -Design resilient, fault-tolerant workflows using AWS services such as Lambda, Kinesis, SQS, DynamoDB Streams, and EventBridge. -Implement processors that ensure data consistency across DynamoDB, PostgreSQL (Aurora), OpenSearch, and BigQuery. -Modernise legacy batch processes into stream-first architectures. -Build and integrate More ❯

What you’ll be doing: -Build and maintain event-driven data pipelines that power Citywire’s Catalyst platform. -Design resilient, fault-tolerant workflows using AWS services such as Lambda, Kinesis, SQS, DynamoDB Streams, and EventBridge. -Implement processors that ensure data consistency across DynamoDB, PostgreSQL (Aurora), OpenSearch, and BigQuery. -Modernise legacy batch processes into stream-first architectures. -Build and integrate More ❯

What you’ll be doing: -Build and maintain event-driven data pipelines that power Citywire’s Catalyst platform. -Design resilient, fault-tolerant workflows using AWS services such as Lambda, Kinesis, SQS, DynamoDB Streams, and EventBridge. -Implement processors that ensure data consistency across DynamoDB, PostgreSQL (Aurora), OpenSearch, and BigQuery. -Modernise legacy batch processes into stream-first architectures. -Build and integrate More ❯

What you’ll be doing: -Build and maintain event-driven data pipelines that power Citywire’s Catalyst platform. -Design resilient, fault-tolerant workflows using AWS services such as Lambda, Kinesis, SQS, DynamoDB Streams, and EventBridge. -Implement processors that ensure data consistency across DynamoDB, PostgreSQL (Aurora), OpenSearch, and BigQuery. -Modernise legacy batch processes into stream-first architectures. -Build and integrate 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 ❯

/CD practices Skilled in Linux systems, networking, and containerised deployments (Docker) Experience with scripting (Python, Bash) and automation workflows Familiarity with data pipeline tools (e.g. Airflow, dbt, Glue, Kinesis, or Kafka) Understanding of observability: logging, alerting, and metrics (CloudWatch, Grafana, etc.) Nice to Have: Background in IoT, utilities, or environmental data platforms Experience with LPWAN technologies (e.g. LoRaWAN More ❯

Extensive experience with cloud platforms (AWS, GCP, or Azure) Experience with: Data warehousing and lake architectures ETL/ELT pipeline development SQL and NoSQL databases Distributed computing frameworks (Spark, Kinesis etc) Software development best practices including CI/CD, TDD and version control. Containerisation tools like Docker or Kubernetes Experience with Infrastructure as Code tools (e.g. Terraform or CloudFormation 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 . Essential requirements You thrive in problem-solving and analytical thinking You enjoy collaborating with multiple stakeholders in a fast-paced environment Experience in the design and More ❯

performance tuning, and infrastructure as code. Desirable Skills & Certifications AWS or Microsoft certifications (e.g., Data Analytics Speciality, DP-203, PL-300). Experience with Azure Data Factory, Kafka/Kinesis, or message brokers. Familiarity with LLMs (e.g., Claude, Azure OpenAI) and vector databases. Why You Should Apply Be part of a company driving innovation and sustainability in logistics. Lead More ❯

requests are the Team's goals.Knowledge and experience of build tools - Maven and Gradle Knowledge and experience of relational DBMS - PostgresdbKnowledge of using AWS services via Terraform - Secrets Manager, Kinesis Firehose, S3, Open Search etcKnowledge and experience of configuring and using New Relic, Kibana for observing metrics and configuring alerts.Knowledge and experience of using Docker, containers, helm, kustomize to More ❯

Groovy, JSP, 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. More ❯

requests are the Team's goals.Knowledge and experience of build tools - Maven and Gradle Knowledge and experience of relational DBMS - PostgresdbKnowledge of using AWS services via Terraform - Secrets Manager, Kinesis Firehose, S3, Open Search etcKnowledge and experience of configuring and using New Relic, Kibana for observing metrics and configuring alerts.Knowledge and experience of using Docker, containers, helm, kustomize to 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 ❯

data modelling, analysis, transformation, migration, metadata, and master data management. Experienced delivering data analytics solutions and supporting AI initiatives. Hands on experience with cloud data platforms, ideally AWS (S3, Kinesis, Glue, Redshift, Lambda, EMR) and/or Azure (ADF, Synapse, Fabric, AzureFunctions). Familiarity with modern data lakehouse environments such as Databricks, Snowflake, or Microsoft Fabric (highly desirable). More ❯

multiple legacy source systems, structures and unstructured data) Proficiency with Parquet/Delta Lake or other modern data storage formats Experience with streaming architectures using Kafka, Event Hubs, or Kinesis for real-time data processing Knowledge of data architectures supporting AI/ML workloads, including vector databases, feature stores and MLOps pipelines Experience processing and managing unstructured data types More ❯

re looking for Requirements: 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 Ideally be fully 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯