1 to 25 of 29 Amazon Kinesis Jobs in the UK excluding London

Support and mentor less-experienced engineers through code reviews, pairing, technical guidance, and knowledge sharing. Stay current with AWS services and engineering approaches, including Amazon Bedrock and Amazon Q Business, and propose relevant innovations for client delivery. Contribute to the engineering community through learning sessions, reusable assets, methods … focus on AWS. Experience understanding client requirements and solving problems within multidisciplinary delivery teams. Hands-on delivery experience across AWS services such as Amazon EC2, Amazon EKS, Amazon RDS, Amazon Redshift, Amazon S3, Amazon VPC, AWS IAM, AWS Lambda, AWS App Runner ...

maintaining cloud-based platforms and infrastructure, with a focus on AWS. Hands on experience with AWS, including practical delivery across core services such as Amazon EC2, Amazon EKS, Amazon RDS, Amazon Redshift, Amazon S3, Amazon VPC, AWS Identity and Access Management (IAM), AWS Lambda … identity management in cloud environments, including AWS-specific best practices. Familiarity with monitoring, logging, and alerting tools (e.g., Prometheus, Grafana, the ELK stack, Amazon CloudWatch, and AWS X-Ray). Experience with version control systems (e.g., Git) and scripting languages (e.g., Python, Bash, Go). Ability to troubleshoot ...

infrastructure and platform solutions. Foundational understanding of AWS services, cloud infrastructure and modern engineering practices. Experience with one or more AWS services such as Amazon EC2, Amazon S3, Amazon RDS, Amazon VPC, AWS IAM or AWS Lambda. Understanding of Infrastructure as Code principles and tools such … hybrid and multi-cloud architectures, including the integration of on-premises environments with AWS. Awareness of AI and machine learning services on AWS, including Amazon SageMaker, Amazon Bedrock and Amazon Q Business. Awareness of AWS billing, cost management and optimisation services, including AWS Cost Explorer ...

Data Factory.* Azure Data Engineer Associate and Databricks Certified Data Engineer Professional**AWS*** Proficiency with AWS Tools: Demonstrable experience using AWS Glue, AWS Lambda, Amazon Kinesis, Amazon EMR , Amazon Athena, Amazon DynamoDB, Amazon Cloudwatch, Amazon SNS and AWS Step Functions.* Programming Skills: Strong ...

source-code management. Strong troubleshooting and problem-solving skills. AWS Experience Candidates should have practical experience with relevant AWS data services, such as: Amazon S3 AWS Glue Amazon Redshift AWS Lambda Amazon Athena Amazon RDS AWS IAM Amazon CloudWatch Experience with services such as Kinesis, EMR, Step Functions or MWAA/Airflow would be advantageous. AWS data engineering roles commonly use services such as S3, Glue, Redshift, Lambda, Kinesis and IAM for data platforms and pipelines. Power BI Experience Power BI Desktop and Power BI Service. Dashboard and report development. Data modelling ...

Data Engineer, ETL Developer, Data Platform Engineer, or a similar role Strong hands‐on experience with Python and PySpark Experience with AWS Glue, Amazon Athena, Amazon Redshift , and cloud‐based data platforms Strong SQL skills and experience working with both relational and NoSQL databases Experience supporting or developing … Apache Iceberg or modern lakehouse solutions Experience working in Agile delivery environments Familiarity with Linux and Git‐based version control Desirable experience Experience with Amazon Kinesis Experience using Jira Exposure to CI/CD pipelines and modern software engineering practices Qualifications Degree in Computer Science, Data Engineering, Software ...

translate business requirements into scalable technical solutions Desirable Experience AWS Data Services (Glue, EMR, Lambda, S3, Athena, Redshift) Streaming technologies such as Kafka or Kinesis Data modelling and metadata management AI/ML data pipelines and feature engineering Geospatial, sensor, operational or intelligence-related datasets Experience working within Defence ...

across: Batch data processing, ELT and orchestration. Modern streaming technologies such as Flink or comparable platforms. AWS data services, including S3, Lambda, Glue, Athena, Kinesis and RDS. Infrastructure as code using Terraform. CI/CD and automated testing. Lakehouse architecture and open table formats such as Iceberg. Medallion architecture ...

data masking, row access policies, column-level security, Tri-Secret encryption, network policies, Horizon Catalog, access history, and data classification.Streaming and CDC patterns (Kafka, Kinesis, Snowpipe Streaming) and event-driven architectures for near real-time use cases.Data governance and metadata management (catalogs, lineage, MDM, data quality frameworks) with familiarity ...

Develop and support real-time streaming pipelines and event-driven integrations. Integrate data from multiple sources (streaming, batch, APIs) using AWS managed services (e.g., Kinesis, MSK, Lambda, Glue). Data Architecture & Standards Contribute to data modelling, data architecture best practices, and modern patterns (e.g., medallion architecture). Ensure data ...

warehousing, ELT and orchestration. Modern streaming technologies such as Flink or comparable platforms. Production AWS data engineering. AWS services including S3, Lambda, Glue, Athena, Kinesis, RDS, IAM and CloudWatch. Lakehouse architectures and open table formats such as Iceberg. Medallion-style data layering and dimensional modelling. Strong SQL and Python ...

following would be beneficial but not essential: Data Warehousing (Snowflake, Redshift, Synapse, BigQuery, etc.) Relational, NoSQL, graph and vector databases Streaming technologies (Kafka, Kinesis, Flink, etc.) Containers and related services (Docker, Kubernetes, container Registries, etc) Data modelling approaches (Kimball, Imnon) Orchestration tools - Apache Airflow, Prefect or cloud-native tools ...

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 ...

driven design (DDD), bounded contexts, data ownership, event-driven integration, eventual consistency and distributed transactions. Event Streaming: Hands-on experience designing and operating Kafka, Kinesis or equivalent platforms, including partitioning, ordering, event contracts, schema evolution, idempotency, replay, delivery guarantees, fault tolerance, security and operational support. Data Modelling & Storage: Strong ...

/or AWS certifications at Associate or Professional level. Streaming Architectures: Practical experience with real-time or event-driven streaming (Kafka/MSK, Kinesis, Spark Structured Streaming). Advanced Data Architectures: Exposure to Data Mesh concepts, data products, or federated data governance models. AI/ML Infrastructure: Exposure ...

/or AWS certifications at Associate or Professional level. Streaming Architectures: Practical experience with real-time or event-driven streaming (Kafka/MSK, Kinesis, Spark Structured Streaming). Advanced Data Architectures: Exposure to Data Mesh concepts, data products, or federated data governance models. AI/ML Infrastructure: Exposure ...

GitHub Actions. Experience with Lambda, ECS and Fargate. Good knowledge of AWS security, IAM, KMS and incident response. Experience with data pipelines using Kinesis, Kafka or similar. Proficiency in TypeScript and some Python. Strong communication skills and ability to take technical ownership. Experience with AWS Bedrock or other ...

cloud platforms like AWS, GCP, and Azure, with a preference for AWS. Proficiency in real-time streaming applications using Apache Spark Streaming, Apache Kafka, Amazon Kinesis, and emerging cloud serverless managed services. #J-18808-Ljbffr ...

data Have exposure to at least one cloud platform (AWS, Azure or GCP) and experience of associated technologies (for example with AWS: DynamoDB, Redshift, Kinesis Pipelines, Glue, Lambda, QuickSight, etc) Have experience with DataOps concepts Equal Opportunities Statement Diversity and inclusion are hugely important ...

preparation. Nice to have: Time-series forecasting or optimisation, ideally in energy Vector databases and lakehouse architectures Terraform, Docker/Kubernetes, or streaming (Kafka, Kinesis, Event Hubs) Cloud certifications Consulting or energy-sector experience What's in It for You? High Impact: Work on energy-sector AI solutions that ...

data Have exposure to at least one cloud platform (AWS, Azure or GCP) and experience of associated technologies (for example with AWS: DynamoDB, Redshift, Kinesis Pipelines, Glue, Lambda, QuickSight, etc) Have experience with DataOps concepts Why join our client? Were building a culture where talented people can do meaningful ...

problem-solving skills. Desirable Skills: Real-time systems/telemetry dashboards; IoT platforms; Robotics or autonomous system integration; Geospatial/mapping tools. Data streaming (Kinesis, Kafka) What we Offer Work life balance promoted with every other Friday off; 30 days annual leave; Competitive rate of pay, reviewed annually; Enhanced ...

APIs to enable integration between business systems Working with SQL and NoSQL databases, including MongoDB Developing event-driven solutions using AWS services such as Kinesis and SQS Creating modern, responsive web applications using TypeScript and Angular Collaborating with cross-functional teams to deliver high-quality software solutions Participating ...

fluent across the core services, for example: Storage & Lakehouse: RDS, DynamoDB, S3, SageMaker Lakehouse Processing & ETL: Glue, EMR, Athena, CDC/DMS, DataBrew, Kinesis, dbt Data management & metadata: Lake Formation, Glue Data Catalog, SageMaker Catalog/DataZone AI: Bedrock (including AgentCore) and SageMaker AI On Azure, you’re fluent … analytics and decision‐making. AI : You understand how AI is built and deployed in modern data platforms (Databricks, Snowflake) and cloud‐native services like Amazon Bedrock, with enough depth to guide teams and advise clients, spanning LLMs and SLMs, agentic automation, Human in the Loop and MLOps. Data Architecture ...

strong backend development experience. Experience integrating and working with third‐party systems to support search functionality across domains. Familiarity with event‐driven architectures using Amazon SNS, Amazon SQS, or Kinesis. Strong experience with AWS services such as Lambda, API Gateway, Step Functions, S3, ECS/EKS, DynamoDB, Aurora ...