23 of 23 Amazon Kinesis Jobs in London

solutions that are reliable, cost-effective, and built to grow. This isn’t a generalist role. You’ll be the go‐to expert for Amazon SNS, Amazon SQS, Amazon MQ, and the broader messaging ecosystem — including open‐source technologies like RabbitMQ, Apache ActiveMQ, and MQTT‐based architectures. … responsibilities Act as the primary technical advisor for messaging and event‐driven architecture engagements across EMEA customers Design and validate architectures using Amazon SNS, Amazon SQS, Amazon MQ, and related services (EventBridge, Kinesis) tailored to customer workloads Guide customers migrating from on‐premises message brokers (RabbitMQ ...

effective data solutions that meet complex business needs and support informed decision-making. Experience Required: Strong AWS expertise, including tools such as Glue, Lambda, Kinesis, EMR, Athena, DynamoDB, CloudWatch, SNS and Step Functions. Skilled in modern programming, particularly Python, Java, Scala and PySpark. Solid knowledge of data storage ...

management Experience with CI/CD pipelines using Bitbucket, GitHub Actions, or GitLab Data modelling and SQL expertise Knowledge of event‐driven architectures involving Kinesis, ActiveMQ, or RabbitMQ Experience with EKS and EC2 platforms Ability to monitor, support, and optimise cloud and data platforms Key Responsibilities Build and maintain ...

includes: Data Platform: Databricks, DBT, Fivetran Languages: Python, SQL Databases: SQL Server (legacy, being modernised), plus lakehouse storage on S3 Cloud & Infrastructure: AWS (EventBridge, Kinesis, Lambda, S3, EC2), Terraform (Infrastructure as Code) Streaming: Kafka Containers & Orchestration: ECS, Kubernetes Who We’re Looking For A data or platform engineer with ...

engineering background with a track record of implementing and owning event streaming platforms Hands‐on experience working with stream technologies, primarily Kafka, but also Kinesis Experience designing and implementing stream processing applications with Flink Experience working with cloud‐based technologies such as AWS (MSK, S3, Lambda, ECS, SNS) Experience ...

mentor and support data engineers at all levels, influencing how data engineering evolves within GBR. The technologies in use include Redshift, EC2, Glue, Lambda, Kinesis Firehose, Athena, and S3. Proficiency in Python, SQL, and Bash is essential. You’ll encounter a wide range of source systems, from legacy technology ...

system design. Certifications such as CISSP, CISM, CCSP, or cloud security certifications are desirable. Desirable AWS CDK (TypeScript) AWS DMS/change‐data‐capture, Kinesis Firehose, or other streaming‐ingest tooling Entra ID (Azure AD) SSO and SCIM provisioning FinOps/cloud cost optimisation A background working with regulated ...

MongoDB/DocumentDB, MySQL) and analytical/data warehouse systems (Redshift) Experience building and scaling data pipelines (batch and streaming) using tools such as Kinesis, SQS/SNS, and Lambda Strong understanding of search and retrieval systems (Elasticsearch) and how data modelling choices affect downstream relevance and ranking Deep ...

connecting enterprise API integrations, and implementing agentic guardrails. Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming tools (AWS Kinesis, Kafka), data orchestration (dbt, Airflow), and managing vector databases for RAG architectures. Observability & Cost Management: SRE/Platform experience with the practical application ...

Data Modeling Data Integration & Ingestion Data Manipulation and Processing GitHub, GitHub Actions, Azure DevOps Data Factory, Databricks, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, PyTest AI based Code developed and AI-built automated data pieplines Key Characteristics Technology expert who constantly pursues knowledge enhancement ...

. Familiarity with AI/ML workflows and their data requirements. Experience with API specifications and data integrations acrossETL and streaming services ( Glue, MSK, Kinesis, Kafka ). Familiarity with AI developer tools like Cursor and GitHub Copilot and desire to use them to 10x your throughput. Collaborative approach ...

reviews, maintain high coding standards, and thrive in Agile, collaborative team environments. Experience designing and operating distributed, event-driven systems using Kafka Streams, AWS Kinesis, or similar frameworks. Proven ability to optimize microservices for low-latency, high-throughput processing at significant scale. Preferred Qualifications: Familiarity with AWS cloud infrastructure ...

design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB), GraphQL and modern data warehouse tools including Snowflake and DataBricks* Ability to think strategically and relate architectural ...

Data Modeling Data Integration & Ingestion Data Manipulation and Processing GitHub, GitHub Actions, Azure DevOps Data Factory, Databricks, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, PyTest Key Characteristics Technology expert who constantly pursues knowledge enhancement and has an inherent curiosity to understand work from multiple dimensions. Deep ...

management and proactive problem‐solving skills. Experience designing and implementing batch and stream data processing systems. Experience with Datadog, SQL, Terraform, Docker, AWS (ECS, Kinesis, SQS, CloudWatch), GCP (BigQuery). Knowledge of Airflow, Kafka, Flink, dbt, Kubernetes is highly beneficial. Good understanding of AI platforms, experience building infrastructure ...

autonomy while staying deeply embedded in collaborative engineering culture. Tech Stack: Java 21 (Spring Boot 3), Python, LangGraph, LLM APIs (OpenAI, Anthropic, Gemini), PostgreSQL, Kinesis, AWS, Terraform, GitHub Actions, Node.js, TypeScript, Next.js, React. What you will do Take ownership of complex backend systems from design through production — including architecture ...

text, please click on the "Apply Now" link. Requirements Java Java Springboot JEST (good to have) TypeScript (good to have) AWS services knowledge (Lambda, Kinesis Stream, SQS, Eventbridge) BDD framework cucumber (good to have) CI... 108 E 16th Street, New York, NY 10003 Subscribe to our newsletter Join over ...

text, please click on the "Apply Now" link. Requirements Java Java Springboot JEST (good to have) TypeScript (good to have) AWS services knowledge (Lambda, Kinesis Stream, SQS, Eventbridge) BDD framework cucumber (good to have) CI... 108 E 16th Street, New York, NY 10003 Subscribe to our newsletter Join over ...

collaborate with cross-functional teams to deliver scalable microservices. The role emphasizes experience with Java/Scala/Kotlin, distributed systems, and AWS/Kinesis, with opportunities to work on AI-enabled solutions and fast-moving, data-driven projects. #J-18808-Ljbffr ...

engineering experience, focusing on backend systems for large‐scale data storage, streaming, and warehousing. Experience with database technologies (MongoDB, Postgres), streaming/processing solutions (Kinesis, Flink, Spark), indexing/caching (ElasticSearch, Redis), and query engines (Trino, Presto, Snowflake). Track record of mentoring and leading teams in successful projects. ...

systems, specifically related to building large-scale data storage, streaming, and warehousing systems. Experience in various database technologies (MongoDB, Postgres), streaming/processing solutions (Kinesis, Flink, Spark), indexing/caching (ElasticSearch, Redis), and various data query engines (Trino, Presto, Snowflake, etc.). Show a track record of mentoring ...

from data lakes and lakehouses to real-time streaming pipelines, business intelligence, and advanced analytics leveraging the breadth of AWS’s analytics portfolio, including Amazon Redshift, Athena, EMR, Glue, Kinesis, QuickSight, and OpenSearch. You’ll serve as a trusted technical advisor to enterprise customers navigating complex analytics modernisation … reference architectures. Key job responsibilities Architect analytics solutions — design data lake, lakehouse, warehouse, and streaming architectures using AWS analytics services (Redshift, Athena, EMR, Glue, Kinesis, QuickSight, OpenSearch). Lead analytics modernisation — guide customers migrating from legacy platforms (Teradata, Oracle, Netezza, Hadoop) to cloud‐native analytics, including ETL refactoring ...

Software Engineering, Agentic & AI Development (30%): Solid software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production‐level experience with tools such as Amazon Bedrock, AWS AgentCore, Azure AI Studio, LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying … maintaining data orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real‐time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern observability tooling (OpenTelemetry) alongside automated cost‐control systems (such as Karpenter, Infracost, OpenCost, or Cloud Custodian). Domain & Sector ...