15 of 15 Amazon Kinesis Jobs in the City of London

DevOps. Core Skills Cloud Expertise: Azure, AWS, SAP Data Engineering: ELT/ETL, Data Modeling, Data Warehousing Tools & Tech: Azure Data Factory, Databricks, Synapse, Stream Analytics, AWS Glue, Airflow, Kinesis, Redshift, SQL, GitHub, Azure DevOps, SonarQube, PyTest Preferred Experience Leading agile or scrum-based technical teams. Working with financial or planning data. Using documentation tools (e.g., MKDocs ). Why More ❯

betting, gaming, or a similar high-volume data environment. Strong coding skills in Python and advanced SQL expertise. Hands-on experience with AWS data tools (S3, Glue, Lambda, Redshift, Kinesis, etc.). Proficiency with Power BI (or equivalent data visualisation tools). Solid experience building and supporting data models for forecasting, pricing, or predictive analytics. Strong communication and stakeholder More ❯

risk workflows. What you’ll bring Proven experience as a Data Engineer within financial services, ideally hedge funds or buy-side. Strong expertise in AWS (S3, Glue, Lambda, Redshift, Kinesis, etc.). Advanced skills in Python and SQL for building pipelines and optimising performance. Hands-on experience with Power BI for data visualisation and reporting. Strong understanding of equities More ❯

deliver solutions for high availability and reliability What We’re Looking For Experience 4+ years in a senior technical role, ideally within data engineering AWS stack: S3, EMR, EC2, Kinesis, Firehose, Flink/MSF Python & SQL Security and risk management frameworks Excellent communication and collaboration skills Desirable Event streaming and event streaming analytics in real-world applications, or some More ❯

deliver solutions for high availability and reliability What We’re Looking For Experience 4+ years in a senior technical role, ideally within data engineering AWS stack: S3, EMR, EC2, Kinesis, Firehose, Flink/MSF Python & SQL Security and risk management frameworks Excellent communication and collaboration skills Desirable Event streaming and event streaming analytics in real-world applications, or some More ❯

Locators, Compiler Passes, Bundles, Console Excellent knowledge and experience of developing horizontally scaling and highly available solutions Excellent knowledge and experience with AWS services such as SQS, Step Functions, Kinesis, S3, DynamoDB, Lambda, EC2, Auto-Scaling Experience designing APIs and workflows for Lambda functions with strict per-call timeouts Experience using Serverless Framework or alternatively ECS Excellent SQL knowledge More ❯

Locators, Compiler Passes, Bundles, Console Excellent knowledge and experience of developing horizontally scaling and highly available solutions Excellent knowledge and experience with AWS services such as SQS, Step Functions, Kinesis, S3, DynamoDB, Lambda, EC2, Auto-Scaling Experience designing APIs and workflows for Lambda functions with strict per-call timeouts Experience using Serverless Framework or alternatively ECS Excellent SQL knowledge More ❯

Proven background as a Data Architect or similar data-led engineering role. Strong technical capability across data modelling, integration, governance, and transformation. Experience with AWS (S3, Glue, Redshift, Lambda, Kinesis) and/or Azure (ADF, Synapse, Fabric). Familiarity with modern data platforms (e.g. Databricks, Snowflake, or Lakehouse environments). Ability to operate confidently in highly secure, mission-focused More ❯

Proven background as a Data Architect or similar data-led engineering role. Strong technical capability across data modelling, integration, governance, and transformation. Experience with AWS (S3, Glue, Redshift, Lambda, Kinesis) and/or Azure (ADF, Synapse, Fabric). Familiarity with modern data platforms (e.g. Databricks, Snowflake, or Lakehouse environments). Ability to operate confidently in highly secure, mission-focused More ❯

teams to make sure the company’s AI models are learning, and improving, in production. 🧠 What You’ll Be Doing Architect and maintain real-time streaming data systems (Kafka, Kinesis, or Flink) Build robust feature pipelines using Airflow, Prefect, or Dagster Manage and optimise data storage solutions (Snowflake, BigQuery, Redshift, or Delta Lake) Automate and scale model training pipelines More ❯

move very quickly, and delays of even milliseconds can have big consequences. Essential skills: 3+ years of experience in Python development. 3+ with open-source real-time data feeds (Amazon Kinesis, Apache Kafka, Apache Pulsar or Redpanda) Exposure building and managing data pipelines in production. Experience integrating serverless functions (AWS, Azure or GCP). Passion for fintech and More ❯

move very quickly, and delays of even milliseconds can have big consequences. Essential skills: 3+ years of experience in Python development. 3+ with open-source real-time data feeds (Amazon Kinesis, Apache Kafka, Apache Pulsar or Redpanda) Exposure building and managing data pipelines in production. Experience integrating serverless functions (AWS, Azure or GCP). Passion for fintech and More ❯

tools Strong expertise in programming languages such as NodeJS Experience with cloud services like AWS or Google Cloud Platform Knowledge of data streaming technologies like Apache Kafka or AWS Kinesis What’s on offer £80,000–£90,000 salary Three office days: Monday, Tuesday, and Thursday (remote on Wed/Fri) Flat structure with progression based on skill and More ❯

system interfaces and data flows across our enterprise. Design and maintain clear, business-aligned data models. Build and support integrations using AWS services (Lambda, Step Functions, S3, MSK/Kinesis, API Gateway). Ensure data transformations are well documented, traceable, and consistent. Collaborate with product owners, architects, and business stakeholders to clarify requirements and deliver solutions. Troubleshoot integration issues … native services. Solid SQL skills and scripting experience (Python preferred). Expertise in data modelling and mapping complex transformations. Familiarity with ETL/ELT tools and streaming technologies (Kafka, Kinesis). Experience with CI/CD pipelines and infrastructure as code (Terraform or CloudFormation). Excellent communication skills – able to translate business needs into technical solutions. A proactive mindset More ❯

system interfaces and data flows across our enterprise. Design and maintain clear, business-aligned data models. Build and support integrations using AWS services (Lambda, Step Functions, S3, MSK/Kinesis, API Gateway). Ensure data transformations are well documented, traceable, and consistent. Collaborate with product owners, architects, and business stakeholders to clarify requirements and deliver solutions. Troubleshoot integration issues … native services. Solid SQL skills and scripting experience (Python preferred). Expertise in data modelling and mapping complex transformations. Familiarity with ETL/ELT tools and streaming technologies (Kafka, Kinesis). Experience with CI/CD pipelines and infrastructure as code (Terraform or CloudFormation). Excellent communication skills – able to translate business needs into technical solutions. A proactive mindset More ❯