1 to 25 of 143 Amazon Kinesis Jobs

sensitive environments. Desirable skills: AWS Certified Solutions Architect - Professional or equivalent Experience with data mesh, data product thinking, or domain-driven design Exposure to real-time data processing (e.g., Kinesis, Kafka) Experience in highly regulated industries such as banking or insurance Rewards & Benefits TCS is consistently voted a Top Employer in the UK and globally. Our competitive salary packages More ❯

sensitive environments. Desirable skills: AWS Certified Solutions Architect – Professional or equivalent Experience with data mesh, data product thinking, or domain-driven design Exposure to real-time data processing (e.g., Kinesis, Kafka) Experience in highly regulated industries such as banking or insurance Rewards & Benefits TCS is consistently voted a Top Employer in the UK and globally. Our competitive salary packages More ❯

sensitive environments. Desirable skills: AWS Certified Solutions Architect – Professional or equivalent Experience with data mesh, data product thinking, or domain-driven design Exposure to real-time data processing (e.g., Kinesis, Kafka) Experience in highly regulated industries such as banking or insurance Rewards & Benefits TCS is consistently voted a Top Employer in the UK and globally. Our competitive salary packages More ❯

sensitive environments. Desirable skills: AWS Certified Solutions Architect – Professional or equivalent Experience with data mesh, data product thinking, or domain-driven design Exposure to real-time data processing (e.g., Kinesis, Kafka) Experience in highly regulated industries such as banking or insurance Rewards & Benefits TCS is consistently voted a Top Employer in the UK and globally. Our competitive salary packages More ❯

sensitive environments. Desirable skills: AWS Certified Solutions Architect – Professional or equivalent Experience with data mesh, data product thinking, or domain-driven design Exposure to real-time data processing (e.g., Kinesis, Kafka) Experience in highly regulated industries such as banking or insurance Rewards & Benefits TCS is consistently voted a Top Employer in the UK and globally. Our competitive salary packages More ❯

sensitive environments. Desirable skills: AWS Certified Solutions Architect – Professional or equivalent Experience with data mesh, data product thinking, or domain-driven design Exposure to real-time data processing (e.g., Kinesis, Kafka) Experience in highly regulated industries such as banking or insurance Rewards & Benefits TCS is consistently voted a Top Employer in the UK and globally. Our competitive salary packages More ❯

including S3, Redshift, Glue, Lambda Familiarity with data warehousing (Redshift, Snowflake, BigQuery) Experience with workflow orchestration tools (Airflow, Dagster, Prefect) Understanding of distributed systems, batch and streaming data (Kafka, Kinesis) Knowledge of IaC (Terraform, CloudFormation) and containerisation (Docker, Kubernetes) Nice to have: Experience with dbt, feature stores, or ML pipeline tooling Familiarity with Elasticsearch or real-time analytics (Flink More ❯

including S3, Redshift, Glue, Lambda Familiarity with data warehousing (Redshift, Snowflake, BigQuery) Experience with workflow orchestration tools (Airflow, Dagster, Prefect) Understanding of distributed systems, batch and streaming data (Kafka, Kinesis) Knowledge of IaC (Terraform, CloudFormation) and containerisation (Docker, Kubernetes) Nice to have: Experience with dbt, feature stores, or ML pipeline tooling Familiarity with Elasticsearch or real-time analytics (Flink More ❯

including S3, Redshift, Glue, Lambda Familiarity with data warehousing (Redshift, Snowflake, BigQuery) Experience with workflow orchestration tools (Airflow, Dagster, Prefect) Understanding of distributed systems, batch and streaming data (Kafka, Kinesis) Knowledge of IaC (Terraform, CloudFormation) and containerisation (Docker, Kubernetes) Nice to have: Experience with dbt, feature stores, or ML pipeline tooling Familiarity with Elasticsearch or real-time analytics (Flink More ❯

including S3, Redshift, Glue, Lambda Familiarity with data warehousing (Redshift, Snowflake, BigQuery) Experience with workflow orchestration tools (Airflow, Dagster, Prefect) Understanding of distributed systems, batch and streaming data (Kafka, Kinesis) Knowledge of IaC (Terraform, CloudFormation) and containerisation (Docker, Kubernetes) Nice to have: Experience with dbt, feature stores, or ML pipeline tooling Familiarity with Elasticsearch or real-time analytics (Flink More ❯

including S3, Redshift, Glue, Lambda Familiarity with data warehousing (Redshift, Snowflake, BigQuery) Experience with workflow orchestration tools (Airflow, Dagster, Prefect) Understanding of distributed systems, batch and streaming data (Kafka, Kinesis) Knowledge of IaC (Terraform, CloudFormation) and containerisation (Docker, Kubernetes) Nice to have: Experience with dbt, feature stores, or ML pipeline tooling Familiarity with Elasticsearch or real-time analytics (Flink More ❯

including S3, Redshift, Glue, Lambda Familiarity with data warehousing (Redshift, Snowflake, BigQuery) Experience with workflow orchestration tools (Airflow, Dagster, Prefect) Understanding of distributed systems, batch and streaming data (Kafka, Kinesis) Knowledge of IaC (Terraform, CloudFormation) and containerisation (Docker, Kubernetes) Nice to have: Experience with dbt, feature stores, or ML pipeline tooling Familiarity with Elasticsearch or real-time analytics (Flink 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

expertise in providing strategic oversight and guidance for AWS cloud architecture (including EKS/ECS, serverless, RDS/Aurora, DynamoDB, S3, CloudFront, ALB/NLB, SNS/SQS/Kinesis, KMS/Secrets), infrastructure as code (Terraform, CloudFormation, CDK), and observability practices, ensuring best-in-class standards are set and maintained across engineering teams. Experience stewarding the implementation of More ❯