1 to 25 of 100 Amazon Kinesis Jobs in the UK excluding London

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 ❯

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 ❯

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 ❯

a backend developer to work on the following tech stack: NodeJS/Typescript/Mocha/Sinon/Terraform/Git/Gitlab CICD/Docker AWS (ECS, EC2, Kinesis, Firehose, RDS, Lambda, S3, DynamoDB, SQS, SNS) Databases – Postgres/MySQL As a Senior Developer my client is looking for strong critical thinker with excellent problem-solving skills. Someone More ❯

Experience with/understanding of a wide variety of analytics tools such as SQL, Alteryx, AWS Sagemaker, Quicksight, Tableau and PowerBI Desirable: Experience using Lake Formation Experience with AWS Kinesis/Firehose for real-time data pipelines Experience of rail, airline or leisure industry Experience with data warehousing and AWS Redshift Why Join? This is a unique opportunity to More ❯

Experience with/understanding of a wide variety of analytics tools such as SQL, Alteryx, AWS Sagemaker, Quicksight, Tableau and PowerBI Desirable: Experience using Lake Formation Experience with AWS Kinesis/Firehose for real-time data pipelines Experience of rail, airline or leisure industry Experience with data warehousing and AWS Redshift Why Join? This is a unique opportunity to More ❯

systems (e.g., pipelines, model serving, feature stores, analytics workloads) Nice to Have: * Experience integrating Python ML services (TF/torch), feature stores, or model registries * Event streaming & messaging (Kafka, Kinesis, NATS, SQS, Pub/Sub) * Observability stacks (OpenTelemetry, Prometheus, Grafana) * IaC (Terraform), security-by-design, OAuth/OIDC, secrets management * Batch & streaming data processing (Spark/Flink/Beam More ❯

and reusable Implement schemas, contracts, and observability Support compliance with global data regulations What youll bring Good working experience in data engineering Hands-on with Kafka/Pulsar/Kinesis Strong SQL & relational DBs (Postgres/MySQL) Coding experience in Java/Scala Cloud (AWS preferred) + Infrastructure-as-Code familiarity Solid understanding of ETL/ELT and data More ❯

reusable Implement schemas, contracts, and observability Support compliance with global data regulations What you’ll bring Good working experience in data engineering Hands-on with Kafka/Pulsar/Kinesis Strong SQL & relational DBs (Postgres/MySQL) Coding experience in Java/Scala Cloud (AWS preferred) + Infrastructure-as-Code familiarity Solid understanding of ETL/ELT and data 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 ❯