12 of 12 Amazon Kinesis Jobs in the Thames Valley

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

orchestration tools (Airflow, dbt, Dagster, Prefect) Strong knowledge of cloud data platforms (AWS, GCP, or Azure) and data warehousing (Snowflake, BigQuery, Redshift) Hands-on experience with streaming technologies (Kafka, Kinesis, or similar) Solid understanding of data modelling, governance, and architecture best practices Familiarity with machine learning pipelines or AI model integration TO BE CONSIDERED... Please either apply by clicking 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 ❯

Engineer (Databricks) Deep hands-on experience with Databricks, Delta Live Tables (DLT), data modelling, data ingestion & integration Strong proficiency across Data Factory, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, GITHUB/DevOps tools, testing frameworks (SonarQube/PyTest) Proven experience leading data engineering teams while remaining actively hands-on involved in delivery Background within energy, utilities, commodities 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 ❯

Solution Architecture & Design Define target architecture for Amazon Connect across voice, chat, and tasks, ensuring high availability, disaster recovery, and multi-region resilience. Apply AWS Well-Architected Framework principles and enterprise architecture standards for security, sustainability, and cost optimization. Implementation & Migration Lead end-to-end migration from legacy platforms (Avaya, Cisco, Genesys) to Amazon Connect. Design and implement … platforms (Salesforce, ServiceNow, Dynamics, Pega), WFM/QM systems, and identity management solutions. Build API-driven architectures, event streams, and real-time analytics pipelines using AWS services (Lambda, EventBridge, Kinesis, Glue, Athena). Security, Compliance & Governance Implement IAM, KMS encryption, VPC networking, and PrivateLink for secure connectivity. Ensure compliance with GDPR/UK GDPR, PCI-DSS, ISO 27001, and … Prepare investment cases, TCO/ROI analyses, and compliance documentation for audits. Required Qualifications 15+ years in architecture/engineering, 10+ years in contact centre technologies, 5+ years with Amazon Connect. Proven delivery of enterprise-scale Amazon Connect implementations with complex integrations. Expertise in AWS services: IAM, VPC, Lambda, API Gateway, EventBridge, Kinesis, CloudWatch, DynamoDB. Strong knowledge More ❯

modern engineering trends. Stay ahead of the curve in Generative AI, ML infrastructure, and cloud-native tooling. Tech Stack Programming: Python (Java familiarity is a plus). AWS: S3, Kinesis, Glue, Lambda, Step Functions, SageMaker, and more. On-Prem: Managed Kubernetes Platform and Hadoop ecosystem. Why This Role is Different Direct Impact: Build AI tools that traders and quants … programming skills in Python; passion for code quality and testing. Demonstrable experience applying GenAI concepts to front-office/capital market environments. Deep experience with AWS services (S3, Glue, Kinesis, Lambda, ECS, IAM, KMS, API Gateway, Step Functions, MSK, CloudFormation). Passion for being hands-on while enabling and growing a small engineering team. Nice to Have Experience with More ❯