21 of 21 Amazon Kinesis Jobs in the UK excluding London

process both structured and unstructured data sets. Nice-to-have skills: Knowledge of Open Table Formats (Iceberg/Delta). AWS Tools: Experience with Amazon CloudWatch, SNS, Athena, DynamoDB, EMR, Kinesis. Data modelling Job scheduling/orchestration Data virtualisation tools (Denodo) ALM Tooling (Jira, Confluence) CI/CD toolsets ...

Spark/PySpark and modern table formats (e.g. Delta Lake, Iceberg, Hudi) Expertise in AWS data services (e.g. S3, Glue, Redshift, Lambda, Step Functions, Kinesis) and infrastructure-as-code (Terraform or CDK) Experience with workflow orchestration tools such as Airflow or similar Ability to design scalable architectures, make pragmatic ...

real-time streaming and event-driven integrations Integrate data from multiple sources including streaming, batch, and APIs Work with managed cloud services such as Kinesis, MSK, Lambda, and Glue Contribute to data modelling, architecture patterns, and engineering best practice Ensure data quality, lineage, governance, and security controls are embedded ...

reviews, and CI/CD practices. Preferred Qualifications: Have used Azure cloud services previously Experience with streaming/event-driven systems e.g., Kafka/Kinesis Experience with infrastructure as code e.g., Terraform and containerization e.g., Docker/Kubernetes Familiarity with data governance, cataloging, lineage, and privacy/security best ...

through to deployment. What youll be working with: Java (primary language) for data pipeline development Streaming tools like Kafka/Flink/Spark AWS (Kinesis, Lambda, Glue) CI/CD, Terraform, Docker & Kubernetes What were looking for from you: 3+ years in data engineering or large-scale data systems ...

work closely with technical and business teams to deliver impactful solutions. Nice-to-Haves: Orchestration tools (Airflow, dbt, Prefect) or streaming frameworks (Kafka, Kinesis). CI/CD experience and DevOps practices for data workflows. Exposure to data visualisation platforms (PowerBI, Tableau, MicroStrategy). Experience in financial services ...

/ELT pipelines. Hands-on experience with SQL and NoSQL databases (PostgreSQL, MySQL, DynamoDB, Bigtable). Practical experience with AWS (S3, Redshift, Kinesis) and GCP (BigQuery, Pub/Sub). Familiarity with streaming platforms and real-time processing (Kafka, Spark, Flink). Understanding of data governance tools and frameworks ...

deploying AI applications in real-world environments. Experience with Agentic Solutions and technologies (Langchain, Langragh, Rag-Patterns) Deep experience with AWS services (S3, Glue, Kinesis, Lambda, ECS, IAM, KMS, Api Gateway, Step Functions, MSK, Cloudformation etc.) Experience with On-Prem Hadoop and Kubernetes. Strong programming skills in Python; familiarity ...

data lakes, vector databases). Additional (Nice-to-Have) Skills Infrastructure as Code: Terraform or similar. Containers & Kubernetes: Docker, EKS/AKS. Streaming: Kafka, Kinesis, Event Hubs. AWS or Azure certifications. Desirable Experience Consulting or Energy sector experience. Public profile (blogs, conferences, open source). Stakeholder engagement and requirements ...

Azure) Experience with data warehousing and lake architectures ETL/ELT pipeline development SQL and NoSQL databases Distributed computing frameworks (Spark, Kinesis etc) Software development best practices including CI/CD, TDD and version control Strong understanding of data modelling and system architecture Excellent problem-solving and analytical skills ...

billions of data points YOUR SKILLS AND EXPERIENCE You will bring strong capability in: Python and SQL AWS data infrastructure (S3, Redshift, Glue, Athena, Kinesis, Lambda) End-to-end ownership, from proof-of-concept through to production THE BENEFITS You will receive a salary ...

grade data pipelines using Python and SQL Hands on experience with AWS data services such as S3, Redshift, Glue, Athena, and streaming technologies like Kinesis Experience working with large scale, high velocity event data and understanding the trade offs around cost, performance, and reliability Ability to think beyond implementation ...

Skills & Experience: Strong backend or platform engineering experience, ideally within IoT or distributed systems Deep knowledge of AWS Technologies (IoT Core, Lambda, DynamoDB, Kinesis, SQS, API Gateway) Proficiency in Python, Node.js, Go, or Java Experience with MQTT and event-driven architectures Proven track record of building scalable data ingestion ...

grade data pipelines using Python and SQL Hands on experience with AWS data services such as S3, Redshift, Glue, Athena, and streaming technologies like Kinesis Experience working with large scale, high velocity event data and understanding the trade offs around cost, performance, and reliability Ability to think beyond implementation ...

NoSQL databases. Secure development practices. Git-based source control. Knowledge of CI automation systems such as Jenkins Bonus points for: Event streaming (e.g. Kafka, Kinesis) and change data capture (CDC). Messaging (e.g. RabbitMQ, SQS). Docker and Kubernetes. Solution and architecture design. Test-driven development (TDD). ...

/AWS/GCP) and data services Understanding of DevOps tools: Git, Jenkins, Docker, Kubernetes (optional) Familiar with messaging and streaming: Kafka, Event Hub, Kinesis Experience with monitoring tools (e.g., Grafana, Prometheus, CloudWatch) Soft Skills Strong analytical and problem solving abilities Excellent communication and stakeholder management Ability to work …/AWS/GCP) and data services Understanding of DevOps tools: Git, Jenkins, Docker, Kubernetes (optional) Familiar with messaging and streaming: Kafka, Event Hub, Kinesis Experience with monitoring tools (e.g., Grafana, Prometheus, CloudWatch) Soft Skills Strong analytical and problem solving abilities Excellent communication and stakeholder management Ability to work ...

Telemetry Pipelines Architect and operate real-time IoT data ingestion pipelines handling telemetry, logs, and events from thousands of devices. Implement processing workflows using Kinesis, Lambda, SQS, Kafka, Step Functions , or similar. Ensure data quality, schema governance, and reliability across ingestion and downstream data consumers. API Development Build … Required Skills & Experience Backend or platform engineering experience, ideally with IoT or distributed systems. Strong expertise in AWS , especially AWS IoT Core , Lambda, DynamoDB, Kinesis, SQS, API Gateway. Proficiency in languages such as Python, Node.js, Go, or Java . Hands-on experience with MQTT and event-driven IoT architectures. ...

billions of data points YOUR SKILLS AND EXPERIENCE You will bring strong capability in: Python and SQL AWS data infrastructure (S3, Redshift, Glue, Athena, Kinesis, Lambda) End-to-end ownership, from proof-of-concept through to production THE BENEFITS You will receive a salary ...

billions of data points YOUR SKILLS AND EXPERIENCE You will bring strong capability in: Python and SQL AWS data infrastructure (S3, Redshift, Glue, Athena, Kinesis, Lambda) End-to-end ownership, from proof-of-concept through to production THE BENEFITS You will receive a salary ...

Senior Data Engineer £70,000-£90,000 London (Hybrid) This is an exciting opportunity to join a growing tech scale-up where data is at the heart of their product. You will play a key ...

Senior Data Engineer £70,000-£90,000 Manchester (Hybrid) This is an exciting opportunity to join a growing tech scale-up where data is at the heart of their product. You will play a key ...