the latest data analytics technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing? At Amazon Web Services, we're hiring highly technical cloud architect specialised in data analytics to collaborate with our customers and partners to derive business value … Key job responsibilities Expertise - Collaborate with pre-sales and delivery teams to help partners and customers learn and use services such as AWS Glue, Amazon S3, Amazon DynamoDB, Amazon Relational Database Service (RDS), Amazon Elastic Map Reduce (EMR), AmazonKinesis, Amazon Redshift, Amazon Athena, AWS Lake Formation, Amazon DataZone, Amazon SageMaker and Amazon Quicksight. Solutions - Deliver technical engagements with partners and customers. This includes participating in pre-sales visits, understanding customer requirements, creating consulting proposals and creating packaged data analytics service offerings. Delivery - Engagements include projects proving the use More ❯
that address complex business requirements and drive decision-making. Your skills and experience Proficiency with AWS Tools: Demonstrable experience using AWS Glue, AWS Lambda, AmazonKinesis, Amazon EMR , Amazon Athena, Amazon DynamoDB, Amazon Cloudwatch, Amazon SNS and AWS Step Functions. Programming Skills: Strong More ❯
Telecom Support Engineer, Amazon Connect Want to disrupt an industry by delighting customers? Looking for a job where your work can have direct and massive impact? Excited to join one of the newest and most exciting AWS services? Come be a leader on a team that is building a … product that will touch millions of people daily. Amazon Connect is a highly disruptive cloud-based contact center that enables businesses to deliver engaging, dynamic, and personal customer service experiences. Amazon Connect is the result of the ten years of development that went into building the tools Amazon uses to provide its award winning customer service at massive scale and launching it as a publicly available AWS service. With Amazon Connect, you can create your own cloud-based contact center and be taking calls in minutes. Amazon Connect leverages the power of Artificial Intelligence and More ❯
al.) and a clear understanding of when not to use them. Experience with message queues (SQS, PubSub, RabbitMQ etc.) and data pipelines (Kafka, Beam, Kinesis, etc.) You are an effective team player with effective communication, presentation and influencing skills. You have a passion for improving coding and development practices. More ❯
web application development with Node.js, TypeScript, React.js, Next.js, and React Native. Experience with AWS Serverless Services (Lambda, API Gateway, DynamoDB, S3, SNS, SQS, EventBridge, Kinesis). 5+ years of commercial development experience. Ability to provide technical leadership and mentorship to the team. Proficiency in TypeScript, with a bonus if More ❯
london, south east england, United Kingdom Hybrid / WFH Options
La Fosse
web application development with Node.js, TypeScript, React.js, Next.js, and React Native. Experience with AWS Serverless Services (Lambda, API Gateway, DynamoDB, S3, SNS, SQS, EventBridge, Kinesis). 5+ years of commercial development experience. Ability to provide technical leadership and mentorship to the team. Proficiency in TypeScript, with a bonus if More ❯
tech budgets in relation to the value created by the team within the business Our Tech Stack Cloud Data Warehouse - Snowflake AWS Data Solutions - Kinesis, SNS, SQS, S3, ECS, Lambda Data Governance & Quality - Collate & Monte Carlo Infrastructure as Code - Terraform Data Integration & Transformation - Python, DBT, Fivetran, Airflow CI/ More ❯
a lot. It's not exhaustive, but gives you a taste of what our stack and tools look like: React, Node.js; Heroku; AWS Lambda, Kinesis, and DynamoDB Handlebars; Sass; Webpack; Preact Fastly and VCL Github; CircleCI; Open Telemetry; Grafana; Splunk We don't expect you to have worked with More ❯
modules such as Spring Data, Security, and Cloud), Microservice Architecture, and SQL/NoSQL databases. Proficiency with ORM frameworks (e.g., Hibernate), messaging tools (Kafka, Kinesis, Redis), and cloud infrastructure technologies (AWS, Docker, Kubernetes, Terraform). Strong understanding of CI/CD pipelines, observability tools (e.g., DataDog), and Agile and More ❯
Amazon Marketing team is working on a platform that will provide real-time insights of traffic, sales, deals, engagement and is looking for a rock star data engineer to build this. At Amazon, understanding customer data is paramount to our success in making it Earth's most measurably … effective marketing organization. This cuts across all of the investments we do across various verticals of A.in, Prime, Fashion, Fresh, Pay etc. At Amazon you will be working in one of the world's largest and most complex data environments. You will be part of a team that will … work with the marketing, retail, finance, analytics, machine learning, and technology teams to provide real-time data processing solutions that give Amazon leadership, marketers, and PMs timely, flexible, and structured access to customer insights. The team will be responsible for building this platform end to end using the latest More ❯
City of London, London, United Kingdom Hybrid / WFH Options
RP Recruitment Ltd
financial services , fintech , or other regulated domains. Exposure to infrastructure-as-code (Terraform, CloudFormation). Familiarity with data pipelines or streaming systems (e.g., Kafka, Kinesis). Contributions to open source or community involvement. What We Offer Competitive salary and equity package Flexible working hours and remote-friendly culture Personal More ❯
PyNum, boto3, PyTest, Kafka, RabbitMQ, etc. Knowledge of pandas is a plus. AWS: Experience with AWS services like Lambda, S3, ECS, SNS, SQS, CloudWatch, Kinesis for application development. Databases: Experience with NoSQL databases (MongoDB, DynamoDB) and RDBMS (MySQL, PostgreSQL). Microservice Architecture: Clear understanding and experience in microservices design More ❯
Proficiency in Go and Python programming languages Extensive experience with Terraform and infrastructure as code (IaC) principles Strong knowledge of AWS services, including ECS, Kinesis, DynamoDB, and Lambda Proficiency in CI/CD tools, particularly Jenkins and Spinnaker Familiarity with monitoring and observability tools such as CloudWatch and Datadog More ❯
structured and unstructured data from multiple sources, ensuring efficient data ingestion, transformation, and storage. Develop and optimize data lake and data warehouse solutions using Amazon S3, Redshift, Athena, and Lake Formation. Implement data governance, security, and compliance best practices, including IAM roles, encryption, and access controls. Monitor and optimize More ❯
experience in Java development with strong Spring Boot expertise. Solid background in building cloud-native applications , particularly using AWS services such as S3, SQS, Kinesis, or Apache Flink. Strong knowledge of stream processing , low-latency systems, and microservice architectures. Demonstrated leadership experience, including mentoring and guiding junior developers. Proficient More ❯
experience in Java development with strong Spring Boot expertise. Solid background in building cloud-native applications , particularly using AWS services such as S3, SQS, Kinesis, or Apache Flink. Strong knowledge of stream processing , low-latency systems, and microservice architectures. Demonstrated leadership experience, including mentoring and guiding junior developers. Proficient More ❯
Job ID: AWS EMEA SARL (UK Branch) Amazon Web Services (AWS) is the leading cloud provider, providing virtualized infrastructure, storage, networking, messaging, and many other services to customers all over the world. AWS runs a globally distributed environment, operating at massive levels of scale. Businesses, from start-ups to … enterprises, run their operations and applications on AWS' multi-tenant infrastructure. About Amazon Security Diverse Experiences Amazon Security values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is … just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why Amazon Security? At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar More ❯
Skills Required Knowledge of pipelines or real-time streaming data (e.g., Kafka, Kinesis). Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes). Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation). Experience with development, ETL tools, and frameworks (e.g., Apache Airflow, Talend, Fivetran). Proficiency in More ❯
high throughput, scalable, resilient, and secure data pipelines. Experience with AWS technologies: Glue, Athena, S3, Step Functions, Lambda, RDS (Aurora Postgres), DMS, Redshift, QuickSight, Kinesis Firehose. Expert knowledge of SQL. Hands-on experience with Kafka. Hands-on experience with Terraform. Hands-on experience with Python in a Data Analytics More ❯
have: Software engineering background Exposure to building or deploying AI/ML models into a production environment Previously used AWS data services e.g. S3, Kinesis, Glue, Athena, DynamoDB, SNS/SQS Experience using any data streaming technologies/paradigms for real-time or near-real time analytics More ❯
have: Software engineering background Exposure to building or deploying AI/ML models into a production environment Previously used AWS data services e.g. S3, Kinesis, Glue, Athena, DynamoDB, SNS/SQS Experience using any data streaming technologies/paradigms for real-time or near-real time analytics More ❯
at scale Excellent communication skills and the ability to work independently in a remote environment ? Bonus Points: Experience with real-time data streaming (Kafka, Kinesis) Exposure to data governance and security best practices in cloud environments Previous work in a high-compliance industry (finance, healthcare, etc.) Why Join? Work More ❯
Have excellent knowledge of AWS services (ECS, IAM, EC2, S3, DynamoDB, MSK). Our Technology Stack: Python and Scala Starburst and Athena Kafka and Kinesis DataHub ML Flow and Airflow Docker and Terraform Kafka, Spark, Kafka Streams and KSQL DBT AWS, S3, Iceberg, Parquet, Glue and EMR for our More ❯
enterprise data and one other business domain. Building and orchestrating data pipelines and analytical processing for streaming data with technologies such as Kafka, AWS Kinesis or Azure Stream Analytics. Knowledge of data governance, privacy regulations (e.g. GDPR), and security best practices. Delivering data engineering and designing for cloud native More ❯
