126 to 150 of 247 Amazon Kinesis Jobs in the UK

and budgets and delivering scalable, high-volume microservices and event-driven architecture platforms. Deep understanding of Agile, DevOps and the full software delivery lifecycle Technical proficiency across AWS services (Kinesis, Lambda, ECS, EventBridge, etc.) Strong grasp of modern engineering practices – CI/CD, cloud-native architecture, TDD, BDD Excellent communication, stakeholder engagement and leadership skills Passion for coaching and … developing engineering talent AWS (Kinesis, Lambda, ECS, CDK, EventBridge, CloudFormation) CI/CD pipelines, Jenkins, Jira, Confluence, Miro, Teams Want to work in a collaborative, inclusive, hybrid working culture that values autonomy and impact? Apply today and help shape the future of engineering at this amazing UK Brand More ❯

and budgets and delivering scalable, high-volume microservices and event-driven architecture platforms. Deep understanding of Agile, DevOps and the full software delivery lifecycle Technical proficiency across AWS services (Kinesis, Lambda, ECS, EventBridge, etc.) Strong grasp of modern engineering practices – CI/CD, cloud-native architecture, TDD, BDD Excellent communication, stakeholder engagement and leadership skills Passion for coaching and … developing engineering talent AWS (Kinesis, Lambda, ECS, CDK, EventBridge, CloudFormation) CI/CD pipelines, Jenkins, Jira, Confluence, Miro, Teams Want to work in a collaborative, inclusive, hybrid working culture that values autonomy and impact? Apply today and help shape the future of engineering at this amazing UK Brand More ❯

years of experience in data engineering, data architecture, or software engineering. Proficiency in Python and SQL Proficient in AWS data services such as S3, Glue, Athena, Redshift, EMR, Kinesis, Lambda, etc. Strong knowledge of data lake concepts, architectures, and design patterns. Experience in building and managing data pipelines using tools such as Airflow, Spark, Kinesis etc. Experience in More ❯

data sources, creating pipelines, and ideally a software engineering mindset. Excellent experience with Containers. Strong knowledge of Python, Airflow, SQL, and Linux. Proficient in AWS Lambda, ECS, Athena, S3, Kinesis, Glue, CloudWatch/Terraform/CDK, Tableau Online. They are particularly keen on Senior Data Engineers who utilize good AI-based tooling for productivity, such as Co-Pilot. The More ❯

for our contact center operations. Configure and manage call flows, IVR systems, queues, and routing profiles. Develop and integrate Lambda functions to extend AWS Connect functionality. Create and maintain Amazon Lex chatbots for interactive voice and chat experiences. Optimize contact center operations for efficiency, performance, and customer satisfaction. Collaborate with stakeholders to identify requirements and design appropriate solutions. Provide More ❯

and automated monitoring. Supporting both BAU and new feature development within the data engineering function. KEY SKILLS AND REQUIREMENTS Proven experience with AWS services including Lambda, API Gateway, S3, Kinesis, and CloudWatch. Strong programming ability in Python and data transformation skills using SQL and DBT. Experience with Airflow for orchestration and scheduling. Familiarity with third-party API integration and More ❯

and automated monitoring. Supporting both BAU and new feature development within the data engineering function. KEY SKILLS AND REQUIREMENTS Proven experience with AWS services including Lambda, API Gateway, S3, Kinesis, and CloudWatch. Strong programming ability in Python and data transformation skills using SQL and DBT. Experience with Airflow for orchestration and scheduling. Familiarity with third-party API integration and More ❯

Extensive experience in implementing solutions around the AWS cloud environment (S3, Databricks, Athena, Glue), In depth understanding of Workflows, Asset Bundles, SQS, EKS, Terraform, Excellent understanding of Data Modelling & Kinesis An understanding of SQL/database management. Strong hands-on experience in Data Warehouse and Data Lake technologies preferably around AWS. My client is providing access to; Hybrid More ❯

and best practices for deployment 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 with a passionate, experienced team More ❯

Extensive experience with cloud platforms (AWS, GCP, or 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 Whilst having More ❯

Extensive experience with cloud platforms (AWS, GCP, or 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 Whilst having More ❯

data engineering professional with a proven ability to lead and inspire teams. You bring deep technical skills in Python, SQL, and AWS services such as EC2, Redshift, Lambda and Kinesis, alongside strong stakeholder management and commercial awareness. You’ll also bring: Proven experience designing and implementing data pipelines, ETL processes, and warehousing in cloud environments. The ability to manage More ❯

data engineering professional with a proven ability to lead and inspire teams. You bring deep technical skills in Python, SQL, and AWS services such as EC2, Redshift, Lambda and Kinesis, alongside strong stakeholder management and commercial awareness. You’ll Also Bring Proven experience designing and implementing data pipelines, ETL processes, and warehousing in cloud environments. The ability to manage More ❯

be successful in this role: Experience developing, testing, and deploying data pipelines, data lakes, data warehouses, and data marts using ideally AWS services such as S3, Glue, Athena, EMR, Kinesis, and Lambda Understanding of the principles behind designing and implementing data lake, lake house and/or data mesh architecture Problem solving skill with basic knowledge of the change More ❯

Job Description My client, based in the London area, is currently looking to recruit an experienced AWS Databricks Data Architect to join their team. They are a leader within the consulting space and are experiencing growth, backed by a large More ❯

Data Engineer, Amazon Web Services, AWS Data Platform AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC … specialized security solutions for their cloud services. Each day, thousands of developers make trillions of transactions worldwide on our cloud. Almost all of them are harnessing the power of Amazon Web Services (AWS) to enable innovative applications, websites, and businesses. We store all these transactions for analysis and reporting. Amazon Web Services is seeking a Data Engineer to … BASIC QUALIFICATIONS - 3+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines PREFERRED QUALIFICATIONS - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience with non-relational databases/data stores (object storage, document or key-value stores, graph databases, column-family databases) Our inclusive More ❯

Amazon’s Consumer Payments organization is seeking a highly quantitative, experienced Data Engineer to drive growth through analytics, automation of data pipelines, and enhancement of self-serve experiences. You will succeed in this role if you are an organized self-starter who can learn new technologies quickly and excel in a fast-paced environment. In this position, you will … BASIC QUALIFICATIONS - 3+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines PREFERRED QUALIFICATIONS - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience with non-relational databases/data stores (object storage, document or key-value stores, graph databases, column-family databases) Our inclusive … content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. #J-18808-Ljbffr More ❯

The Amazon Pricing & Promotions Analytics team seeks a Senior Data Engineer to build automated pricing solutions that deliver competitive prices to customers. In this role, you will design and implement data analytics solutions that drive pricing decisions while creating automated anomaly detection systems to monitor pricing effectiveness. Your responsibilities include analyzing customer behavior patterns to inform pricing strategy and … developing actionable insights for senior leadership to guide business decisions. You will partner with stakeholders to implement data-driven pricing recommendations. Your work will directly impact Amazon's pricing strategy and customer experience. The position requires expertise in data analysis and a track record of translating complex data into clear business recommendations. Key job responsibilities - Design and implement modern … data pipelines and business intelligence solutions - Configure and optimize AWS services including EC2, RDS, Redshift, Kinesis, EMR, and Lambda - Create scalable data architecture to support analytics, data science, and customer reporting needs - Collaborate with technology teams to develop ETL processes across multiple data sources - Automate reporting systems and enhance self-service analytics capabilities for customers About the team The More ❯

Senior Delivery Consultant -Data Analytics & GenAI, AWS Professional Services Public Sector Job ID: 2981201 | Amazon Web Services Australia Pty Ltd Are you a Senior Data Analytics and GenAI consulting specialist? Do you have real-time Data Analytics, Data Warehousing, Big Data, Modern Data Strategy, Data Lake, Data Engineering and GenAI experience? Do you have senior stakeholder engagement experience to … decisions and desired customer outcomes. 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), Amazon Kinesis, Amazon Redshift, Amazon Athena, AWS Lake Formation … Amazon DataZone, Amazon SageMaker, Amazon Quicksight and Amazon Bedrock. Solutions: Support pre-sales and 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 of AWS services to support new distributed computing More ❯

Senior Delivery Consultant: Data Analytics & GenAI Job ID: Amazon Web Services Australia Pty Ltd Are you a Senior Data Analytics and GenAI consulting specialist? Do you have real-time Data Analytics, Data Warehousing, Big Data, Modern Data Strategy, Data Lake, Data Engineering and GenAI experience? Do you have senior stakeholder engagement experience to support pre-sales and deliver consulting … Vetting Agency clearance (see ). 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), Amazon Kinesis, Amazon Redshift, Amazon Athena, AWS Lake Formation … Amazon DataZone, Amazon SageMaker, Amazon Quicksight and Amazon Bedrock. Solutions: Support pre-sales and 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 of AWS services to support new distributed computing More ❯

Have you ever ordered a product from Amazon and been amazed at how fast it gets to you? Every day Amazon engineers are relentlessly working to decrease the time between Click to Deliver for your products. The Amazon Fulfillment Technologies (AFT) team owns all of the software and infrastructure which powers Amazon's world-class fulfillment … business demand for data, and use it to deliver the data as service which will have an immediate influence on day-to-day decision-making at About the team Amazon Fulfillment Technologies (AFT) powers Amazon's global fulfillment network. We invent and deliver software, hardware, and data science solutions that orchestrate processes, robots, machines, and people. We harmonize … the physical and virtual world so Amazon customers can get what they want, when they want it. BASIC QUALIFICATIONS - 3+ years of data engineering experience - 4+ years of SQL experience - Experience with data modeling, warehousing and building ETL pipelines PREFERRED QUALIFICATIONS - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and More ❯

Social network you want to login/join with: The EU Amazon Vendor Services (AVS) and Retail Vendor Experience (VX) Program teams are seeking a Data Engineer to design and implement scalable data solutions and pipelines that can meaningfully contribute to both programs. This role is pivotal in addressing major challenges that enhance vendor success, satisfaction, and growth on … Amazon, contributing directly to our long-term strategy. Amazon’s mission is to be Earth’s most customer-centric company, where customers can discover anything they want to buy online at competitive prices, with vast selection and convenience. Core to this mission is our commitment to delighting not only customers but also vendors by inventing scalable solutions that … WW VX programme focuses on creating a globally preferred, trusted, and efficient vendor experience across all touchpoints. Both programmes are essential inputs for improving the end-customer experience and Amazon’s long-term free cash flow. Key job responsibilities This role will sit within a data and analytics team supporting two large program teams (EU AVS and VX) while More ❯

Job ID: Amazon EU SARL (UK Branch) The EU Amazon Vendor Services (AVS) and Retail Vendor Experience (VX) Program teams are seeking a Data Engineer to design and implement scalable data solutions and pipelines that can meaningfully contribute to both programs. This role is pivotal in addressing major challenges that enhance vendor success, satisfaction, and growth on Amazon, contributing directly to our long-term strategy. Amazon's mission is to be Earth's most customer-centric company, where customers can discover anything they want to buy online at competitive prices, with vast selection and convenience. Core to this mission is our commitment to delighting not only customers but also vendors by inventing scalable solutions that exceed … WW VX programme focuses on creating a globally preferred, trusted, and efficient vendor experience across all touchpoints. Both programmes are essential inputs for improving the end-customer experience and Amazon's long-term free cash flow. Key job responsibilities This role will sit within a data and analytics team supporting two large program teams (EU AVS and VX) while More ❯

Amazon Last Mile DSP is seeking an extraordinary Data Engineer to join the DSP Analytics team. At Amazon, we are working to be the most customer-centric company on earth -- including how we fulfill and deliver customer orders. The goal of Amazon’s Service Partner (DSP) Team is to exceed the expectations of our customers by ensuring … that their orders, no matter how large or small, are delivered as quickly, accurately, and cost effectively as possible. To meet this goal, Amazon is continually striving to innovate and provide best in class experience through the introduction of pioneering new products and services in the last mile space. This person will play a key role in providing the … leverage new cloud architectures, and will extend or migrate existing data pipelines to these architectures as needed. You will be responsible for designing and implementing complex data pipelines in Amazon's platform and other BI solutions to support the rapidly growing and dynamic business demand for data, and use it to deliver data-driven insights that will have an More ❯

Amazon IN Platform Development team is looking to hire a rock star Data/BI Engineer to build for pan Amazon India businesses. Amazon India is at the core of hustle @ Amazon WW today and the team is charted with democratizing data access for the entire marketplace & add productivity. That translates to owning the processing of … every Amazon India transaction, for which the team is organized to have dedicated business owners & processes for each focus area. The BI Engineer will play a key role in contributing to the success of each focus area, by partnering with respective business owners and leveraging data to identify areas of improvement & optimization. He/She will build deliverables like … teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies - Be enthusiastic about building deep domain knowledge about Amazon’s business. - Must possess strong verbal and written communication skills, be self-driven, and deliver high quality results in a fast-paced environment. - Enjoy working closely with your peers More ❯