1 to 25 of 31 Amazon Kinesis Jobs in the UK

people with extensive commercial experience with AWS Glue, developing Glue Jobs using PySpark and Python, AWS Glue Data Catalog, Crawlers, Workflows and triggers, Amazon S3 data lake implementation and management, AWS IAM roles, policies and security best practice. You will also need experience with several of the following: Amazon Redshift, AWS Lambda, Amazon Athena, Amazon RDS, Amazon EMR, Amazon EventBridge, Amazon Kinesis, AWS Step Functions, Amazon SQS/SNS and AWS CloudWatch. These roles are outside IR35 and will require you to be onsite 3 days a week. All candidates must ...

play a key role in supporting and developing the technology that underpins our global service operations.About the RoleWe're looking for an experienced Amazon Customer Connect & Service Platform Specialist to join our Service Assurance team.This is a hands-on technical role that will take ownership of our Amazon … Product teams, and with our partner through a planned handover.What You'll Be DoingLead In-House Transition: Carry out the technical handover of Amazon Customer Connect from our third-party delivery partner, working to the plan set by our transition lead: absorb the knowledge, take over access, and confirm ...

translate business requirements into scalable technical solutions Desirable Experience AWS Data Services (Glue, EMR, Lambda, S3, Athena, Redshift) Streaming technologies such as Kafka or Kinesis Data modelling and metadata management AI/ML data pipelines and feature engineering Geospatial, sensor, operational or intelligence-related datasets Experience working within Defence ...

across: Batch data processing, ELT and orchestration. Modern streaming technologies such as Flink or comparable platforms. AWS data services, including S3, Lambda, Glue, Athena, Kinesis and RDS. Infrastructure as code using Terraform. CI/CD and automated testing. Lakehouse architecture and open table formats such as Iceberg. Medallion architecture ...

Develop and support real-time streaming pipelines and event-driven integrations. Integrate data from multiple sources (streaming, batch, APIs) using AWS managed services (e.g., Kinesis, MSK, Lambda, Glue). Data Architecture & Standards Contribute to data modelling, data architecture best practices, and modern patterns (e.g., medallion architecture). Ensure data ...

focused on building scalable, secure and high-performing solutions that support analytics, AI, and enterprise reporting. Key Skills Required AWS (S3, Glue, Redshift, Athena, Kinesis, Lambda) Data Lake & Lakehouse architectures ETL/ELT & data pipelines Python, SQL & PySpark Data modelling (Kimball, Data Vault) Data governance & security Terraform/CloudFormation ...

warehousing, ELT and orchestration. Modern streaming technologies such as Flink or comparable platforms. Production AWS data engineering. AWS services including S3, Lambda, Glue, Athena, Kinesis, RDS, IAM and CloudWatch. Lakehouse architectures and open table formats such as Iceberg. Medallion-style data layering and dimensional modelling. Strong SQL and Python ...

with SQLExperience with Data Warehouse databases like Snowflake/Redshift/BigQueryExperience with PythonPreferably have some knowledge of AWS and components such as S3, Kinesis, DMS, SNS, Glue, Athena, RDSExperience with implementing Rest APIs.Business Intelligence (BI) knowledge/experienceKnowledge on tools like Terraform, Airflow, DBT and HarnessModern data engineering ...

driven design (DDD), bounded contexts, data ownership, event-driven integration, eventual consistency and distributed transactions. Event Streaming: Hands-on experience designing and operating Kafka, Kinesis or equivalent platforms, including partitioning, ordering, event contracts, schema evolution, idempotency, replay, delivery guarantees, fault tolerance, security and operational support. Data Modelling & Storage: Strong ...

/or AWS certifications at Associate or Professional level. Streaming Architectures: Practical experience with real-time or event-driven streaming (Kafka/MSK, Kinesis, Spark Structured Streaming). Advanced Data Architectures: Exposure to Data Mesh concepts, data products, or federated data governance models. AI/ML Infrastructure: Exposure ...

with NVIDIA Omniverse, OpenUSD, or Unreal Engine.Cloud platform expertise across AWS, Azure, or GCP.Geospatial technologies including PostGIS, GeoJSON, Cesium, or GIS platforms.Experience with Kafka, Kinesis, or Pub/Sub.Exposure to edge computing technologies such as NVIDIA Jetson.Knowledge of robotics, ROS, industrial protocols, OPC-UA, or Modbus.Experience building dashboards ...

flows within a large enterpriseSolution architecture across Snowflake, DBT and SqlDBM, including data modelling and schema designAWS architecture, including EC2, RDS, databases, SQS, Kinesis, S3 and Lambda, plus familiarity with AzureExperience with real-time ingestion, streaming and processing technologies, API design, graph databases, and AI-enabled solutions including MCPFamiliarity ...

end.Technical Proficiency: Strong experience with Python for building backend services and data pipelines. Familiarity with AWS services (e.g. S3, RDS/Postgres, Kinesis, ECS, Lambda) and infrastructure tooling (Terraform).Data Ingestion: Experience designing pipelines that handle varied, schema-evolving, high-volume payloads reliably and at scale — including robust error ...

components . Build and maintain platform capabilities supporting batch and real-time data workloads . Develop and operate distributed data services using Kafka, Kinesis, Spark, Flink or equivalent technologies . Build and maintain cloud-native data platform capabilities using AWS and/or Azure . Support data ingestion, processing … . Strong programming experience using Java and/or Python . Hands-on experience with real-time streaming and event-driven architectures , including Kafka, Kinesis or equivalent. Experience with distributed data processing technologies such as Spark, Flink, Kafka Streams or equivalent. Strong experience with AWS and/or Azure ...

Data Integration & Ingestion – Skill• Data Manipulation and Processing – Skill• GITHUB, Action, Azure DevOps – Skill• Data factory, Databricks, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, PyTest – SkillOptional skills:• Experience in project management, running a scrum team.• Experience working with BPC, Planning.• Exposure to working with external technical ...

platforms, and you’ll be expected to work across them. Any of the major clouds, with native services such as S3, Glue, Redshift and Kinesis on AWS, Data Factory, Synapse and Event Hubs on Azure, or BigQuery, Dataflow and Pub/Sub on GCP Databricks and Snowflake running ...

platforms, and you’ll be expected to work across them. Any of the major clouds, with native services such as S3, Glue, Redshift and Kinesis on AWS, Data Factory, Synapse and Event Hubs on Azure, or BigQuery, Dataflow and Pub/Sub on GCP Databricks and Snowflake running ...

data Have exposure to at least one cloud platform (AWS, Azure or GCP) and experience of associated technologies (for example with AWS: DynamoDB, Redshift, Kinesis Pipelines, Glue, Lambda, QuickSight, etc) Have experience with DataOps concepts Why join our client? Were building a culture where talented people can do meaningful ...

design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB), GraphQL and modern data warehouse tools including Snowflake and DataBricksAbility to think strategically and relate architectural decisions ...

experience of build tools – Maven and Gradle Knowledge and experience of relational DBMS – Postgresdb Knowledge of using AWS services via Terraform - Secrets Manager, Kinesis Firehose, S3, Open Search etc Knowledge and experience of configuring and using New Relic, Kibana for observing metrics and configuring alerts. Knowledge and experience ...

Proven experience developing and supporting Splunk detection rules and SPL queries. Experience with security data pipelines and log management technologies. Knowledge of S3, SQS, Kinesis, and cloud-based logging architectures. Understanding of security frameworks such as Zero Trust and identity-centric security models. Excellent communication and stakeholder management skills. ...

Proven experience developing and supporting Splunk detection rules and SPL queries. Experience with security data pipelines and log management technologies. Knowledge of S3, SQS, Kinesis, and cloud-based logging architectures. Understanding of security frameworks such as Zero Trust and identity-centric security models. Excellent communication and stakeholder management skills. ...

detail and problem-solving skills.Desirable Skills:Real-time systems/telemetry dashboards;IoT platforms;Robotics or autonomous system integration;Geospatial/mapping tools.Data streaming (Kinesis, Kafka)What we OfferWork life balance promoted with every other Friday off;30 days annual leave;Competitive rate of pay, reviewed annually;Enhanced Company ...

growing team, and you know when to ask for help.Bonus points forExperience with streaming or real-time data (such as Kafka or Kinesis)Exposure to CDPs, product analytics or customer data toolingPython, or experience presenting analysis in notebooksExperience selling into retail, media, iGaming or financial servicesWhat ...

production deployment and optimisation2. Architect and implement advanced solutions leveraging AWS's AI/ML services, with particular focus on Generative AI using Amazon Bedrock and SageMaker3. Provide technical leadership and mentorship to junior consultants while driving best practices across delivery teams4. Partner with customers to translate business challenges … your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that ...