12 of 12 Amazon Kinesis Jobs in the South East

Desirable Skills for the Senior Data Engineer: Experience with event sourcing, dbt, or related data transformation tools Familiarity with PostgreSQL and cloud-native data services (Azure Event Hub, Redshift, Kinesis, S3, Blob Storage, OneLake, or Microsoft Fabric) Understanding of machine learning model enablement and operationalisation within data architectures Experience working within Agile delivery environments If you are an experienced 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 ❯

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 ❯

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 ❯

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 ❯

stakeholders Technical skills (a big plus): Knowledge of deep learning frameworks (PyTorch, TensorFlow), transformers, or LLMs Familiarity with MLOps tools (MLflow, SageMaker, Airflow, etc.) Experience with streaming data (Kafka, Kinesis) and distributed computing (Spark, Dask) Skills in data visualization apps (Streamlit, Dash) and dashboarding (Tableau, Looker) Domain experience in forecasting, optimisation, or geospatial analytics We would like to talk More ❯

languages Proven experience building and operating scalable distributed systems and services within AWS cloud infrastructure or similar technologies. Designed and implemented distributed, event-driven systems using Kafka Streams, AWS Kinesis, or similar. Optimize for low-latency and high-throughput processing (1M+ TPS) microservices. Implemented auto-scaling , blue-green deployments , and canary releases and Build and maintain SLAs, SLOs, and More ❯

languages Proven experience building and operating scalable distributed systems and services within AWS cloud infrastructure or similar technologies. Designed and implemented distributed, event-driven systems using Kafka Streams, AWS Kinesis, or similar. Optimize for low-latency and high-throughput processing (1M+ TPS) microservices. Implemented auto-scaling , blue-green deployments , and canary releases andBuild and maintain SLAs, SLOs, and SLIs 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 ❯

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 ❯

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 ❯

governance across AWS and Snowflake platforms. Lead the design of data lakes, data warehouses, and real-time data pipelines using AWS-native tools such as Glue, Redshift, S3, Lambda, Kinesis, and Athena. Project Leadership & Delivery Manage and deliver complex data architecture projects, providing technical leadership to cross-functional teams. Collaborate with business stakeholders, data engineers, and analysts to understand … experience in data architecture, including at least 3 years in a cloud-native environment. Proven expertise with AWS cloud services , including but not limited to: S3, Glue, Redshift, Lambda, Kinesis, Athena, Lake Formation. Strong hands-on experience with Snowflake - architecture, performance tuning, security, and data sharing features. Proficient in data modelling, data integration (ETL/ELT), and metadata management. More ❯