1 to 25 of 61 Amazon Kinesis Jobs in London

sensitive environments. Desirable skills: AWS Certified Solutions Architect – Professional or equivalent Experience with data mesh, data product thinking, or domain-driven design Exposure to real-time data processing (e.g., Kinesis, Kafka) Experience in highly regulated industries such as banking or insurance Rewards & Benefits TCS is consistently voted a Top Employer in the UK and globally. Our competitive salary packages More ❯

sensitive environments. Desirable skills: AWS Certified Solutions Architect – Professional or equivalent Experience with data mesh, data product thinking, or domain-driven design Exposure to real-time data processing (e.g., Kinesis, Kafka) Experience in highly regulated industries such as banking or insurance Rewards & Benefits TCS is consistently voted a Top Employer in the UK and globally. Our competitive salary packages More ❯

sensitive environments. Desirable skills: AWS Certified Solutions Architect – Professional or equivalent Experience with data mesh, data product thinking, or domain-driven design Exposure to real-time data processing (e.g., Kinesis, Kafka) Experience in highly regulated industries such as banking or insurance Rewards & Benefits TCS is consistently voted a Top Employer in the UK and globally. Our competitive salary packages More ❯

sensitive environments. Desirable skills: AWS Certified Solutions Architect – Professional or equivalent Experience with data mesh, data product thinking, or domain-driven design Exposure to real-time data processing (e.g., Kinesis, Kafka) Experience in highly regulated industries such as banking or insurance Rewards & Benefits TCS is consistently voted a Top Employer in the UK and globally. Our competitive salary packages More ❯

including S3, Redshift, Glue, Lambda Familiarity with data warehousing (Redshift, Snowflake, BigQuery) Experience with workflow orchestration tools (Airflow, Dagster, Prefect) Understanding of distributed systems, batch and streaming data (Kafka, Kinesis) Knowledge of IaC (Terraform, CloudFormation) and containerisation (Docker, Kubernetes) Nice to have: Experience with dbt, feature stores, or ML pipeline tooling Familiarity with Elasticsearch or real-time analytics (Flink More ❯

including S3, Redshift, Glue, Lambda Familiarity with data warehousing (Redshift, Snowflake, BigQuery) Experience with workflow orchestration tools (Airflow, Dagster, Prefect) Understanding of distributed systems, batch and streaming data (Kafka, Kinesis) Knowledge of IaC (Terraform, CloudFormation) and containerisation (Docker, Kubernetes) Nice to have: Experience with dbt, feature stores, or ML pipeline tooling Familiarity with Elasticsearch or real-time analytics (Flink More ❯

including S3, Redshift, Glue, Lambda Familiarity with data warehousing (Redshift, Snowflake, BigQuery) Experience with workflow orchestration tools (Airflow, Dagster, Prefect) Understanding of distributed systems, batch and streaming data (Kafka, Kinesis) Knowledge of IaC (Terraform, CloudFormation) and containerisation (Docker, Kubernetes) Nice to have: Experience with dbt, feature stores, or ML pipeline tooling Familiarity with Elasticsearch or real-time analytics (Flink More ❯

including S3, Redshift, Glue, Lambda Familiarity with data warehousing (Redshift, Snowflake, BigQuery) Experience with workflow orchestration tools (Airflow, Dagster, Prefect) Understanding of distributed systems, batch and streaming data (Kafka, Kinesis) Knowledge of IaC (Terraform, CloudFormation) and containerisation (Docker, Kubernetes) Nice to have: Experience with dbt, feature stores, or ML pipeline tooling Familiarity with Elasticsearch or real-time analytics (Flink More ❯

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 ❯

betting, gaming, or a similar high-volume data environment. Strong coding skills in Python and advanced SQL expertise. Hands-on experience with AWS data tools (S3, Glue, Lambda, Redshift, Kinesis, etc.). Proficiency with Power BI (or equivalent data visualisation tools). Solid experience building and supporting data models for forecasting, pricing, or predictive analytics. Strong communication and stakeholder More ❯

betting, gaming, or a similar high-volume data environment. Strong coding skills in Python and advanced SQL expertise. Hands-on experience with AWS data tools (S3, Glue, Lambda, Redshift, Kinesis, etc.). Proficiency with Power BI (or equivalent data visualisation tools). Solid experience building and supporting data models for forecasting, pricing, or predictive analytics. Strong communication and stakeholder More ❯

betting, gaming, or a similar high-volume data environment. Strong coding skills in Python and advanced SQL expertise. Hands-on experience with AWS data tools (S3, Glue, Lambda, Redshift, Kinesis, etc.). Proficiency with Power BI (or equivalent data visualisation tools). Solid experience building and supporting data models for forecasting, pricing, or predictive analytics. Strong communication and stakeholder More ❯

risk workflows. What you’ll bring Proven experience as a Data Engineer within financial services, ideally hedge funds or buy-side. Strong expertise in AWS (S3, Glue, Lambda, Redshift, Kinesis, etc.). Advanced skills in Python and SQL for building pipelines and optimising performance. Hands-on experience with Power BI for data visualisation and reporting. Strong understanding of equities More ❯

risk workflows. What you’ll bring Proven experience as a Data Engineer within financial services, ideally hedge funds or buy-side. Strong expertise in AWS (S3, Glue, Lambda, Redshift, Kinesis, etc.). Advanced skills in Python and SQL for building pipelines and optimising performance. Hands-on experience with Power BI for data visualisation and reporting. Strong understanding of equities More ❯

reusable Implement schemas, contracts, and observability Support compliance with global data regulations What you’ll bring Good working experience in data engineering Hands-on with Kafka/Pulsar/Kinesis Strong SQL & relational DBs (Postgres/MySQL) Coding experience in Java/Scala Cloud (AWS preferred) + Infrastructure-as-Code familiarity Solid understanding of ETL/ELT and data More ❯

and reusable Implement schemas, contracts, and observability Support compliance with global data regulations What youll bring Good working experience in data engineering Hands-on with Kafka/Pulsar/Kinesis Strong SQL & relational DBs (Postgres/MySQL) Coding experience in Java/Scala Cloud (AWS preferred) + Infrastructure-as-Code familiarity Solid understanding of ETL/ELT and data More ❯

deliver solutions for high availability and reliability What We’re Looking For Experience 4+ years in a senior technical role, ideally within data engineering AWS stack: S3, EMR, EC2, Kinesis, Firehose, Flink/MSF Python & SQL Security and risk management frameworks Excellent communication and collaboration skills Desirable Event streaming and event streaming analytics in real-world applications, or some More ❯

deliver solutions for high availability and reliability What We’re Looking For Experience 4+ years in a senior technical role, ideally within data engineering AWS stack: S3, EMR, EC2, Kinesis, Firehose, Flink/MSF Python & SQL Security and risk management frameworks Excellent communication and collaboration skills Desirable Event streaming and event streaming analytics in real-world applications, or some More ❯

deliver solutions for high availability and reliability What We’re Looking For Experience 4+ years in a senior technical role, ideally within data engineering AWS stack: S3, EMR, EC2, Kinesis, Firehose, Flink/MSF Python & SQL Security and risk management frameworks Excellent communication and collaboration skills Desirable Event streaming and event streaming analytics in real-world applications, or some More ❯

deliver solutions for high availability and reliability What We’re Looking For Experience 4+ years in a senior technical role, ideally within data engineering AWS stack: S3, EMR, EC2, Kinesis, Firehose, Flink/MSF Python & SQL Security and risk management frameworks Excellent communication and collaboration skills Desirable Event streaming and event streaming analytics in real-world applications, or some More ❯

tools (Airflow, dbt, Dagster, or Prefect). Solid understanding of cloud data platforms (AWS, GCP, or Azure) and data warehousing (Snowflake, BigQuery, Redshift). Experience with streaming technologies (Kafka, Kinesis, or similar). Strong knowledge of data modelling, governance, and architecture best practices . Excellent leadership, communication, and stakeholder management skills. NICE TO HAVE: Background in data management, engineering More ❯

tools (Airflow, dbt, Dagster, or Prefect). Solid understanding of cloud data platforms (AWS, GCP, or Azure) and data warehousing (Snowflake, BigQuery, Redshift). Experience with streaming technologies (Kafka, Kinesis, or similar). Strong knowledge of data modelling, governance, and architecture best practices . Excellent leadership, communication, and stakeholder management skills. NICE TO HAVE: Background in data management, engineering More ❯

tools (Airflow, dbt, Dagster, or Prefect). Solid understanding of cloud data platforms (AWS, GCP, or Azure) and data warehousing (Snowflake, BigQuery, Redshift). Experience with streaming technologies (Kafka, Kinesis, or similar). Strong knowledge of data modelling, governance, and architecture best practices . Excellent leadership, communication, and stakeholder management skills. NICE TO HAVE: Background in data management, engineering More ❯

tools (Airflow, dbt, Dagster, or Prefect). Solid understanding of cloud data platforms (AWS, GCP, or Azure) and data warehousing (Snowflake, BigQuery, Redshift). Experience with streaming technologies (Kafka, Kinesis, or similar). Strong knowledge of data modelling, governance, and architecture best practices . Excellent leadership, communication, and stakeholder management skills. NICE TO HAVE: Background in data management, engineering More ❯

orchestration tools (Airflow, dbt, Dagster, Prefect) Strong knowledge of cloud data platforms (AWS, GCP, or Azure) and data warehousing (Snowflake, BigQuery, Redshift) Hands-on experience with streaming technologies (Kafka, Kinesis, or similar) Solid understanding of data modelling, governance, and architecture best practices Familiarity with machine learning pipelines or AI model integration TO BE CONSIDERED... Please either apply by clicking More ❯