17 of 17 Amazon Kinesis Jobs in the City of London

Looking For: Experience in modern 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 you have experience using Terraform. More ❯

or gRPC Exposure to monitoring/logging tools (e.g., CloudWatch, ELK, Prometheus) Knowledge of security best practices in API and cloud development Familiarity with data streaming using Kafka or Kinesis More ❯

Vlocity, and external systems Machine Learning Models via Vertex AI (GCP) AWS Glue + Lambda + Step Functions : Batch ETL workflows Kafka (Confluent Cloud) : Real-time feature streams ingestion Kinesis Streams + Firehose : Traceability and telemetry routing Cloud Storage (S3, GCP buckets) : Configuration, logs, traceability data Envoy Proxy + ALB + WAF : TLS termination, authentication, traffic routing CloudWatch/ More ❯

background in software and data engineering leadership Proficient in Python, SQL, and modern ELT practices (e.g. dbt, Fivetran, Airflow) Deep knowledge of data warehousing (Snowflake), AWS services (e.g. Lambda, Kinesis, S3), and IaC (Terraform) Experienced in building data platforms with a focus on governance, reliability, and business value Comfortable driving architectural conversations and mentoring engineers across disciplines Advocate for More ❯

will need • 3+ years of professional Scala development • Solid grasp of functional programming and concurrency (Cats, ZIO or similar). • Production experience with message queues or streaming platforms (Kafka, Kinesis, Pulsar). • Cloud deployment know‐how – AWS preferred (Docker, Kubernetes, Terraform a plus). • Genuine interest in live sports and turning fast data into insights. Find out more If 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 ❯

Nice to Have: Experience with data lake architectures (Delta Lake, Lakehouse). Familiarity with BI/visualization tools (Tableau, Power BI, Looker). Knowledge of streaming data tools (Kafka, Kinesis). Background in supporting ML/AI pipelines or data science environments. More ❯

will need • 3+ years of professional Scala development • Solid grasp of functional programming and concurrency (Cats, ZIO or similar). • Production experience with message queues or streaming platforms (Kafka, Kinesis, Pulsar). • Cloud deployment know‐how – AWS preferred (Docker, Kubernetes, Terraform a plus). • Genuine interest in live sports and turning fast data into insights. Find out more If More ❯

will need • 3+ years of professional Scala development • Solid grasp of functional programming and concurrency (Cats, ZIO or similar). • Production experience with message queues or streaming platforms (Kafka, Kinesis, Pulsar). • Cloud deployment know‐how – AWS preferred (Docker, Kubernetes, Terraform a plus). • Genuine interest in live sports and turning fast data into insights. Find out more If More ❯

specifically in Big Data processing services (Apache Spark, Beam or equivalent). In-depth knowledge on key technologies like Big Query/Redshift/Synapse/Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF etc. Excellent consulting experience and ability to design and build solutions, actively contribute to RfP response. Ability to … to lead and mentor the architects. Mandatory Skills [at least 2 Hyperscalers] GCP, AWS, Azure, Big data, Apache spark, beam on BigQuery/Redshift/Synapse, Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF Desirable Skills Designing Databricks based solutions for Azure/AWS, Jenkins, Terraform, StackDriver or any other DevOps tools More ❯

specifically in Big Data processing services (Apache Spark, Beam or equivalent). In-depth knowledge on key technologies like Big Query/Redshift/Synapse/Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF etc. Excellent consulting experience and ability to design and build solutions, actively contribute to RfP response. Ability to … to lead and mentor the architects. Mandatory Skills [at least 2 Hyperscalers] GCP, AWS, Azure, Big data, Apache spark, beam on BigQuery/Redshift/Synapse, Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF Desirable Skills Designing Databricks based solutions for Azure/AWS, Jenkins, Terraform, StackDriver or any other DevOps tools More ❯

specifically in Big Data processing services (Apache Spark, Beam or equivalent). In-depth knowledge on key technologies like Big Query/Redshift/Synapse/Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF etc. Excellent consulting experience and ability to design and build solutions, actively contribute to RfP response. Ability to … and mentor the architects. Required Skills : Mandatory Skills [at least 2 Hyperscalers]: GCP, AWS, Azure, Big data, Apache spark, beam on BigQuery/Redshift/Synapse, Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF. Preferred Skills : Designing Databricks based solutions for Azure/AWS, Jenkins, Terraform, StackDriver or any other DevOps tools. More ❯

specifically in Big Data processing services (Apache Spark, Beam or equivalent). In-depth knowledge on key technologies like Big Query/Redshift/Synapse/Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF etc. Excellent consulting experience and ability to design and build solutions, actively contribute to RfP response. Ability to … to lead and mentor the architects. Mandatory Skills [at least 2 Hyperscalers] GCP, AWS, Azure, Big data, Apache spark, beam on BigQuery/Redshift/Synapse, Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF Desirable Skills: Designing Databricks based solutions for Azure/AWS, Jenkins, Terraform, StackDriver or any other DevOps tools More ❯

Data Modeling Data Integration & Ingestion Data Manipulation & Processing Version Control & DevOps: Skilled in GitHub, GitHub Actions, Azure DevOps Azure Data Factory, Databricks, SQL DB, Synapse, Stream Analytics Glue, Airflow, Kinesis, Redshift SonarQube, PyTest If you're ready to take on a new challenge and shape data engineering in a trading-first environment, submit your CV today to be considered. More ❯

and streaming jobs. Required Skills & Qualifications 3+ years of experience in data engineering or backend development. Strong programming skills in Python, Java, or Scala. Hands-on experience with Kafka, Kinesis, or similar messaging systems. Familiarity with stream processing frameworks like Flink, Kafka Streams, or Spark Structured Streaming. Solid understanding of event-driven design patterns (e.g., event sourcing, CQRS). More ❯

SQL, and modern ETL tools (e.g., Airflow, dbt) Solid grasp of cloud platforms (AWS/GCP/Azure) and data warehouses (e.g., BigQuery, Snowflake) Familiarity with streaming technologies (Kafka, Kinesis, etc.) Passion for clean, maintainable code and robust data systems Previous experience in a fintech or regulated environment is a plus Benefits: Join a collaborative, mission-driven team at More ❯

or Azure). Familiarity with version control, CI/CD , and Infrastructure-as-Code (Terraform or similar). Desirable: Background in fintech or payments. Knowledge of streaming frameworks (Kafka, Kinesis). Experience with dbt and data quality frameworks (e.g., Great Expectations ). What’s on Offer Competitive base salary + bonus Flexible hybrid working model (Liverpool Street office) Private More ❯