376 to 400 of 504 Remote Kafka Jobs

governance. Nice-to-have Text-to-Cypher/SPARQL with safety filters and small eval sets. MCP-style tool contracts for safe agent access. Streaming/ELT at scale (Kafka/Databricks/PySpark). More ❯

governance. Nice-to-have Text-to-Cypher/SPARQL with safety filters and small eval sets. MCP-style tool contracts for safe agent access. Streaming/ELT at scale (Kafka/Databricks/PySpark). More ❯

teams. Key Skills: Experience with Azure cloud data lakes and services (Data Factory, Synapse, Databricks). Skilled in ETL/ELT pipeline development and big data tools (Spark, Hadoop, Kafka). Strong Python/PySpark programming and advanced SQL with query optimisation. Experience with relational, NoSQL, and graph databases. Familiar with CI/CD, version control, and infrastructure as More ❯

teams. Key Skills: Experience with Azure cloud data lakes and services (Data Factory, Synapse, Databricks). Skilled in ETL/ELT pipeline development and big data tools (Spark, Hadoop, Kafka). Strong Python/PySpark programming and advanced SQL with query optimisation. Experience with relational, NoSQL, and graph databases. Familiar with CI/CD, version control, and infrastructure as More ❯

teams. Key Skills: Experience with Azure cloud data lakes and services (Data Factory, Synapse, Databricks). Skilled in ETL/ELT pipeline development and big data tools (Spark, Hadoop, Kafka). Strong Python/PySpark programming and advanced SQL with query optimisation. Experience with relational, NoSQL, and graph databases. Familiar with CI/CD, version control, and infrastructure as More ❯

ways of working back to the technology team - where you can challenge each other and welcome feedback. The technology landscape includes technologies such as Google Cloud, Python, Big Query, Kafka and Devops practises around CI/CD and more. Your responsibilities within your role will include building and working on a quality data framework,. helping restructure how you More ❯

.NET Core Proven experience building microservices-based architectures Strong knowledge of Azure Cloud Services (Functions, Service Bus, Event Hub, Kubernetes, etc.) Experience with event-driven/message-based systems (Kafka, RabbitMQ, or Service Bus) Energy or Commodity Trading domain experience (essential) Exposure to low-latency systems or real-time data processing is highly desirable If you’re interested in More ❯

.NET Core Proven experience building microservices-based architectures Strong knowledge of Azure Cloud Services (Functions, Service Bus, Event Hub, Kubernetes, etc.) Experience with event-driven/message-based systems (Kafka, RabbitMQ, or Service Bus) Energy or Commodity Trading domain experience (essential) Exposure to low-latency systems or real-time data processing is highly desirable If you’re interested in More ❯

.NET Core Proven experience building microservices-based architectures Strong knowledge of Azure Cloud Services (Functions, Service Bus, Event Hub, Kubernetes, etc.) Experience with event-driven/message-based systems (Kafka, RabbitMQ, or Service Bus) Energy or Commodity Trading domain experience (essential) Exposure to low-latency systems or real-time data processing is highly desirable If you’re interested in More ❯

.NET Core Proven experience building microservices-based architectures Strong knowledge of Azure Cloud Services (Functions, Service Bus, Event Hub, Kubernetes, etc.) Experience with event-driven/message-based systems (Kafka, RabbitMQ, or Service Bus) Energy or Commodity Trading domain experience (essential) Exposure to low-latency systems or real-time data processing is highly desirable If you’re interested in More ❯

.NET Core Proven experience building microservices-based architectures Strong knowledge of Azure Cloud Services (Functions, Service Bus, Event Hub, Kubernetes, etc.) Experience with event-driven/message-based systems (Kafka, RabbitMQ, or Service Bus) Energy or Commodity Trading domain experience (essential) Exposure to low-latency systems or real-time data processing is highly desirable If you’re interested in More ❯

Develop a long-term data vision and roadmap that supports the evolving needs of capital markets firms. Skills Required Technical Expertise: Proficiency in data modelling, database design, SQL, Python, Kafka(optional), and experience with ETL tools and cloud data platforms. Data Management : Strong knowledge of data warehousing solutions. Capital Markets Knowledge: Understanding of the specific data requirements, challenges, and More ❯

Develop a long-term data vision and roadmap that supports the evolving needs of capital markets firms. Skills Required Technical Expertise: Proficiency in data modelling, database design, SQL, Python, Kafka(optional), and experience with ETL tools and cloud data platforms. Data Management : Strong knowledge of data warehousing solutions. Capital Markets Knowledge: Understanding of the specific data requirements, challenges, and More ❯

Develop a long-term data vision and roadmap that supports the evolving needs of capital markets firms. Skills Required Technical Expertise: Proficiency in data modelling, database design, SQL, Python, Kafka(optional), and experience with ETL tools and cloud data platforms. Data Management : Strong knowledge of data warehousing solutions. Capital Markets Knowledge: Understanding of the specific data requirements, challenges, and More ❯

Develop a long-term data vision and roadmap that supports the evolving needs of capital markets firms. Skills Required Technical Expertise: Proficiency in data modelling, database design, SQL, Python, Kafka(optional), and experience with ETL tools and cloud data platforms. Data Management : Strong knowledge of data warehousing solutions. Capital Markets Knowledge: Understanding of the specific data requirements, challenges, and More ❯

Develop a long-term data vision and roadmap that supports the evolving needs of capital markets firms. Skills Required Technical Expertise: Proficiency in data modelling, database design, SQL, Python, Kafka(optional), and experience with ETL tools and cloud data platforms. Data Management : Strong knowledge of data warehousing solutions. Capital Markets Knowledge: Understanding of the specific data requirements, challenges, and More ❯

Develop a long-term data vision and roadmap that supports the evolving needs of capital markets firms. Skills Required Technical Expertise: Proficiency in data modelling, database design, SQL, Python, Kafka(optional), and experience with ETL tools and cloud data platforms. Data Management : Strong knowledge of data warehousing solutions. Capital Markets Knowledge: Understanding of the specific data requirements, challenges, and More ❯

enterprise-grade SaaS applications in a high-growth B2B environment Strong technical depth across: Backend: Node.js, Typescript Frontend: React.js, Typescript Database: MySQL Cloud/Infra: AWS, ECS, K8s, Airflow, Kafka, Serverless Solid understanding of SaaS fundamentals: onboarding, authentication, SSO, granular authorisation, multi-tenancy Familiarity with workflow orchestration, asynchronous tasks, and event-driven architecture Ideally, exposure to cybersecurity platforms or More ❯

enterprise-grade SaaS applications in a high-growth B2B environment Strong technical depth across: Backend: Node.js, Typescript Frontend: React.js, Typescript Database: MySQL Cloud/Infra: AWS, ECS, K8s, Airflow, Kafka, Serverless Solid understanding of SaaS fundamentals: onboarding, authentication, SSO, granular authorisation, multi-tenancy Familiarity with workflow orchestration, asynchronous tasks, and event-driven architecture Ideally, exposure to cybersecurity platforms or More ❯

enterprise-grade SaaS applications in a high-growth B2B environment Strong technical depth across: Backend: Node.js, Typescript Frontend: React.js, Typescript Database: MySQL Cloud/Infra: AWS, ECS, K8s, Airflow, Kafka, Serverless Solid understanding of SaaS fundamentals: onboarding, authentication, SSO, granular authorisation, multi-tenancy Familiarity with workflow orchestration, asynchronous tasks, and event-driven architecture Ideally, exposure to cybersecurity platforms or More ❯

orchestration tools. Implement redundancy, backups, and DB triggers to ensure reliability and data integrity. Work with Python to build scalable data solutions. Introduce and adopt new technologies such as Kafka, Docker, Airflow, and AWS . Define and enforce data hygiene practices (ontology, storage, artifacts, version control). Reduce engineering load per person through automation and efficient design. Collaborate closely More ❯

orchestration tools. Implement redundancy, backups, and DB triggers to ensure reliability and data integrity. Work with Python to build scalable data solutions. Introduce and adopt new technologies such as Kafka, Docker, Airflow, and AWS . Define and enforce data hygiene practices (ontology, storage, artifacts, version control). Reduce engineering load per person through automation and efficient design. Collaborate closely More ❯

orchestration tools. Implement redundancy, backups, and DB triggers to ensure reliability and data integrity. Work with Python to build scalable data solutions. Introduce and adopt new technologies such as Kafka, Docker, Airflow, and AWS . Define and enforce data hygiene practices (ontology, storage, artifacts, version control). Reduce engineering load per person through automation and efficient design. Collaborate closely More ❯

orchestration tools. Implement redundancy, backups, and DB triggers to ensure reliability and data integrity. Work with Python to build scalable data solutions. Introduce and adopt new technologies such as Kafka, Docker, Airflow, and AWS . Define and enforce data hygiene practices (ontology, storage, artifacts, version control). Reduce engineering load per person through automation and efficient design. Collaborate closely More ❯

orchestration tools. Implement redundancy, backups, and DB triggers to ensure reliability and data integrity. Work with Python to build scalable data solutions. Introduce and adopt new technologies such as Kafka, Docker, Airflow, and AWS . Define and enforce data hygiene practices (ontology, storage, artifacts, version control). Reduce engineering load per person through automation and efficient design. Collaborate closely More ❯