1 to 25 of 190 Remote Kafka Jobs in London

Kubernetes), and Infrastructure-as-Code (Terraform). Cursor AI is widely used too. Data-driven : Experience working with big data systems like Databricks, Spark, Kafka, Snowflake, or BigQuery. Familiarity with batch and streaming ML pipelines is ideal. LLM-curious : Hands-on exposure to LLMs or interest in working on More ❯

Kubernetes), and Infrastructure-as-Code (Terraform). Cursor AI is widely used too. Data-driven : Experience working with big data systems like Databricks, Spark, Kafka, Snowflake, or BigQuery. Familiarity with batch and streaming ML pipelines is ideal. LLM-curious : Hands-on exposure to LLMs or interest in working on More ❯

Kubernetes), and Infrastructure-as-Code (Terraform). Cursor AI is widely used too. Data-driven : Experience working with big data systems like Databricks, Spark, Kafka, Snowflake, or BigQuery. Familiarity with batch and streaming ML pipelines is ideal. LLM-curious : Hands-on exposure to LLMs or interest in working on More ❯

Experience with Unit Testing and Integration Testing is also essential. Experience with container technologies such as Docker and Kubernetes. Experience of middleware such as Kafka, NServiceBus, Camunda, Dremio, RabbitMQ. Practiced experience refactoring, implementing design patterns, design driven development, continuous integration, system and application design, application security. Strong experience working More ❯

AWS Redshift). Strong understanding of data modelling (relational, dimensional, NoSQL) and ETL/ELT processes . Experience with data integration tools (e.g., Apache Kafka, Talend, Informatica) and APIs . Familiarity with big data technologies (e.g., Hadoop, Spark) and real-time streaming Expertise in cloud security , data governance , and More ❯

control systems such as Git, and familiarity with Linux computing environments. Experience working with different database and messaging technologies such as SQL, KDB, MongoDB, Kafka, etc. Familiarity with data visualization and ideally development of analytical dashboards using Python and BI tools. Excellent communication skills, both written and verbal, with More ❯

DevOps Engineers. As a Senior Java Developer, you will: Have 5+ years experience as a Software Engineer Experience developing with: Java, Spring Boot, Microservices, Kafka (or other messaging queues e.g. RabbitMQ), AWS, Docker, Kubernetes A desire to be part of an important mission Be adaptable to working in the More ❯

DevOps Engineers. As a Senior Java Developer, you will: Have 5+ years experience as a Software Engineer Experience developing with: Java, Spring Boot, Microservices, Kafka (or other messaging queues e.g. RabbitMQ), AWS, Docker, Kubernetes A desire to be part of an important mission Be adaptable to working in the More ❯

DevOps Engineers. As a Senior Java Developer, you will: Have 5+ years experience as a Software Engineer Experience developing with: Java, Spring Boot, Microservices, Kafka (or other messaging queues e.g. RabbitMQ), AWS, Docker, Kubernetes A desire to be part of an important mission Be adaptable to working in the More ❯

etc.). Familiarity with Python for AI/ML development is a significant advantage. Experience with data engineering pipelines or big data technologies (e.g., Kafka, Spark) is a plus. The recruitment process you can expect for this role is an initial call with your dedicated Talent Acquisition Partner who More ❯

our list Google Cloud Storage Google Data Transfer Service Google Dataflow (Apache Beam) Google PubSub Google CloudRun BigQuery or any RDBMS Python Debezium/Kafka dbt (Data Build tool) Interview process Interviewing is a two way process and we want you to have the time and opportunity to get More ❯

in environments with AI/ML components or interest in learning data workflows for ML applications . Bonus if you have e xposure to Kafka, Spark, or Flink . Experience with data compliance regulations (GDPR). What you can expect from us: Salary 65-75k Opportunity for annual More ❯

Python and hands-on experience with at least one LLM based framework (LangChain, LangGraph, LangSmith, LlamaIndex, Qdrant, etc ) Strong experience with asynchronous queues (e.g., Kafka, RabbitMQ) and asynchronous APIs Deep understanding of cloud infrastructure (AWS, GCP) and experience deploying and managing applications at scale. Strong understanding of data lake More ❯

building, and deploying microservices (ideally with Java, Spring Boot, Node.js, or Python). Expertise designing and implementing event-driven systems using tools like Apache Kafka, RabbitMQ, Amazon EventBridge, Azure Event Grid, or Google Pub/Sub. Cloud Hyperscalers: Practical experience with AWS, Azure, and GCP. Leading iPaaS Tools: Proficiency More ❯

solutions across various industries. Architectural Expertise: Strong expertise in designing and overseeing delivery of data streaming and event-driven architectures, with a focus on Kafka and Confluent platforms. In-depth knowledge in architecting and implementing data lakes and lakehouse platforms, including experience with Databricks and Unity Catalog. Proficiency in More ❯

or Azure Data Factory Desirable Skills Background in software engineering or DevOps practices (CI/CD, version control, testing) Experience with streaming technologies (e.g., Kafka, Kinesis) Exposure to deploying AI/ML models in production environments Knowledge of tools like Databricks, BigQuery, or Microsoft Fabric More ❯

practices and emerging technologies. What We’re Looking For ✅ Strong Java Expertise – 5-7 years of Java 11+ experience (currently using Java 21). ✅ Kafka ✅ SQL Database Proficiency – Strong experience with SQL databases (PostgreSQL preferred). ✅ Microservices & Cloud – Deep knowledge of microservices architecture, API design, and AWS . ✅ Spring More ❯

practices and emerging technologies. What We’re Looking For ✅ Strong Java Expertise – 5-7 years of Java 11+ experience (currently using Java 21). ✅ Kafka ✅ SQL Database Proficiency – Strong experience with SQL databases (PostgreSQL preferred). ✅ Microservices & Cloud – Deep knowledge of microservices architecture, API design, and AWS . ✅ Spring More ❯

Used GIT, Jenkins, GitHub or Azure DevOps Used Entity Framework or other popular ORM tools Experience with messaging such as Service Bus, MQ or Kafka To discuss this or wider Technology roles with our recruitment team, all you need to do is apply, create a profile, upload your CV More ❯

using Spark/any other distributed real time/batch processing. Strong skill set in SQL/Databases Strong understanding of Messaging tech like Kafka, Solace , MQ etc. Writing production scale applications to use the Caching technologies. Understanding of Data virtualization Production management (L3 support) experience Any Beneficial/ More ❯

in environments with AI/ML components or interest in learning data workflows for ML applications . Bonus if you have e xposure to Kafka, Spark, or Flink . Experience with data compliance regulations (GDPR). What You Can Expect From Us Opportunity for annual bonuses Medical Insurance Cycle More ❯

in environments with AI/ML components or interest in learning data workflows for ML applications . Bonus if you have e xposure to Kafka, Spark, or Flink . Experience with data compliance regulations (GDPR). What You Can Expect From Us Opportunity for annual bonuses Medical Insurance Cycle More ❯

lakehouses, data lakes, vector databases). Additional (Nice-to-Have) Skills Infrastructure as Code: Terraform or similar. Containers & Kubernetes: Docker, EKS/AKS. Streaming: Kafka, Kinesis, Event Hubs. AWS or Azure certifications. Desirable Experience Consulting or Energy sector experience. Public Thought Leadership (blogs, conferences, open source). Effective stakeholder More ❯

of building and managing real-time data pipelines across a track record of multiple initiatives. Expertise in developing data backbones using distributed streaming platforms (Kafka, Spark Streaming, Flink, etc.). Experience working with cloud platforms such as AWS, GCP, or Azure for real-time data ingestion and storage. Programming More ❯

with delivery partners and third-party applications. Proficiency in Java and Spring Boot is essential. Familiarity with the Spring Framework and tools like Apache Kafka is a bonus. Knowledge of finical billing domains/systems Hands-on experience with microservices architecture , database programming , and event streaming in a cloud More ❯