1 to 25 of 211 Remote Kafka Jobs in London

MS SQL or Redis is a plus Experience with scalable services using API-First principles, REST, or gRPC Knowledge of message brokers such as Kafka is beneficial Exposure to Docker, Kubernetes, and cloud services is advantageous Strong software architecture skills with emphasis on test-driven development Proficiency with tools 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 ❯

techniques, and platforms, with a focus on proving it works and does the right thing. Experience working with Spring, Hibernate, REST APIs, JSON, Microservices, Kafka and Postgres. Good understanding of architecture and cloud native principles Good grasp of algorithms and data structures Familiar with test driven development approach Experience More ❯

governance. Develop and maintain reusable components, reference architectures, and architectural guardrails to standardize implementation across delivery teams. Design robust integration frameworks using messaging systems (Kafka, MQ), event-driven architecture, and RESTful APIs. Embed DevSecOps and cloud security best practices into platform layers, aligned with compliance mandates such as GDPR More ❯

familiar with, and able to install, configure and manage various persistence technologies, including database technologies (NoSQL/SQL) and broker/queuing systems (e.g. Kafka, SQS), including knowledge of HA/clustering. You are comfortable with various logging, monitoring and alerting platforms and have expertise in the usage (and 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 ❯

understanding of SQL (PostgreSQL or MS SQL Server) and data-driven services. Strong grasp of event-driven designs and messaging (Pub/Sub, RabbitMQ, Kafka, etc.). Comfortable operating in a fast-moving, fully-remote start-up environment with high autonomy. Excellent communication skills and a track record of More ❯

understanding of SQL (PostgreSQL or MS SQL Server) and data-driven services. Strong grasp of event-driven designs and messaging (Pub/Sub, RabbitMQ, Kafka, etc.). Comfortable operating in a fast-moving, fully-remote start-up environment with high autonomy. Excellent communication skills and a track record of More ❯

understanding of SQL (PostgreSQL or MS SQL Server) and data-driven services. Strong grasp of event-driven designs and messaging (Pub/Sub, RabbitMQ, Kafka, etc.). Comfortable operating in a fast-moving, fully-remote start-up environment with high autonomy. Excellent communication skills and a track record of 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 ❯

with DevOps principles and tooling such as Infrastructure as Code (Terraform) and CI/CD (GitHub Actions, Jenkins) Knowledge of stream processing technologies like Kafka would be useful Experience working with ITSM systems like JSM, Zendesk or ServiceNow Experience building/maintaining automated incident management workflows Experience developing with More ❯

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 ❯

Python and SQL. Experience with big data technologies like Apache Hadoop and Apache Spark. Familiarity with real-time data processing frameworks such as Apache Kafka or Flink. MLOps & Deployment: Experience deploying and maintaining large-scale ML inference pipelines into production environments. Proficiency with Docker for containerization and Kubernetes for More ❯

Python and SQL. Experience with big data technologies like Apache Hadoop and Apache Spark. Familiarity with real-time data processing frameworks such as Apache Kafka or Flink. MLOps & Deployment: Experience deploying and maintaining large-scale ML inference pipelines into production environments. Proficiency with Docker for containerization and Kubernetes for 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 ❯

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 ❯

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 ❯

with relational and non-relational databases (e.g. Snowflake, BigQuery, PostgreSQL, MySQL, MongoDB). Hands-on experience with big data technologies such as Apache Spark, Kafka, Hive, or Hadoop. Proficient in at least one programming language (e.g. Python, Scala, Java, R). Experience deploying and maintaining cloud infrastructure (e.g. AWS 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 ❯

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 ❯

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 ❯