726 to 750 of 1,073 Kafka Jobs in the UK

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 ❯

vendors, consultancies AND/OR as a DevOps (or developer) within financial institutions Expertise in one or more of .NET, C#, SQL/MDX, batch scripting (e.g., PowerShell, DOS), Kafka, Ansible, Redis , RabbitMQ , Delphi, and web application development (JSON) In depth knowledge of MS/SQL and/or Oracle Experience in OS (Windows, Linux), infrastructure and network setup More ❯

vendors, consultancies AND/OR as a DevOps (or developer) within financial institutions Expertise in one or more of .NET, C#, SQL/MDX, batch scripting (e.g., PowerShell, DOS), Kafka, Ansible, Redis , RabbitMQ , Delphi, and web application development (JSON) In depth knowledge of MS/SQL and/or Oracle Experience in OS (Windows, Linux), infrastructure and network setup More ❯

in effectively allocating team resources, managing workloads, and coaching high-performing individual contributors Experience with building data pipelines featuring modern tools such as: dbt, Airflow/Temporal, Airbyte, Debezium, Kafka Connect. Strong proficiency in SQL and programming languages such as Python, Java, or Scala Expertisewith at least one modern data warehouse (Snowflake,BigQuery, Redshift) Strong understanding of data governance More ❯

learn about complex problems at high scale. Ability to work collaboratively in a team environment and communicate effectively with other teams across Cloudflare. Experience with data streaming technologies (e.g., Kafka, Flink) is a strong plus. Experience with various logging platforms or SIEMs (e.g., Splunk, Datadog, Sumo Logic) and storage destinations (e.g., S3, R2, GCS) is a plus. Experience with More ❯

frameworks, and interest in how LLMs can improve developer productivity, automation, or decision systems. Nice to haves: Experience with NoSQL databases (MongoDB, Cassandra, Redis). Familiarity with message brokers (Kafka, SQS/SNS, RabbitMQ). Knowledge of real-time streaming (Kafka Streams, Apache Flink, etc.). Exposure to big-data or machine-learning frameworks (TensorFlow, PyTorch, Hugging Face More ❯

global presence. Senior Java Developer Role Overview: We are seeking a skilled Java Developer with deep experience in building modern, scalable applications using Java, Spring Boot, microservices, PostgreSQL, and Kafka . The ideal candidate thrives in a fast-paced environment and enjoys solving complex technical challenges. Responsibilities Design, develop, test, and deploy robust Java-based applications using Spring Boot … teams to define, design, and deliver new features. Integrate applications with cloud services on AWS. Manage application containerization and orchestration using Docker and Kubernetes. Implement event-driven architectures using Kafka for messaging and event streaming. Write clean, efficient, and well-documented code. Troubleshoot and resolve issues across the software development lifecycle. Participate in code reviews and promote best software … Maintain technical documentation related to architecture, databases, and design. Requirements Min 6 years experience in below skills Strong proficiency in Java, Spring Framework, Spring boot, RESTful APIs, Postgres, Apache Kafka Development Strong proficiency in deploying applications via CI/CD pipelines including (Chef, Jenkins, Sonar, Checkmarx, Maven, Gradle) Proficiency in Low Level System Design Proficiency in code review Ability More ❯

Knowledge of Docker and Kubernetes for containerisation and orchestration Proficiency in Git, CI/CD pipelines, and automated testing frameworks Understanding of event-driven design and message brokers (e.g. Kafka, RabbitMQ) Good knowledge of security, authentication, and integration patterns for enterprise systems Experience working in agile teams within digital transformation or automation programmes A willingness to learn BPMN and … keywords: Java software engineer object-oriented design OOD Camunda BPMN DMN Spring Boot REST API microservice architecture Docker Kubernetes containerisation orchestration Git CI/CD pipelines automated testing frameworks Kafka RabbitMQ Security authentication integration patterns enterprise systems agile digital transformation automation Java developer Camunda developer Zeebe Cloud AWS Azure GCP Terraform Helm process automation agentic AI artificial intelligence security More ❯

Knowledge of Docker and Kubernetes for containerisation and orchestration Proficiency in Git, CI/CD pipelines, and automated testing frameworks Understanding of event-driven design and message brokers (e.g. Kafka, RabbitMQ) Good knowledge of security, authentication, and integration patterns for enterprise systems Experience working in agile teams within digital transformation or automation programmes A willingness to learn BPMN and … keywords: Java software engineer object-oriented design OOD Camunda BPMN DMN Spring Boot REST API microservice architecture Docker Kubernetes containerisation orchestration Git CI/CD pipelines automated testing frameworks Kafka RabbitMQ Security authentication integration patterns enterprise systems agile digital transformation automation Java developer Camunda developer Zeebe Cloud AWS Azure GCP Terraform Helm process automation agentic AI artificial intelligence security More ❯

Knowledge of Docker and Kubernetes for containerisation and orchestration Proficiency in Git, CI/CD pipelines, and automated testing frameworks Understanding of event-driven design and message brokers (e.g. Kafka, RabbitMQ) Good knowledge of security, authentication, and integration patterns for enterprise systems Experience working in agile teams within digital transformation or automation programmes Desirable Experience with Camunda 8 (Zeebe … keywords: Java software engineer object-oriented design OOD Camunda BPMN DMN Spring Boot REST API microservice architecture Docker Kubernetes containerisation orchestration Git CI/CD pipelines automated testing frameworks Kafka RabbitMQ Security authentication integration patterns enterprise systems agile digital transformation automation Java developer Camunda developer Zeebe Cloud AWS Azure GCP Terraform Helm process automation agentic AI artificial intelligence security More ❯

Knowledge of Docker and Kubernetes for containerisation and orchestration Proficiency in Git, CI/CD pipelines, and automated testing frameworks Understanding of event-driven design and message brokers (e.g. Kafka, RabbitMQ) Good knowledge of security, authentication, and integration patterns for enterprise systems Experience working in agile teams within digital transformation or automation programmes Desirable Experience with Camunda 8 (Zeebe … keywords: Java software engineer object-oriented design OOD Camunda BPMN DMN Spring Boot REST API microservice architecture Docker Kubernetes containerisation orchestration Git CI/CD pipelines automated testing frameworks Kafka RabbitMQ Security authentication integration patterns enterprise systems agile digital transformation automation Java developer Camunda developer Zeebe Cloud AWS Azure GCP Terraform Helm process automation agentic AI artificial intelligence security More ❯

LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a commitment to excellence in delivering the services our customers expect from us. LSEG Data & Analytics More ❯

A culture of engineering excellence driven by mentoring and high-quality practices. Preferred Experience Databricks in a SaaS environment, Spark, Python, and database technologies. Event-driven and distributed systems (Kafka, AWS SNS/SQS, Java, Python). Data Governance, Data Lakehouse/Data Intelligence platforms. AI software delivery and AI data preparation. More ❯

A culture of engineering excellence driven by mentoring and high-quality practices. Preferred Experience Databricks in a SaaS environment, Spark, Python, and database technologies. Event-driven and distributed systems (Kafka, AWS SNS/SQS, Java, Python). Data Governance, Data Lakehouse/Data Intelligence platforms. AI software delivery and AI data preparation. More ❯

A culture of engineering excellence driven by mentoring and high-quality practices. Preferred Experience Databricks in a SaaS environment, Spark, Python, and database technologies. Event-driven and distributed systems (Kafka, AWS SNS/SQS, Java, Python). Data Governance, Data Lakehouse/Data Intelligence platforms. AI software delivery and AI data preparation. More ❯

A culture of engineering excellence driven by mentoring and high-quality practices. Preferred Experience Databricks in a SaaS environment, Spark, Python, and database technologies. Event-driven and distributed systems (Kafka, AWS SNS/SQS, Java, Python). Data Governance, Data Lakehouse/Data Intelligence platforms. AI software delivery and AI data preparation. More ❯

A culture of engineering excellence driven by mentoring and high-quality practices. Preferred Experience Databricks in a SaaS environment, Spark, Python, and database technologies. Event-driven and distributed systems (Kafka, AWS SNS/SQS, Java, Python). Data Governance, Data Lakehouse/Data Intelligence platforms. AI software delivery and AI data preparation. More ❯

software design tools (e.g. Enterprise Architect, Cameo Systems Modeller ) Knowledge of infrastructure as code and container technologies (e.g. Puppet, Docker ) Knowledge of COTS integration technologies (e.g. Apache Camel, Apache Kafka ) Knowledge of Control and Monitoring technologies (e.g. SNMP v2c, SNMP v3 ) What do we do for you? We offer meaningful and engaging careers, a collaborative culture, and support for More ❯

years leading technical teams in data engineering or analytics Expertise in modern data platforms such as Databricks, Snowflake, GCP, AWS, or Azure Strong understanding of tools like Apache Spark, Kafka, and Kubernetes Deep knowledge of data governance, strategy, and privacy regulations (GDPR, etc.) Strategic mindset with the ability to balance technical depth and business insight Passion for developing people More ❯

years leading technical teams in data engineering or analytics Expertise in modern data platforms such as Databricks, Snowflake, GCP, AWS, or Azure Strong understanding of tools like Apache Spark, Kafka, and Kubernetes Deep knowledge of data governance, strategy, and privacy regulations (GDPR, etc.) Strategic mindset with the ability to balance technical depth and business insight Passion for developing people More ❯

years leading technical teams in data engineering or analytics Expertise in modern data platforms such as Databricks, Snowflake, GCP, AWS, or Azure Strong understanding of tools like Apache Spark, Kafka, and Kubernetes Deep knowledge of data governance, strategy, and privacy regulations (GDPR, etc.) Strategic mindset with the ability to balance technical depth and business insight Passion for developing people More ❯