bolton, greater manchester, north west england, united kingdom
Capgemini
of applications. Skills Required: Languages & Frameworks: Java, Spring Boot, Spring REST API (JAX-RS), EJB, Spring Integration, Spring Batch, EclipseLink JPA Databases: PostgreSQL, MongoDB, Redis, Oracle Messaging & Streaming: ApacheKafka DevOps & CI/CD: GitLab CI/CD, Jenkins, Docker, Kubernetes Cloud & Storage: IBM Cloud, Cloud Object Storage Infrastructure as Code (IaC): Terraform, AWS CloudFormation Version Control: Git About More ❯
data pipelines. Proficiency in JVM-based languages (Java, Kotlin), ideally combined with Python and experience in Spring Boot Solid understanding of data engineering tools and frameworks, like Spark, Flink, Kafka, dbt, Trino, and Airflow. Hands-on experience with cloud environments (AWS, GCP, or Azure), infrastructure-as-code practices, and ideally container orchestration with Kubernetes. Familiarity with SQL and NoSQL More ❯
Croydon, London, United Kingdom Hybrid / WFH Options
Experis
Umbrella Clearance required: SC Duration: 4 Months Location: Croydon (Mostly Remote) Job Description: Senior Engineer with either full stack (Java/React/Node.js) or backend (Java and ideally Kafka) * Experience of Java * Experience of Spring framework or equivalent. * Knowledge of software design patterns and when to apply them * Excellent knowledge of development processes. * Experience of containerisation using Docker More ❯
Kanban, TDD, BDD Nice to have Skills: Good understanding of container technologies (Docker and Kubernetes) Experience of Single page application frameworks (Angular/React) Practical experience of development using Kafka/RabbitMQ Experience in large scale integration projects involving messaging, web services and distributed systems Public Sector experience More ❯
Reading, England, United Kingdom Hybrid / WFH Options
Mastek
Kanban, TDD, BDD Nice to have Skills: Good understanding of container technologies (Docker and Kubernetes) Experience of Single page application frameworks (Angular/React) Practical experience of development using Kafka/RabbitMQ Experience in large scale integration projects involving messaging, web services and distributed systems Public Sector experience More ❯
slough, south east england, united kingdom Hybrid / WFH Options
Mastek
Kanban, TDD, BDD Nice to have Skills: Good understanding of container technologies (Docker and Kubernetes) Experience of Single page application frameworks (Angular/React) Practical experience of development using Kafka/RabbitMQ Experience in large scale integration projects involving messaging, web services and distributed systems Public Sector experience More ❯
language and its core libraries Spring Boot – Expert in building RESTful APIs and microservices using Spring Boot AWS – Strong experience with core AWS services (EC2, S3, Lambda, IAM, etc.) Kafka/Messaging Systems – Expertise in building event-driven architectures SQL – Strong experience with relational databases and SQL query optimization REST/JSON APIs – Designing, developing, and consuming scalable APIs More ❯
for cloud environments (preferably AWS). Architecture Skills: Proficient in creating HLD/LLD, sequence diagrams, and architectural documentation. Experience with integration patterns (e.g., API Gateway, message brokers like Kafka or RabbitMQ). DevOps & Tools: Familiarity with CI/CD pipelines, infrastructure as code, observability tools, and service mesh concepts. Soft Skills: Strong communication and stakeholder management abilities. Proven More ❯
Edinburgh, City of Edinburgh, United Kingdom Hybrid / WFH Options
Cathcart Technology
of opportunity for a varied workload, and a chance to pick up different tools and technologies. They work with a really modern tech stack; Java, SpringBoot, PostgreSQL, Microservices, Kubernetes, Kafka, AWS and Reactjs + TypeScript. Although experience with all of this is great, the organisation is more interested in collaborative Engineers who can bring strong soft skills to the More ❯
Edinburgh, Midlothian, Scotland, United Kingdom Hybrid / WFH Options
Cathcart Technology
of opportunity for a varied workload, and a chance to pick up different tools and technologies. They work with a really modern tech stack; Java, SpringBoot, PostgreSQL, Microservices, Kubernetes, Kafka, AWS and Reactjs + TypeScript. Although experience with all of this is great, the organisation is more interested in collaborative Engineers who can bring strong soft skills to the More ❯
Woking, Surrey, United Kingdom Hybrid / WFH Options
Arrow McLaren IndyCar
principles and design patterns. Using ALM tools like Azure DevOps to organise and track your work. High competency in written and oral English language. Desirable Experience developing systems with Kafka and stream processing techniques. Familiarity with MATLAB and Python for mathematical processing. Experience with Linux and running containers on Kubernetes. Experience designing distributed microservice based architectures. Web development experience More ❯
automation tools such as Ansible, Puppet, Chef, or bash scripting. Strong experience working in a high-performance/high-availability environment. Knowledge of working with message brokers such as Kafka, RabbitMQ. Understanding of in-memory data structure store/cache systems such as Redis. Hands-on knowledge of monitoring and analytical systems such as the Grafana/Prometheus/ More ❯
automation tools such as Ansible, Puppet, Chef, or bash scripting. Strong experience working in a high-performance/high-availability environment. Knowledge of working with message brokers such as Kafka, RabbitMQ. Understanding of in-memory data structure store/cache systems such as Redis. Hands-on knowledge of monitoring and analytical systems such as the Grafana/Prometheus/ More ❯
storage, Oracle Autonomous Database, and PostgreSQL. Supporting innovation efforts by exploring new technologies such as vector databases to enable search and AI use cases. Using big data technologies like Kafka, Iceberg, and Parquet, along with managed databases including PostgreSQL and Oracle vector databases. Operating, monitoring, and maintaining Oracle Cloud infrastructure to ensure backend services are highly available, scalable, and More ❯
in Java with a strong understanding of microservices architecture. *Deep experience with Spring Boot, Spring Data, JPA, and Hibernate. *Strong knowledge of message brokers (particularly AWS SQS, SNS, or Kafka). *Solid experience working with RESTful APIs, event-driven systems, and distributed architectures. Containerisation & DevOps *Advanced hands-on experience with Docker in production environments. *Familiarity with orchestration tools such More ❯
lakehouse resources. Proven experience in building MLOps pipelines, tracking model lifecycle, and integrating with modern ML frameworks (e.g., scikit-learn, XGBoost, TensorFlow). Exposure to streaming data pipelines (e.g., Kafka, Structured Streaming) and real-time analytics architectures is a strong plus. Experience implementing robust DevOps practices for data engineering: versioning, testing frameworks, deployment automation, monitoring. Familiarity with data governance More ❯
lakehouse resources. Proven experience in building MLOps pipelines, tracking model lifecycle, and integrating with modern ML frameworks (e.g., scikit-learn, XGBoost, TensorFlow). Exposure to streaming data pipelines (e.g., Kafka, Structured Streaming) and real-time analytics architectures is a strong plus. Experience implementing robust DevOps practices for data engineering: versioning, testing frameworks, deployment automation, monitoring. Familiarity with data governance More ❯
lakehouse resources. Proven experience in building MLOps pipelines, tracking model lifecycle, and integrating with modern ML frameworks (e.g., scikit-learn, XGBoost, TensorFlow). Exposure to streaming data pipelines (e.g., Kafka, Structured Streaming) and real-time analytics architectures is a strong plus. Experience implementing robust DevOps practices for data engineering: versioning, testing frameworks, deployment automation, monitoring. Familiarity with data governance More ❯
lakehouse resources. Proven experience in building MLOps pipelines, tracking model lifecycle, and integrating with modern ML frameworks (e.g., scikit-learn, XGBoost, TensorFlow). Exposure to streaming data pipelines (e.g., Kafka, Structured Streaming) and real-time analytics architectures is a strong plus. Experience implementing robust DevOps practices for data engineering: versioning, testing frameworks, deployment automation, monitoring. Familiarity with data governance More ❯
london (city of london), south east england, united kingdom
Mercuria
lakehouse resources. Proven experience in building MLOps pipelines, tracking model lifecycle, and integrating with modern ML frameworks (e.g., scikit-learn, XGBoost, TensorFlow). Exposure to streaming data pipelines (e.g., Kafka, Structured Streaming) and real-time analytics architectures is a strong plus. Experience implementing robust DevOps practices for data engineering: versioning, testing frameworks, deployment automation, monitoring. Familiarity with data governance More ❯
