1 to 25 of 99 Permanent Kafka Jobs in England with Remote Work Options

following: * Delivering integration micro-service patterns using Java Spring Boot * Applying SOLID principles and creating clean code * Experience working with streaming data (e.g. Apache Kafka) and AWS native messaging/streaming features * API specification/design and documentation * Working with SQL and NoSQL data sources such as Postgres and more »

of container and orchestration technologies (e.g. Docker, Kubernetes, LXC) Other technologies associated with multi-tier architectures, and distributed computing. E.g. Redis, RabbitMQ, Prometheus, Apache Kafka, ELK, load balancers, ... What is in it for me? Ipsos UK offer an attractive basic salary and a rewards package including 25 days more »

Azure DevOps, Azure Monitor, Azure Data Factory, SQL Server, Azure DataLake Storage, Azure App Service, Apache Airflow, Apache Iceberg, Apache Spark, Apache Hudi, Apache Kafka, Power BI, BigQuery, Azure ML is a plus Experience with Azure SQL Database, Cosmos DB, NoSQL, MongoDB Experience with Agile, DevOps methodologies Awareness and more »

areas please get in touch: Spring Boot microservices React and Node.js frontend web application development Database technologies e.g. PostgreSQL Messaging technologies e.g. ActiveMQ or Kafka Continuous Integration and Continuous Deployment Cloud platforms, e.g. AWS, and Kubernetes platforms e.g. OpenShift more »

Data Fusion. * NoSQL Databases. Dynamo DB/Neo4j/Elastic, Google Cloud Datastore. * Snowflake Data Warehouse/Platform * Streaming technologies and processing engines, Kinesis, Kafka, Pub/Sub and Spark Streaming. * Experience of working with CI/CD technologies, Git, Jenkins, Spinnaker, GCP Cloud Build, Ansible etc * Experience building more »

i.e. high-frequency trading firms, hedge funds, tier 1 investment banks, and more. Techstack Scala, AWS, CI/CD, React, TypeScript, JavaScript, Docker, Kubernetes, Kafka Responsibilities Be a part of a high-performing SWE team, collaborating directly with stakeholders to contribute to each stage of product and feature development more »

but advantageous): Experience in the fintech or financial services industry. Knowledge of DevOps practices and tools (Docker, Kubernetes). Familiarity with message broker systems (Kafka, RabbitMQ). Perks and Benefits: Competitive salary package up to £130,000 per annum. Hybrid working model: 3 days onsite in Euston, London. Opportunity more »

SQL) Infrastructure (Servers, Databases, Virtualization, Networking, Security, Disaster Recovery etc.). Hashicorp Products (Nomad, Consul, Vault, Terraform) ELK, Docker, Python, XLM, HBase/Coherence, Kafka, Prometheus, Grafana, Octopus, EC2, S3, Lambda, Cloud Watch, Cloudera) all a plus. Strong multi-tasking skills. Demonstrated ability to coordinate complex IT support activities more »

internal systems, collaboratively problem solving as an integral part of a supportive Agile team. There's a modern microservices tech stack encompassing Java, SpringBoot, Kafka, ElasticSearch, Gradle, Hibernate, SQL and Docker amongst others (you don't experience with them all). You'll be encouraged to investigate and recommend more »

internal systems, collaboratively problem solving as an integral part of a supportive Agile team. There's a modern microservices tech stack encompassing Java, SpringBoot, Kafka, ElasticSearch, Gradle, Hibernate, SQL and Docker amongst others (you don't experience with them all). You'll be encouraged to investigate and recommend more »

and/or Kubernetes You might also have A higher degree and/or relevant post-graduate experience Knowledge of message brokers such as Kafka, RabbitMQ, and SQS Interest in life sciences Apply now! Benefits and Contract Information Financial incentives: depending on circumstances, monthly family/marriage allowance of more »

crafting IoT data pipelines , ensuring real-time processing, security, and integration with IoT ecosystems. Skill in designing, developing, and monitoring streaming data applications with Kafka and related technologies. Commitment to implementing and upholding data governance policies and standards throughout the data platform. Personal Competencies: A results-oriented professional with more »

Preferred Qualifications: Extensive experience with Docker, Kubernetes, and AWS/Azure/GCP(any cloud provider) for scalable, cloud-native solutions. Familiarity with Apache Kafka and RESTful web services. Strong understanding of architectural and integration design patterns. Commitment to Agile best practices. Commitment: Permanent About Scrumconnect: At Scrumconnect, we more »

Django, Docker Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc Data acquisition and development of data sets and improving data quality Preparing data for predictive and prescriptive modelling Reporting tools (e.g. Tableau, PowerBI more »

on a hybrid basis (twice a week), this can be flexible and negotiable if required. Tech skills needed: Java 17+ (this is essential) AWS Kafka Springboot Docker/Kubernetes Devops & CI/CD pipelines Microservices TDD approach API gateways/Kong The role would be perfect for someone who more »

or Edinburgh office on a hybrid basis (twice a week), this can be flexible and negotiable if required. Tech skills needed: Java 17+ AWS Kafka Springboot Docker/Kubernetes Devops & CI/CD pipelines Microservices TDD approach Previous experience of working on SaaS solutions Experience working on large scale more »

s commercial experience in software development, with one or more of the following technologies: Java, Spring Boot, Maven, Git, GitHub Actions, SQL, Microservice architecture, Kafka Steams, Kubernetes. • 5+ years’ experience in a senior software development position as part of a development team, writing in Java. • Ability to provide software more »

of 50 visionary techies, who are working on a future-proof platform. Their current code base is a mixture of Java, Springboot, Mysql, Apache Kafka, Git, and AWS. You do not need experience in all – but strong Java background with cloud experience is desirable. What can they do for more »

for you. They're seeking a skilled Java Engineers to help create meaningful solutions using modern Java related technologies such as Spring Boot, Microservices, Kafka, Kubernetes, Docker all while harnessing the power of AWS. Key Responsibilities : Develop and maintain Java applications with Spring Boot and microservices. Collaborate with cross more »

modular Kubernetes-centric platform, with Pulumi, Terraform, and Argo. Implementing service mesh and configuration management for microservices. Operating critical infrastructure like Apache Pulsar or Kafka and Keycloak. Developing a multi-Cloud approach supporting Azure, Alibaba, and GCP. Implementing collection, dashboards, and alerts for logs and metrics. Enabling developers to more »

skills Bonus points for: Trading experience (digital assets or traditional) Cloud platforms (AWS, GCP, Azure) Containerization (Docker) & caching technologies (Redis) Messaging/streaming tech (Kafka, RabbitMQ) Why Join? Fast-growing FinTech with a start-up vibe & global reach Cutting-edge technology & impactful problem-solving Diverse, client-focused team environment more »

the definition of Big Data architecture with different tools and environments: Cloud (AWS, Azure and GCP), Cloudera, No-sql databases (Cassandra, Mongo DB), ELK, Kafka, Snowflake, etc. Past experience in Data Engineering and data quality tools (Informatica, Talend, etc.) Previous involvement in working in a Multilanguage and multicultural environment more »

Proficiency in cloud platforms (AWS, GCP, Azure) and containerization (Docker) is a game-changer. Familiarity with caching technologies (Redis) and messaging/streaming tech (Kafka, RabbitMQ) will set you apart. Why You Belong Here Join a fast-growing FinTech company with a vibrant start-up culture and global reach. more »

programming languages and tools for data analysis, such as Python, R, and SQL You must be proficient in big data technologies, such as Spark, Kafka and/or Hadoop. A strong understanding of statistical analysis, predictive modelling, machine learning algorithms, and data development and optimisation is essential You could more »

knowledge of distributed and scalable systems, including proficiency with PostgreSQL, Ray, RabbitMQ, and Cassandra. Familiarity with big data technologies such as Hadoop, Spark, or Kafka . Experience with CI/CD Strong problem-solving skills and the ability to troubleshoot complex issues in distributed systems. Excellent communication and collaboration more »