1 to 25 of 413 Kafka Jobs in the UK

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 »

of a range of databases, such as Azure SQL, Azure Cosmos DB, PostgreSQL or Redis Familiar with event-driven architectures and pub/sub. Kafka or Azure Service bus a plus Strong understanding of the technological requirements of High Availability (HA) and Disaster recovery (RA). Familiar with multi more »

Real time data processing and RESTful microservices in Scala (Type level stack, Kafka, Cassandra, Kubernetes, GCP, AWS). Good working knowledge of Akka HTTP and Akka Streams is required to support existing services. Looking into how our personalisation services can evolve with machine learning. Having the freedom to self more »

Developers to help build out a new project 3 days a week in Glasgow is mandatory Stack - Core Java 11 minimum (Threading), Spring, Rest, Kafka, Kubernetes, AWS, CI/CD £550 per day Inside IR35 2 stage process more »

particularly .NET 5+. Mathematics skills such as dealing with matrices, probabilities, and statistics. Familiarity with SQL and experience working with relational databases. Experience using Kafka or equivalent distributed event store and stream-processing platform. Experience working with Redis or equivalent in-memory storage. Experience working with AWS S3, Athena more »

data modelling concepts and be able to design data models that are optimised for different user cases. Experience implementing data pipelines that run on Kafka or equivalent distributed event store and stream-processing platforms. Familiarity with SQL and experience working with and designing relational databases. Ability to debug and more »

As a Machine Learning Engineer: Apply Machine Learning Engineering project You will build the Machine Learning Infrastructures interacting with CI/CD pipelines, MLFlow, Kafka, and Kubernetes. Lead a Team of ML Engineers. You will be developing and Deploying Advanced Analytical algorithms/scalable solutions using Cloud. You will … of Machine Learning and clustering techniques with commercial experience as a Data Scientist. DevOps experience in CI/CD. Experience using Tensorflow, Kubernetes, MLFlow, Kafka, and Airflow. Experience using Python is a must (tools like AWS and Spark are beneficial) Excellent communication skills and team and colleague engagement. A more »

As a Machine Learning Engineer: Apply Machine Learning Engineering project You will build the Machine Learning Infrastructures interacting with CI/CD pipelines, MLFlow, Kafka, and Kubernetes. Lead a Team of ML Engineers. You will be developing and Deploying Advanced Analytical algorithms/scalable solutions using Cloud. You will … of Machine Learning and clustering techniques with commercial experience as a Data Scientist. DevOps experience in CI/CD. Experience using Tensorflow, Kubernetes, MLFlow, Kafka, and Airflow. Experience using Python is a must (tools like AWS and Spark are beneficial) Excellent communication skills and team and colleague engagement. A more »

systematic strategies in production, build tools to monitor strategies, build research infrastructure - with a heavy focus on data engineering. Tech stack: Python, Pandas, AWS, Kafka Requirements: Bachelors or Masters in an engineering or quantitative subject Strong Python production coding skills (deployed to AWS) Strong data engineering skills (e.g. ETL more »

record of delivering production-ready distributed systems. Extensive experience in designing high-availability systems with swift recovery mechanisms. Familiarity with messaging systems such as Kafka (or alternative messaging systems). Proficiency in working with containerized microservices architectures and Kubernetes. Previous exposure to Asset Management systems or Algo-based financial more »

team and organisation. Requirements Demonstrable experience as a software or data engineer, demonstrating a good understanding of data architecture and engineering principles. Proficiency with Kafka, AWS, and Redshift Strong coding skills with either Python or SQL, showcasing the ability to manipulate and analyse data. Proven expertise in implementing testing more »

Java components using JUnit or similar testing tools. Collaborate with the existing development team to ensure seamless integration with our current technology stack, including Kafka or RabbitMQ for messaging. Implement and maintain database solutions with PostgreSQL or other relational databases, and Redis Utilize Docker Compose for defining and running more »

diverse range of data and gain a more comprehensive understanding of the industry. Tech stack required as a Senior Java Developer: Java Spring Microservices Kafka AWS REST APIs Python While working in an Agile environment, you will receive extensive benefits, including a 20% bonus, pension contributions, 25 days holiday more »

AWS CLI scripting & automation Good knowledge of CI\CD automation NoSQL Database Technology such as MongoDB CDC and streaming technologies such as Qlik Replicate & Kafka Basic data architecture principles, solutioning and ETL experience and containerisation Knowledge of database structures such as relational and dimensional modelling and design Designing and more »

for FIS On-Prem products such as POM & TWR Exposure to technology stacks such as Java, Standard Application servers, Kubernetes, Dockers, Elastic Search, MQ. Kafka, RESTFUL API, Transformer, API GWY & Microservice adapters such as CBIS, FSIS. Experience in deriving BCP plan for FIS PaaS Solution & Products Ideally some knowledge more »

elastic search , Kibana , logstash , Fleet and other integrations 3. Data Engineering - To develop and maintain 4. ETL pipelines and ingest data into Elastic 5. Kafka aware more »

As a Machine Learning Engineer: Apply Machine Learning Engineering project You will build the Machine Learning Infrastructures interacting with CI/CD pipelines, MLFlow, Kafka, and Kubernetes. You will be developing and Deploying Advanced Analytical algorithms/scalable solutions using Cloud. You will be working with a team of … of Machine Learning and clustering techniques with commercial experience as a Data Scientist. DevOps experience in CI/CD. Experience using Tensorflow, Kubernetes, MLFlow, Kafka, and Airflow. Experience using Python is a must (tools like AWS and Spark are beneficial) Excellent communication skills and team and colleague engagement. A more »

development, specifically with OpenStack and Kubernetes DevOps engineering. The ideal candidate will have a deep understanding of service assurance domains, log collection tools, and Kafka engineering. This role requires a proven ability to design, deploy, maintain, and scale Kafka for large-scale deployments, along with extensive DevOps engineering … OpenStack and Kubernetes. • Ensure service assurance through effective monitoring and logging using tools like Beats, Elastic Agent, and Logstash. • Design, deploy, maintain, and scale Kafka clusters for large-scale deployments. • Implement and manage CI/CD pipelines to ensure seamless integration and delivery. • Collaborate with cross-functional teams to … depth understanding of service assurance domains and related technologies. • Expertise in log collection tools and technologies (Beats, Elastic Agent, Logstash). • Proven experience in Kafka engineering, including design, deployment, maintenance, and scaling. • Excellent problem-solving skills and the ability to work in a fast-paced environment. • Strong leadership and more »

building distributed applications using SQL and/or NOSQL technologies like MS SQL, Sybase, Cassandra or Redis Prior experience in message brokers such as Kafka or messaging frameworks such as gRPC is a plus Understanding of relational databases is a must Strong analytical and software architecture design skills with more »

solutions to the cloud, including re-architecting Prior experience working on data focused projects e.g. data warehousing, big data, data streaming Proficiency with Apache Kafka, Apache Spark, Apache Flink etc. We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex more »

Maven, Helm Instrumentation and monitoring: Splunk, Prometheus, Grafana, Elk Languages and frameworks: Bash, Java, Groovy, Go, Python, React Big data technologies: Cassandra, ArangoDB, Hadoop, Kafka, MongoDB, minIO, Ceph About You: You have an automation-first mindset. You enjoy sharing your knowledge and have a thirst for expanding your own … tools such as Ansible, Helm, Puppet Experience working with VMWare Excellent knowledge of writing Jenkins deployment pipelines, using groovy and Jenkinsfiles Working knowledge of Kafka Practical experience of software delivery practices such as feature toggling, no-downtime deployments and blue-green deployments Knowledge of security best practices within the more »

Senior Software Engineer (VP) - Java, JavaScript, SpringBoot, Relational Database (Sybase), Kafka, Kotlin, Fixed Income Hybrid I am seeking a Senior Full Stack Developer (VP level) to join our client, a leading investment bank based in London. This role is within their front office team, where you will be working … and deployment of trading solutions. Stay current with the latest advancements in front office eTrading technologies and methodologies. Skills: Java JavaScript Sybase SpringBoot Kotlin Kafka Junit Hibernate Fixed Income JSP This is a full-time position with a hybrid work arrangement, requiring 3 days in the London office. The more »

Kubernetes, Terraform, CI/CD tools Strong observability experience, ideally with more modern approaches like Prometheus, Grafana, Open Telemetry Comfortable with databases Exposure to Kafka would be ideal This is a unique opportunity to work on all the retail mortgages for the bank, involving greenfield projects in sales and more »

testing and releasing data or storage systems End-to-end distributed systems experience (When we say distributed systems, we mean near-real-time like Kafka or Redpanda, not microservices Proficiency in writing and reading Python or Go programs, in addition to excellent shell scripting skills Experience with Terraform or more »

Management, Incident Response, and Capacity Planning for a number of their core services. Some of their key technologies are: AWS Cloud, Dynatrace, Terraform, Biztalk, Kafka Key Responsibilities: Part of the Platform Operations team with a heavy focus on platform and system operations in Production. Collaborate with Client Services, Application more »