51 to 75 of 174 Kafka Jobs in the UK

software components. Scrum based SDLC. Monitoring and automation of the processes. Use of Front End Technologies like Angular or React. Experience with Java 11+, Kafka, Docker/Kubernetes, Spring Boot, Multithreading, Concurrency. Experienced with Messaging Systems. Knowledge of Global Markets would be beneficial. Expert in Secure REST interface design more »

modeling, data governance, and data security principles. Desirable skillsets - Docker, Kubernetes - CI/CD pipelines & IaC. - Certified in one or more: Databricks or AWS. - Kafka and/or Spark more »

and Python Experience with ETL processes, data integration, and data warehousing. Strong SQL skills Experience with Big Data technologies such as Hadoop, Spark, and Kafka Familiarity with cloud platforms (AWS, Azure, Google Cloud) Working knowledge of data visualisation tools (PowerBI, Tableau, Qlik Sense) Additional Skills: Client-facing and communication more »

mentoring junior developers in your team Modern ways of working with TDD Developing in microservices architecture Use of frameworks such as Spring Messaging with Kafka Your main role as a Senior Software Developer will be to mentor the junior team members as you embark on a project to optimise more »

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

a real impact. Scala Developer's Key Responsibilities: Design and implement real-time data processing solutions and RESTful microservices using Scala , leveraging technologies like Kafka, Cassandra, Kubernetes, GCP, and AWS. Utilize Akka HTTP and Akka Streams to maintain and enhance existing services. Innovate and integrate machine learning techniques to more »

quickly as circumstances dictate. Demonstrated leadership and project management skills. Consistently demonstrates clear and concise written and verbal communication. Experience with Kubernetes, microservices, REST, Kafka and data streaming is desirable. Education: University degree (Master s degree preferred) or equivalent experience. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time more »

CI/CD, build pipelines and source control systems. Desirable: At least 3 years experience with microservices and using related tools e.g. Docker, AWS, Kafka, Lambda. Working knowledge of cloud infrastructure services: compute, storage, networking, hybrid connectivity, monitoring/logging, security and IAM. Experience with data science libraries. Knowledge more »

pytorch, scikit-learn, transformers, XGBoost, ResNet), geospatial libraries (shapely, geopandas, rasterio), CV libraries (scikit-image, OpenCV, yolo, Detectron2). AWS, Postgres, Apache Airflow, Apache kafka, Apache Spark Mandatory requirements: You have at least 5 years of experience in the DS role, deploying models into production; You have proven experience more »

financial services or hedge fund industry.Technical Skills:Proficiency in Python and SQL.Experience with relational and NoSQL databases.Knowledge of big data frameworks (e.g., Hadoop, Spark, Kafka).Understanding of financial markets and trading systems.Strong analytical, problem-solving, and communication skills.Familiarity with DevOps tools and practices.This is an exciting opportunity for a more »

hedge fund industry. Technical Skills: Proficiency in Python and SQL. Experience with relational and NoSQL databases. Knowledge of big data frameworks (e.g., Hadoop, Spark, Kafka). Understanding of financial markets and trading systems. Strong analytical, problem-solving, and communication skills. Familiarity with DevOps tools and practices. This is an more »

with a full-stack background, ideally more back-end/data weighted but their tech stack is: TypeScript, Node.js, Next.js/React, Python, MongoDB, Kafka, Temporal.io, Docker, Kubernetes, and AWS Interview Process: Initial screening call with HR Zoom interview with Engineering Leadership In-person meeting with CPO/CEO more »

good Software Developer will have experience in: Ideally Kotlin (or Java ) Spring Boot Microservices architecture Public Cloud e.g. AWS or GCP Messaging queues with Kafka TDD This is an excellent opportunity for a Software Developer looking to gradually take on more responsibilities and progress their career as there are more »

management principles. Proficiency in developing high-performance, low-latency systems and real-time data processing. Experience with databases (SQL and NoSQL), message queuing systems (Kafka, RabbitMQ), and in-memory data grids (Redis, Hazelcast). Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment. more »

greenfield payments platform The candidate: 4+ years experience as a Java Developer. Strong experience in Spring, Spring Boot. Experience in AWS Strong experience with Kafka and Microservice based design Experience working with a modern tech stack Expert in domain driven design and test automation CI/CD Pipeline experience more »

software design principles Expertise in SQL queries, database performance tuning, and scalable schema design Hands-on experience with data-processing systems (e.g., Lambda architecture, Kafka, RabbitMQ, ELK) Storage solutions (Cassandra, Postgres, Redis, Zookeeper) VMs and container technologies (Docker, Kubernetes) You believe data is the most powerful tool for informed more »

and within budget. Experience Gov experience APIs - API and Event Based architecture design patterns, including pub-sub and data streaming Secure File Transfers AWS Kafka Kong Azure Kubernetes Azure Service Bus Architecting events-based architecture across multiple data centres and public clouds API Gateway and micro-gateway patterns and more »

big data system (AWS, GCP) Professional experience with SQL and Python is a must Deep understanding and experience with real-time streaming, more specifically Kafka Successful experience designing, building and scaling a production service Experience owning multi month long projects, including communication of progress, dependencies, and risk mitigation directly more »

depth knowledge and hands-on experience with foundational AWS services, such as; ALB, ECS, S3, ElastiCache, IAM, CloudWatch. Demonstrated expertise in implementing and maintaining Kafka-based event-driven services. Proficiency in both relational and NoSQL databases, with an understanding of database design, optimization, and management. Strong skills in Infrastructure more »

We practice agile, test-first and collaborative development using Java, Kotlin, C++, JavaScript and Oracle and leverage cutting-edge technologies such as MongoDB, ClickHouse, Kafka, Redis, Ignite, gRPC, Spark, and Tableau. We build cloud-ready solutions and host them on-premises (Google Anthos) and on public cloud (Google GKE more »

EC2, ECS, EMR, AWS Lambda, DynamoDB, S3, Kinesis, SQS, SES, Cloudwatch.... Knowledge or experience with big data technologies such as Spark, Hadoop, Redshift, Snowflake, Kafka, Flink, Druid, Clickhouse... is highly desirable. Benefits Flexible work arrangements to support a healthy work-life balance 25 vacation days (excluding bank holidays) and more »

with at least one or more of these programming languages: Python, Scala/Java Experience with distributed data and computing tools, mainly Apache Spark & Kafka Understanding of critical path approaches, how to iterate to build value, engaging with stakeholders actively at all stages. Able to deal with ambiguity and more »

per day. This will be working out of their London based office and 2-3 days per week onsite. Technical skillset: Golang Kafka Kubernetes SQL CI/CD experience with relevant tooling with Jenkins, Docker or Terraform Cloud services experience, ideally with AWS Bonus: Payments experience Python experience For more »

architecture and engineering, ideally on Microsoft Azure (Kubernetes Service, Container Apps, App Service, Functions, Event Grid and Service Bus) Experience with Messaging platforms, ideally Kafka Experience with Containers, ideally Kubernetes Architectural design patterns and how these are applied practically in code implementation SDLC experience in an agile environment If more »

and node.js to streamline deployment processes. - Manage and optimize relational databases (e.g., PostgreSQL), NoSQL databases (e.g., M MongoDB), and implement data streaming solutions (e.g., Kafka) for efficient data handling. - Work with big data technologies such as Hadoop to manage and analyse large datasets. Qualifications: - Bachelor's Degree in Computer more »