76 to 100 of 174 Kafka Jobs in the UK

integrity, data governance, data processing, data warehousing, and business intelligence. Expertise in modern data techniques using cloud technologies Experience with technologies such as Python, Kafka, ML/DL, AI, and Snowflake. Experience with transformation and change programs across large technology organizations. If this sounds like the role for you more »

machine learning, optimization, and process mining Knowledgeable about MLOps principles, CI/CD, model versioning, monitoring, and deployment Competent in utilizing Linux, Docker, AWS, Kafka, and git Consistent practice of best software development methodologies, inclusive of testing and deployment Capability to work autonomously, excellent collaborative skills, and effective communication more »

skill enhancement in these areas. Prior experience in constructing platforms employing event-based architecture and CQRS. Familiarity with AWS Services such as Aurora, MSK Kafka, ECS, EMR. Ability to compose automated unit/integration tests for solutions. Capability to construct and maintain CI/CD pipelines using Gitlab. Proficiency more »

performing, cross-functional team of ML engineers, data scientists, and domain experts. Evaluate and select appropriate ML models, frameworks, and technologies (e.g., TensorFlow, PyTorch, Kafka) to address specific business challenges. Collaborate with stakeholders (CTO, CEO, SVP of Legal Services, Product Management, Development teams) to integrate ML and LLM solutions more »

you have 3+ years of development experience in object-oriented programming using languages such as C# or Java (C# is preferred) Experience working with Kafka (highly advantageous) You have a strong knowledge of OOP and REST design principles. 1+ years of relational database experience including schema design and SQL more »

backend web services, dealing with low latency API services, scaling them. Cloud technologies such as AWS. Enthusiasm to learn new technologies like Spring, GraphQL, Kafka, ElasticSearch, k8s, Graph DBs and other tech we use. Why work at Noon? The opportunity to work within an innovative start up in its more »

similar tools Web services technology such as REST, JSON or Thrift Testing web applications with Selenium WebDriver Big data technology such as Hadoop, MongoDB, Kafka or SQL Network principles and protocols such as HTTP, TLS and TCP Continuous integration systems such as Jenkins or Bamboo Continuous delivery concepts #LI more »

bring new perspectives to our challenges We' d love to see: Experience working with distributed systems and telemetry Experience using middleware such as RabbitMQ, Kafka, Redis or ZooKeeper High standards in Automated Testing and SDLC (CI/CD) Experience working in an Agile environment An interest in mentoring, leading more »

get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable more »

have the following skills: Experience developing bespoke built enterprise scale cloud-native applications Strong experience with asynchronous technologies such as MQ/MQTT/Kafka Strong experience with API development and technologies Experienced advocate for practices such as Test Driven Development Experience with greenfield/exploratory development Experience with … have: Experience with observability and monitoring tools such as Datadog Familiarity with polyglot persistence and experience with a NoSql DB especially DocumentDB Experience with Kafka, HiveMQ, ElasticSearch Infrastructure as code experience using CDK/terraform If you are passionate about bringing innovation to the projects you work on and more »

technology team. You will primarily be coding in Kotlin and Python utilizing GitHub and ArgoCD for CI/CD, and working with Airflow, Spring, Kafka, and deployment to Kubernetes on AWS. Key Responsibilities Develop and maintain server-side applications using Kotlin and Python. Implement CI/CD pipelines with … Snowflake, BigQuery , and Spark. Familiarity with cloud-native applications and CI/CD environments. Strong multi-threading and concurrent programming knowledge . Experience with Kafka or similar, and Spring, Spring Boot, Spring Data, Spring Security, etc. Relational database design experience . Proven ability to design and deliver REST-based more »

in modern OLAP technologies like Snowflake & Lake house implementation with AWS integrations. Good to have experience in the streaming side of technology like Apache Kafka, Kinesis, and no SQL databases like Dynamo DB, demonstrable experience in PYTHON with frameworks like SPARK & good understanding on SNOWPARK & SNOWSQL. Experience around Scheduling more »

very small amount of scripting work) Have public cloud experience with AWS or other cloud providers Have an understanding of Apache products such as Kafka and Flake Good knowledge of development using CI/CD Bonus points if you knowledge of: Web products Financial markets They are a very more »

environment • Current or previous consulting experience highly desirable • Experience of working with companies in the finance sector highly desirable • Platform implementation experience (Apache Hadoop - Kafka - Storm and Spark, Elasticsearch and others) • Experience around data integration & migration, data governance, data mining, data visualisation, database modelling in an agile delivery-based more »

years' IT Architecture experience working in a software development, technical project management, digital delivery, or technology consulting environment • Platform implementation experience (Apache Hadoop - Kafka - Storm and Spark, Elasticsearch and others) • Experience around data integration & migration, data governance, data mining, data visualisation, database modelling in an agile delivery-based environment more »

clearance Experience with cloud technologies i.e. AWS or Azure Programming language experience i.e. Java, Python, node.js or SQL Data technologies experience i.e. PostgreSQL, MongoDB, kafka, Hadoop If you are interested in discussing this DevOps Engineer role further, please apply or send a copy of your updated CV to (url more »

clearance Experience with cloud technologies i.e. AWS or Azure Programming language experience i.e. Java, Python, node.js or SQL Data technologies experience i.e. PostgreSQL, MongoDB, kafka, Hadoop If you are interested in discussing this DevOps Engineer role further, please apply or send a copy of your updated CV to (url more »

all other kinds of interesting data/AI engineering products. Tech : AWS/Docker/Kubernetes/Terraform/Linux infrastructure/Python/Kafka You will work within their Data Engineering teams to design, build and manage secure integration and deployment pipelines ensuring the whole process is automated. more »

been voted as one of the best tech companies to work for globally! Requirements: 5+ years experience as a Java Developer. AWS Microservices Spring Kafka Location: Andover/hybrid 2 days on site. Salary: up to £70K + 7% bonus + up to 15% pension and healthcare. If you more »

through influence, coaching, mentoring, and effective communication. Ideal Candidate Profile: Proficient in Java (versions 11-17), GCP (preferred, but AWS or Azure also considered), Kafka, PostgreSQL, ElasticSearch, microservices, event-driven architecture, and Backend for Frontend (BFF) patterns. Knowledgeable in frontend technologies (ReactJS, NodeJS, TypeScript, JavaScript) and their role in more »

engineering principles and best practices Energetic and goal oriented Creative and independent thinker Experience with any of these technologies is an asset: Redis, RabbitMQ, Kafka, MongoDB, Docker, WebSocket, TCP, HTTP Experience with relational databases is an asset (PostgreSQL, MySQL, MS SQL Server, Oracle) Interest in financial markets and trading more »

in developing real-time analytics solutions, preferably with experience in time-series databases. Proficiency in technologies relevant to real-time analytics, such as KX, Kafka, Spark, Flink, and real-time visualization tools. Demonstrated ability to lead and mentor software engineering teams. Excellent problem-solving skills and the ability to more »

architecture. New services are AWS-hosted, primarily developed in Java, React, Typescript, taking advantage of Kubernetes for container orchestration, Terraform for infrastructure-as-code, Kafka for event publishing and consumption, Datadog for monitoring and alerting, amongst others. We favour AWS-managed services, such as RDS and MSK over self more »

design-focused and test-driven approaches Exposure to Front-end development exposure, ideally with Angular and TypeScript Exposure to high scale distributed technology like Kafka, Mongo, Ignite, Redis Exposure to building microservices and APIs ideally with REST, Kafka or gRPC Great analytical, problem-solving and communication skills Some more »

strong knowledge of data tools, data management tools, and various data and information technologies. E.g. DAMA DMBOK, Microsoft SQL Server, Couchbase, Apache Druid, Spark, Kafka, Airflow, etc In-depth understanding of modern data principles, methodologies, and tools Excellent communication and collaboration skills, with the ability to build strong relationships more »