551 to 575 of 976 Kafka Jobs in the UK

of distributed systems Nice to have: - Extensive experience working within a major buyside organistation or leading investment bank - Containers (Docker and/or Kubernetes) - Kafka McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds. More ❯

and contribute to architectural decisions. What We’re Looking For: Strong Python programming skills (5+ years preferred). Deep experience with distributed systems (e.g., Kafka, Spark, Ray, Kubernetes). Hands-on work with big data technologies and architectures. Solid understanding of concurrency, fault tolerance, and data consistency. Comfortable in More ❯

ll also need: An understanding of Kubernetes/Docker An excellent understanding of AWS deployment and configuration Experience working with message-driven architectures/Kafka/event sourcing Experience working on a highly secure application An understanding on how to translate business objectives into data driven insight 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 ❯

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 ❯

test development Problem solving and troubleshooting. Documentation. Participation in team meetings and supporting colleagues and co-workers Estimation of work Our technology stack includes Kafka/Kubernetes/Docker/Clickhouse/Git/Devops Languages we use include C#/React/Javascript/Typescript/SQL Experience More ❯

an expert in Java, you will also have strong skills in other technologies such as Python, MSSQL, Postgres, JavaScript/Typescript, React/AngularJS, Kafka, Docker, Kubernetes and GCP. Ideally, you will be experienced in the in-house development of specialist CRM systems with any Insurance or case management More ❯

based insurers or financial institutions. Familiarity with CI/CD pipelines and tools (e.g., Jenkins, Git, Docker). Knowledge of messaging frameworks or middleware (Kafka, MuleSoft, etc.). Ability to travel to London 1–2 times per month or for key project milestones. Offer: Competitive B2B daily rate. Long More ❯

based insurers or financial institutions. Familiarity with CI/CD pipelines and tools (e.g., Jenkins, Git, Docker). Knowledge of messaging frameworks or middleware (Kafka, MuleSoft, etc.). Ability to travel to London 1–2 times per month or for key project milestones. Offer: Competitive B2B daily rate. Long More ❯

applied experience in Cloud Computing, Microservices, Data Mesh Architectures, Architecture Frameworks and Stakeholder Management Review and improve modern cloud solution architectures (public cloud, microservices, kafka, no-sql, cockroachdb, datamesh) Develop an understanding of a portfolio of applications and technical capabilities and capture this knowledge in a standard notation/ More ❯

Information Systems, or another quantitative field. They should also have experience using the following software/tools: Experience with big data tools: Hadoop, Spark, Kafka, etc. Experience with relational SQL and NoSQL databases, including Postgres and Cassandra. Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc. More ❯

OpenLink and processes developed by the group Participate in capacity planning and performance/throughput analysis Consuming and publishing transaction data in AVRO over Kafka Automation of system maintenance tasks, end-of-day processing jobs, data integrity checks and bulk data loads/extracts Release planning and deployment Build More ❯

ISIS, BGP, BGP-LS, MPLS-VPNs). Expected: Experience with RESTful, gRPC APIs, and JSON/Protobuf. Open-source software experience (e.g., Netbox, Elastic, Kafka, gNMIc, Kong, fluentd, Prometheus). Some hands-on experience with Python programming. Experience with data modelling with Yang. Awareness of TM Forum API framework. More ❯

of innovation and challenge. We have over 300 tech experts across our teams all using the latest tools and technologies including Docker, Kubernetes, AWS, Kafka, Java, Scala, Python, .Net Core, Node.js and MongoDB. There's something for everyone. We're a place of opportunity. You'll have the tools More ❯

written in Java with a Postgres database and a JS framework frontend. It leverages technologies to enable high availability, scale, and reporting such as Kafka, Istio, and ElasticSearch. We leverage Kubernetes to host the product in the cloud. Our team leverages the public cloud catalogue primarily using Azure to More ❯

stakeholder management skills Preferred Experience with other systems such as LabWare, LabVantage, IDBS, SampleManager, Nugenesis, Empower Experience in cloud-based technologies (e.g. AWS, Kubernetes, Kafka, Snowflake, MongoDB, Oracle, JBoss) Personal Besides the professional qualifications of the candidates we place great importance in addition to various forms personality profile. These More ❯

stakeholder management skills Preferred Experience with other systems such as LabWare, LabVantage, IDBS, SampleManager, Nugenesis, Empower Experience in cloud-based technologies (e.g. AWS, Kubernetes, Kafka, Snowflake, MongoDB, Oracle, JBoss) Personal Besides the professional qualifications of the candidates we place great importance in addition to various forms personality profile. These More ❯

management, and operational automation. AI & Observability Product Development Work with engineering teams to develop an AI-driven observability and automation platform, leveraging: Telemetry ingestion (Kafka, OpenTelemetry, Fluentd). Streaming analytics (Flink, Spark, CEP engines). AI-driven anomaly detection & automation (AutoGPT, LangChain, MLflow, TensorFlow). Define technical requirements and More ❯

ELT pipeline design and implementation within Databricks. Proficiency in SQL, Python, and PySpark for data processing and analysis. Experience with streaming technologies such as Kafka for real-time data processing. Experience in data migration and integration for data warehouses, including cross-business unit delivery. Strong understanding of data governance More ❯

Services group (TTS) and is responsible for building a scalable, high-performance data platform on Big Data technologies (Spark, Scala, Hive, Hadoop) along with Kafka/Java and AI technologies to support core account data needs across multiple lines of businesses. As a tenant on the Vanguard ecosystem, CDP More ❯

Platforms e.g., Azure, AWS, GCP, etc. Pluses Keen interest and willingness to learn any of these technologies: Ansible, Chef, AWX, Service Now, Cutover, Autosys, Kafka, Kubernetes. Ability to drive projects, project planning, and documentation. We are an equal opportunity employer and value diversity at our company. We do not More ❯

production. Exposure to some of the following technologies (or equivalent): Apache Spark, AWS Redshift, AWS S3, Cassandra (and other NoSQL systems), AWS Athena, Apache Kafka, Apache Flink, AWS and service oriented architecture. What you'll get: Full responsibility for projects from day one, a collaborative team, and a dynamic More ❯

production. Exposure to some of the following technologies (or equivalent): Apache Spark, AWS Redshift, AWS S3, Cassandra (and other NoSQL systems), AWS Athena, Apache Kafka, Apache Flink, AWS, and service-oriented architecture. What you'll get: Full responsibility for projects from day one, a collaborative team, and a dynamic More ❯

data normalisation is required for the role. Equally, proficiency in Python and SQL is essential, ideally with experience using data processing frameworks such as Kafka, NoSQL, Airflow, TensorFlow, or Spark. Finally, experience with cloud platforms like AWS or Azure, including data services such as Apache Airflow, Athena, or SageMaker More ❯

patterns and their application in hybrid and cloud-native environments. You have experience with message brokers and event-driven systems using tools like Apache Kafka, RabbitMQ, or Azure Service Bus. Expertise in designing and managing RESTful APIs, GraphQL, or gRPC as well as API management tools like Boomi API More ❯