76 to 100 of 258 Kafka Jobs in the UK excluding London

applications. Strong Python development skills. Data & Infrastructure: Experience with some of the following technologies is highly desirable: Frameworks & Infrastructure: Apache Spark Apache Airflow Kafka Elasticsearch/OpenSearch Databases: PostgreSQL MongoDB Vector databases such as Qdrant, Milvus, or pgvector Python Ecosystem: Pandas Polars Engineering Skills: Experience building highly scalable backend ...

Bundles * Terraform or Bicep * dbt or similar transformation frameworks * Retail or CPG data exposure such as POS, inventory, supply chain * Streaming technologies such as Kafka or Event Hubs Education * Degree in computer science, data engineering or related field, or equivalent practical experience ...

your colleagues to redress them, learn from them and make improvements for the long-term. Docker Java/Scala Event streaming technologies such as Kafka, Pulsar, or Azure Event Hub Integration with Collibra Apache Iceberg Apache Arrow Pyspark AI engineering (Snowflake AI, Langchain, Llamaindex, Pinecone, etc) Insight is committed ...

infrastructure-as-code practices Hands-on expertise with distributed data processing frameworks (e.g., Apache Spark, Hadoop) and real-time data streaming technologies (e.g., Kafka, Kinesis, Spark) Track record of collaborating with cross-functional teams (engineering, analytics, business stakeholders) to deliver impactful data solutions Experience evaluating, selecting, and integrating emerging ...

technical processes, with depth in disciplines such as cloud, AI/ML, or data engineering Experience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks (Airflow, Temporal) Advanced working knowledge of relational and NoSQL databases, vector stores, data lake ...

technical processes, with depth in disciplines such as cloud, AI/ML, or data engineeringExperience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks (Airflow, Temporal)Advanced working knowledge of relational and NoSQL databases, vector stores, data lake architectures ...

technical processes, with depth in disciplines such as cloud, AI/ML, or data engineering Experience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks (Airflow, Temporal) Advanced working knowledge of relational and NoSQL databases, vector stores, data lake ...

Kubernetes containerisation and orchestration Elasticsearch/Kibana Cloud services (AWS or Azure) Helm charts MongoDB Experience building enterprise level web applications or services Apache Kafka Benefits: £: Competitive salary Contributory Pension Scheme (up to 10.5% company contribution) 6 times salary 'Life Assurance' with pension 25 days holiday (increasing with service ...

technical processes, with depth in disciplines such as cloud, AI/ML, or data engineering Experience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks (Airflow, Temporal) Advanced working knowledge of relational and NoSQL databases, vector stores, data lake ...

operate our platforms Requirements Strong backend engineering experience with cloud‐based systems (Azure, AWS or GCP) Experience designing distributed or event‐driven architectures (Kafka or similar) Proficiency in TypeScript/Node.js and/or Python Experience building scalable APIs and microservices Working knowledge of containers and cloud‐native delivery ...

systems you work on, from design through to deployment and supporting them in production. Skills: Java and Spring Boot REST APIs and Kafka event-driven systems AWS (including S3, Lambda, ECS, EKS, MSK) TDD, CI/CD and IaC Observability AI assisted engineering The money is good ...

commercial experience developing applications using Java and Spring Boot . Extensive experience with AWS and cloud-based application development. Strong hands-on experience with Kafka and event-driven architectures. Experience working with MongoDB or similar NoSQL databases. Proven ability to lead technically and mentor junior/mid-level developers ...

commercial experience developing applications using Java and Spring Boot . Extensive experience with AWS and cloud-based application development. Strong hands-on experience with Kafka and event-driven architectures. Experience working with MongoDB or similar NoSQL databases. Proven ability to lead technically and mentor junior/mid-level developers ...

notebooks (most AI libraries are Python-first); ability to translate patterns into Java implementations. Nice to haves: Camunda BPM or similar K8s Angular Kafka Job Offer 25 days + BHS Private medical Bonus of 5-10% Pension 5% Life insurance ...

need to have the following: * Strong, production-grade Go experience * Experience building distributed/event-driven systems at scale * Experience of message brokers NATS, Kafka, RabbitMQ or similar * Solid database experience with PostgreSQL * Comfortable operating in Kubernetes and working with Terraform or equivalent infrastructure-as code, across ...

Strong commercial experience in data engineering and modern data platforms. Advanced programming skills in Java or Python. Expertise working with technologies such as Kafka, Spark, Flink or similar distributed data frameworks. Experience delivering solutions within AWS or other major cloud platforms. Strong understanding of data architecture, scalability and performance ...

defect management and root cause analysis experience. Strong stakeholder management and communication skills. ISTQB or ISEB Foundation Certification. Desirable Skills Playwright BDD/TDD Kafka OpenShift CI/CD pipelines Jenkins API Testing Post-trade settlement platforms Securities processing Clearing and Custody systems *Rates depend on experience and client ...

processes, and data cataloguing AI/ML platforms: Amazon Kiro, SageMaker, or similar AI integration experience Event-driven architecture: EventBridge, SQS, SNS, and Kafka/MSK DevOps & observability: CloudWatch, X-Ray, Dynatrace, CI/CD pipelines Database technologies: DynamoDB, PostgreSQL, DocumentDB, Neptune Please note that this ...

multi-agent and event-driven orchestration architectures. Full-stack engineering capability with architectural ownership, including front-end (Angular or equivalent), middleware/event streaming (Kafka, JMS, RabbitMQ), and relational data platforms (Oracle/MySQL), enabling end-to-end platform design and optimisation. Proven track record of delivering production-grade ...

success: Strong backend engineering experience with cloud‐based systems (Azure, AWS or GCP) Experience designing distributed or event‐driven architectures (Kafka or similar) Proficiency in TypeScript/Node.js and/or Python Experience building scalable APIs and microservices Working knowledge of containers and cloud‐native delivery approaches Curiosity about ...

REQUIREMENTS : Experience of performance tuning Experience of data visualisation and complex data transformations Experience with steaming and event-processing architectures including technologies such as Kafka and change-data-capture (CDC) products Expertise in continuous improvement and sharing input on data best practice Practical experience with AI technologies, tools, processes ...

outputs, and adherence to resiliency and security expectationsPreferred qualifications, capabilities, and skillsFamiliarity with modern front-end technologiesExposure to cloud technologiesExperience with Java, Spring Boot, Kafka, or Kubernetes in an enterprise environmentFamiliarity with container orchestration and microservices architecture patternsJ.P. Morgan is a global leader in financial services, providing strategic advice ...

modernization drive, will be introducing new ones. The sorts of technologies include: Java, Micronaut, PL/SQL ReactJS, Next.js Azure Cloud, Dynatrace (observability) Mule, Kafka, MQ Blue Yonder Dispatcher Essential ExperienceSignificant track record of strategic and innovative thinking, as well as execution and implementation Specialist in clean code ...

DevOps pipelines for data platform deployments. Databricks: Delta Lake, Unity Catalog, Workflows, Notebooks, Clusters, MLflow. Azure: ADLS Gen2, Azure Data Factory, Event Hubs/Kafka, Key Vault, Functions, Synapse. AI Foundry, Networking, APIM Knowledge, Azure App Service, App Service Plan Deployment and Configuration, Integration with Azure bot Services ...

traditional data warehouses An understanding of machine learning model development lifecycle, feature engineering, training and testing Good understanding or hands‐on experience of Kafka Experience as a DBA or developer on RDBMS such as PostgreSQL, MySQL, Oracle or SQL Server Experience designing data applications to meet non‐functional requirements ...