101 to 125 of 255 Kafka Jobs in the UK

familiarity with frameworks (e.g. Flask, Django) Experience building and orchestrating ETL pipelines (e.g. Airflow, Luigi, Argo) Exposure to big data technologies (e.g. Spark, Kafka, Hadoop) Experience working in Agile environments Solid understanding of data architecture and data quality best practices ...

pandas, NumPy, scikit-learn) and SQL. Experience in data science , machine learning, and predictive modelling. Background in data engineering (ETL pipelines, streaming tech like Kafka). Familiarity with cloud platforms (AWS, Azure, GCP). Excellent communication skills for technical and non-technical stakeholders. Exposure to financial services or willingness ...

query optimisation. Preferred Qualifications Snowflake certifications (SnowPro Core or Advanced). Experience with DBT Cloud and custom macros. Exposure to real-time streaming (Kafka, Kinesis). Familiarity with data observability tools and BI integrations (Tableau, Power BI). On offer Opportunity to work with modern data technologies and large ...

. Familiarity with low-latency patterns, high-throughput messaging, and microservices. Additional Skills Experience with Linux, shell scripting, and performance analysis tools. Knowledge of Kafka, Redis, Aerospike, or other high-performance data stores. Understanding of order lifecycle, price feeds, and eTrading workflows in fixed income/rates. ...

lives. Nice to have Exposure to Node.js/NestJS services (or similar), authentication flows, and fintech integrations. Familiarity with Postgres , event-driven systems (e.g., Kafka ), and cloud infrastructure (e.g., AWS , Docker, CI/CD). How You’ll Make a Difference Build core mobile features: Deliver secure, scalable React ...

Excellent communication, problem-solving and documentation skills Desirable: Experience with cloud data platforms (AWS, Azure or GCP) Exposure to big data technologies (Hadoop, Spark, Kafka) Familiarity with ETL/orchestration tools (e.g. Informatica, Talend, Airflow) Experience with API integration and microservices data flows Familiarity with AI/ML data ...

last 5–6 years, with further scaling planned.This is business-critical software, reliability, accuracy and performance genuinely matter.The technology: Java, Springboot, Microservices, AWS, Kafka, CI/CD.The role goes beyond writing code, you’ll contribute to system design, architectural decisions, and long-term platform evolution.What they’re looking ...

Azure Data Factory) Solid understanding of data warehousing and big data concepts Preferred Qualifications Experience with real-time/streaming data (Spark Structured Streaming, Kafka, etc.) Knowledge of CI/CD for data pipelines Experience supporting machine learning pipelines Databricks or cloud platform certifications To apply for this role ...

optimisation. Programming Proficiency: Proficiency in Python and Bash (for data processing, scripting, and automation). Data Streaming: Familiarity with streaming data technologies (e.g., Kinesis, Kafka, or similar). DevOps Principles: Experience with version control (git) and CI/CD for data pipelines. BI/Visualisation: Familiarity with ...

components, or Python for data and ML workflows. Distributed Systems Expertise: Deep experience building high-throughput, fault-tolerant systems using modern messaging standards (e.g., Kafka , ZeroMQ , NATS ). Systems-Level Intuition: You are comfortable debugging and profiling at the OS level, understanding memory management, CPU architecture, and network stack ...

Senior Java Developer/Software Engineer (Java AWS Kafka) London/WFH to £140k Are you a Java technologist who enjoys building systems from scratch? You could be progressing your career, in a senior, impactful role at a global, cloud-native, prime broker that is replacing the legacy infrastructure ...

Node.js) Experience with AWS, Linux, ReactJS, MySQL (RDS), Elasticsearch Ecommerce & payment solution design experience, including Order-to-Cash Middleware and event-driven systems knowledge (Kafka) Experience enabling AI across design, development, and testing Nice to Have: Netlify, Noibu, Constructor ...

ecommerce solutions and payment · Design and development experience in eCommerce and payment · Functional knowledge about order orchestration – (order to cash) · Functional understanding of middleware – (Kafka) · Additional knowledge or exposure required · Netlify · Noibu · Constructor ...

ecommerce solutions and payment · Design and development experience in eCommerce and payment · Functional knowledge about order orchestration – (order to cash) · Functional understanding of middleware – (Kafka) · Additional knowledge or exposure required · Netlify · Noibu · Constructor ...

Experience with Agentic AI, LLMs, or autonomous agents Solid understanding of MLOps & CI/CD Experience with cloud platforms, Azure Familiarity with Spark, Kafka, Airflow, Docker, and Kubernetes Nice to Have Experience with vector databases (Pinecone, FAISS, Weaviate) ML platforms like MLflow, Kubeflow, SageMaker RAG, embeddings, or knowledge graphs ...

communications across multiple digital touchpoints Collaborate with Product, Data, Marketing, and Engineering teams across multiple locations Tech stack Node.js (TypeScript), Ruby Event-driven systems (Kafka), APIs AWS/GCP, Kubernetes Why it’s exciting Work at scale in a high-traffic, consumer-facing environment Strong engineering culture: automated testing ...

around code quality, testing and reliability Participate in team support and operational responsibilities Technology Environment Core Java (deep JVM knowledge – minimal reliance on frameworks) Kafka & event-driven architectures Low-latency, high-throughput systems Kubernetes (services, deployments, stateful sets) Terraform Hazelcast/Hazelcast Jet (bonus) Get in touch! - Darnell@Thyme.Global ...

business-critical pre-trade platform. What you'll need to succeed : Extensive Java development experience within investment banking or commodities - must have. Extensive Kafka experience. Working knowledge of Python frameworks, e.g. Django, Flask, Pandas etc. Strong experience with data streaming standards and design patterns. Good knowledge of Microsoft ...

test suites Proficiency with Unix-like operating systems Knowledge in tools and techniques for web development Desirable Experience Jackson, JAX-RS, Mockito, ActiveMQ or Kafka MongoDB or other document databases High-traffic website scaling Handling large data sets Closing Statement: If you would like to discuss further about this ...

familiarity with frameworks (e.g. Flask, Django) Experience building and orchestrating ETL pipelines (e.g. Airflow, Luigi, Argo) Exposure to big data technologies (e.g. Spark, Kafka, Hadoop) Experience working in Agile environments Solid understanding of data architecture and data quality best practices ...

multi-threading and performance optimisation Git, CI/CD, testing practices Nice to Have Advanced Windows internals or disassembly-level debugging Messaging systems (Kafka, ZeroMQ, Solace) Distributed systems or cloud exposure Python or C# Scripting Trading systems or market data experience ...

with digital twin frameworks (topology/graph modeling, intent-based orchestration), AIOps platforms (anomaly detection, noise reduction, predictive insights), and streaming/data pipelines (Kafka, Pub/Sub, Dataflow) Familiarity with cloud-native (GCP/Azure/AWS), Kubernetes, API-first integration, and observability stacks (metrics, logs, traces) Experience ...

modeling, schema design, normalization, and multidimensional modeling. - Experience with ETL/ELT tools (Glue, Informatica, Airflow). - Knowledge of Big Data technologies (Spark, Hadoop, Kafka). - Strong understanding of API-based integrations. Preferred Skills: - NoSQL experience (MongoDB, DynamoDB). - Snowflake/Redshift/Databricks exposure. - CI/ ...

client systems within a microservices environment (300 services). You'll be working with a modern tech stack using C# .Net Core, AWS, Kubernetes, Kafka, Redis and TypeScript/Angular; using the right tool for the job, you'll be able to pick up new technologies and make recommendations ...

object-oriented programming, data structures, and design patterns. Familiarity with market risk, credit risk, or counterparty risk concepts. Experience with messaging systems (e.g., Solace, Kafka, or RabbitMQ) and distributed architecture. Solid understanding of multi-threaded and low-latency system design. Exposure to quant libraries, risk factor decomposition, or sensitivities ...