26 to 50 of 93 Kafka Jobs in the South East

stack & environment Python-first backend development. Cloud-native infrastructure (AWS preferred). Containerisation and orchestration (Docker, Kubernetes). Message queues and streaming systems (e.g. Kafka, SQS, RabbitMQ). Relational and/or NoSQL databases. CI/CD pipelines, observability, monitoring, and logging as first-class concerns. Exposure to computer ...

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 ...

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 ...

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 ...

worry. Additional exposure to the following is desired: - Tech Stack you will learn Hadoop and Flink RUST, Javascript, React, Redux, Flow Linux, Jenkins Kafka, Avro, Kubernetes, Puppet Involvement in the Java community My client is based London. Home work is encouraged but you will need to be able ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

analytics Experience with version control (Git) and collaborative development workflows Nice to Have Experience with Power BI and semantic models Exposure to streaming technologies (Kafka, Event Hubs, Spark Structured Streaming) Infrastructure-as-code experience (Bicep, Terraform) CI/CD tooling (Azure DevOps, GitHub Actions) Familiarity with data governance ...

experience in Support, DevOps, SRE, or related technical roles, ideally within financial technology environments. Strong technical expertise with Python, Unix, PostgreSQL, and familiarity with Kafka, CockroachDB, FastAPI, GraphQL, Snowflake, Redis, and QuestDB or equivalent technologies. Proven experience designing and implementing monitoring and alerting tools (DataDog, Grafana). Solid experience ...

GraphQL, REST APIs Frontend expertise with ReactJS, NextJS, Typescript, Chakra UI Experience with MySQL and NoSQL databases Familiarity with messaging/event-driven systems (Kafka) Ability to work closely with designers (Figma) and translate complex business logic into intuitive UI/UX Problem-solver with strong debugging, troubleshooting ...

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 ...

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 ...

Inside IR35) Sector: Banking Key Skills & Experience Active SC Cleared/SC Clearance/DV Cleared/DV Clearance Backend/BE Java, Kafka Spring (Framework, Boot, Data) Postgres OpenSearch/ElasticSearch NodeJS Rest API Wiremock (API mocking) Frontend/FE React TypeScript/JavaScript (when used ...

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 ...

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 Proactive ...

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 ...

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 ...

Python, SQL, PySpark, strong data engineering principles. Bonus Skills: Graph technologies (RDF, OWL, SPARQL), cloud platforms (AWS/Azure/GCP), integration tools (Airflow, Kafka, Elasticsearch). Previous leadership experience in data-focused teams. Although a practice lead role this is still a hands on role ...