1 to 25 of 158 Kafka Jobs in the City of London

Role – Technology Architect/Confluent Solution Architect Technology – Apache Kafka, Confluent Platform, Stream Processing Location – UK, Germany, Netherlands, France & Spain Job Description Today, the corporate landscape is dynamic and the world ahead is full of possibilities! None of the amazing things we do at Infosys would be possible without an equally amazing culture, the environment where ideas can flourish … values are upheld only because of our people. Your role As a Confluent Solution Architect, you will lead the design and architecture of enterprise-grade streaming solutions using Apache Kafka and the Confluent Platform. You will work closely with clients to understand business requirements, define integration strategies, and guide implementation teams in building scalable, secure, and resilient data streaming … ecosystems. Strongly Preferred: • Experience in designing and architecting solutions using Apache Kafka, with hands-on experience in Confluent Kafka • Ability to lead client engagements, translate business requirements into technical solutions, and guide implementation teams • Deep understanding of Kafka internals, KRaft architecture, and Confluent components • Experience with Confluent Cloud, Stream Governance, Data Lineage, and RBAC • Expertise in stream More ❯

Role – Technology Architect/Confluent Solution Architect Technology – Apache Kafka, Confluent Platform, Stream Processing Location – UK, Germany, Netherlands, France & Spain Job Description Today, the corporate landscape is dynamic and the world ahead is full of possibilities! None of the amazing things we do at Infosys would be possible without an equally amazing culture, the environment where ideas can flourish … values are upheld only because of our people. Your role As a Confluent Solution Architect, you will lead the design and architecture of enterprise-grade streaming solutions using Apache Kafka and the Confluent Platform. You will work closely with clients to understand business requirements, define integration strategies, and guide implementation teams in building scalable, secure, and resilient data streaming … ecosystems. Strongly Preferred: • Experience in designing and architecting solutions using Apache Kafka, with hands-on experience in Confluent Kafka • Ability to lead client engagements, translate business requirements into technical solutions, and guide implementation teams • Deep understanding of Kafka internals, KRaft architecture, and Confluent components • Experience with Confluent Cloud, Stream Governance, Data Lineage, and RBAC • Expertise in stream More ❯

of experience in software development (with 3+ years in Golang preferred). Strong understanding of concurrency, distributed systems , and microservices architectures . Experience with REST/gRPC APIs , PostgreSQL , Kafka , or similar technologies. Familiarity with Docker , Kubernetes , and cloud platforms (AWS, GCP, or Azure). Excellent problem-solving skills and a passion for clean, efficient code. Bonus: Experience in More ❯

product roadmap, building next-generation platforms and payment systems that are shaping the future of digital lending. Tech Stack Java 11+ Spring Boot AWS Microservices architecture Docker/Kubernetes Kafka (or similar messaging tools) Key Responsibilities Design and develop high-performance, low-latency software components. Contribute across the full software development lifecycle. Write and maintain clean, testable, scalable code. More ❯

Azure, or GCP). Excellent communication skills, capable of motivating and aligning technical teams. Desirable: Experience with AI tools, APIs, ML pipelines, containerisation (Docker/Kubernetes), event-driven architecture (Kafka/RabbitMQ). Benefits: Hybrid working model (minimum 3 days a week in office) 25 days annual leave plus bank holidays Flexible holiday scheme Contributory pension scheme Enhanced family More ❯

solutions in cloud and on-prem environments. Required Skills & Experience Strong proficiency in Python , including libraries such as Pandas, NumPy, and PySpark. Experience with data engineering tools (e.g., Airflow, Kafka, SQL, Parquet). Solid understanding of commodities markets , trading workflows, and financial instruments. Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes). Proven ability to More ❯

solutions in cloud and on-prem environments. Required Skills & Experience Strong proficiency in Python , including libraries such as Pandas, NumPy, and PySpark. Experience with data engineering tools (e.g., Airflow, Kafka, SQL, Parquet). Solid understanding of commodities markets , trading workflows, and financial instruments. Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes). Proven ability to More ❯

a UK citizen or hold the right to work without visa restrictions. About you: You have strong backend software engineering experience with TypeScript and Node.js You have experience with Kafka and Event Driven Architectures You have a good knowledge of microservices, RESTful APIs and scalable system architecture You have experience of working with relational and NoSQL databases (PostgreSQL, MySQL More ❯

AI-driven automation, predictive analytics , and intelligent risk modelling . Experience with Rust , WebAssembly , or cross-runtime architectures . Solid grounding in data pipelines, APIs, and distributed messaging systems (Kafka, ZeroMQ, etc.). Why Apply This is a flagship product being rolled out across the bank’s global capital markets division — you’ll have visibility, autonomy, and the chance More ❯

AI-driven automation, predictive analytics , and intelligent risk modelling . Experience with Rust , WebAssembly , or cross-runtime architectures . Solid grounding in data pipelines, APIs, and distributed messaging systems (Kafka, ZeroMQ, etc.). Why Apply This is a flagship product being rolled out across the bank’s global capital markets division — you’ll have visibility, autonomy, and the chance More ❯

data governance processes. Experience with version control systems (e.g., Git). Experience with Agile development methodologies. Excellent communication, interpersonal, and problem-solving skills. Experience with streaming data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and practices (e.g., Azure DevOps, Jenkins, Docker, Kubernetes). Experience working More ❯

data governance processes. Experience with version control systems (e.g., Git). Experience with Agile development methodologies. Excellent communication, interpersonal, and problem-solving skills. Experience with streaming data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and practices (e.g., Azure DevOps, Jenkins, Docker, Kubernetes). Experience working More ❯

technical leadership, enabling teams to deliver robust, scalable, and secure services. With a strong foundation in backend technologies, including Java and Spring Boot, and event-driven systems such as Kafka, you’ll influence systems well beyond your own code, ensuring architectural integrity and high engineering standards across multiple teams. You’ll play a pivotal role in aligning technical strategy More ❯

technical leadership, enabling teams to deliver robust, scalable, and secure services. With a strong foundation in backend technologies, including Java and Spring Boot, and event-driven systems such as Kafka, you’ll influence systems well beyond your own code, ensuring architectural integrity and high engineering standards across multiple teams. You’ll play a pivotal role in aligning technical strategy More ❯

Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending December 2024 totaled $13.8 billion. Preferred/Desired Skills Java coding, cloud computing preferable AWS, Kubernetes, Kafka and Terraform experience and knowledge Job Description: Building microservices in Java, ideally with a broad experience of frameworks, including asynchronous frameworks like Project Reactor Designing, building, deploying and running More ❯

product engineering background to join their team, building highly available, scalable systems that power next-generation payments. Your Background/Tech Stack Java with Spring Reactive programming (AKKA etc) Kafka or JMS Solid understanding of CI/CD pipelines, automation, and Agile delivery practices. Experience working with MongoDB or other NoSQL databases. The Role Play a key role in More ❯

of professional experience in backend software development (with at least 1–2 years using Golang). Solid understanding of distributed systems , concurrency , and API design . Experience with PostgreSQL , Kafka , Redis , or similar technologies. Familiarity with Docker , Kubernetes , and cloud platforms (AWS, GCP, or Azure). Strong problem-solving skills and attention to performance and reliability. Bonus points for More ❯

Contribute to architectural decisions and guide best practices across the engineering team 🧰 Tech Stack Core: Python (FastAPI, Django, or Flask) Infrastructure: AWS/GCP, Docker, Kubernetes Data: Postgres, Redis, Kafka, S3 CI/CD & DevOps: GitHub Actions, Terraform, Pulumi AI/ML Ecosystem: PyTorch, Hugging Face, LangChain (or similar) 👀 About You 4+ years of professional experience building production-grade More ❯

and general knowledge of the framework) Experience in building complex, large-scale software solutions from scratch to live production Experience with Java, Spring Boot, Spring Data, JPA, Swagger, Maven, Kafka, PostgreSQL, Jenkins, GIT, RESTful Services, Docker Strong analytical skills Self-starter, fast learner, and great interpersonal skills Excellent English communication skills – spoken and written Financial affinity is an advantage More ❯

expertise with GCP including BigQuery, Pub/Sub, Cloud Composer and IAM You have strong Python, SQL and PySpark skills You have experience with real-time data streaming using Kafka or Spark You have a good knowledge of Data Lakes, Data Warehousing, Data Modelling You're familiar with DevOps principles, containerisation and CI/CD tools such as Jenkins More ❯

and general knowledge of the framework) Experience in building complex, large-scale software solutions from scratch to live production Experience with Java, Spring Boot, Spring Data, JPA, Swagger, Maven, Kafka, PostgreSQL, Jenkins, GIT, RESTful Services, Docker Strong analytical skills Self-starter, fast learner, and great interpersonal skills Excellent English communication skills – spoken and written Financial affinity is an advantage More ❯

team of engineers across multiple global locations. Drive architectural improvements, performance optimisation, and best engineering practices. Technology Environment Languages: Python Architecture: Cloud-native, containerised microservices (Kubernetes, Docker). Infrastructure: Kafka, Terraform, Jenkins, Git, CI/CD pipelines. Data: SQL/NoSQL databases, distributed data processing, data lake environments. Quant Integration: Comfortable working with quant libraries and APIs. Ideal Profile More ❯

team of engineers across multiple global locations. Drive architectural improvements, performance optimisation, and best engineering practices. Technology Environment Languages: Python Architecture: Cloud-native, containerised microservices (Kubernetes, Docker). Infrastructure: Kafka, Terraform, Jenkins, Git, CI/CD pipelines. Data: SQL/NoSQL databases, distributed data processing, data lake environments. Quant Integration: Comfortable working with quant libraries and APIs. Ideal Profile More ❯

for data workflows. Excellent communication skills and ability to collaborate across teams. Preferred Qualifications Experience with Databricks Unity Catalog and Delta Live Tables. Familiarity with streaming frameworks (Structured Streaming, Kafka, etc.). Background in data observability and metadata management. Exposure to machine learning pipelines or MLflow within Databricks. Knowledge of infrastructure as code (IaC) using Terraform or similar tools. More ❯

for data workflows. Excellent communication skills and ability to collaborate across teams. Preferred Qualifications Experience with Databricks Unity Catalog and Delta Live Tables. Familiarity with streaming frameworks (Structured Streaming, Kafka, etc.). Background in data observability and metadata management. Exposure to machine learning pipelines or MLflow within Databricks. Knowledge of infrastructure as code (IaC) using Terraform or similar tools. More ❯