101 to 125 of 176 Kafka Jobs in the City of London

and data pipeline tools Strong expertise in programming languages such as NodeJS Experience with cloud services like AWS or Google Cloud Platform Knowledge of data streaming technologies like Apache Kafka or AWS Kinesis What’s on offer £80,000–£90,000 salary Three office days: Monday, Tuesday, and Thursday (remote on Wed/Fri) Flat structure with progression based More ❯

in Elixir Design distributed, high-throughput services and real-time infrastructure. Collaborate across teams to deploy and optimize microservices. Requirements Proven experience with Elixir (3+ years) Familiar with PostgreSQL , Kafka/RabbitMQ , Docker , and AWS/GCP . Great communicator who thrives in collaborative hybrid teams. More ❯

in Elixir Design distributed, high-throughput services and real-time infrastructure. Collaborate across teams to deploy and optimize microservices. Requirements Proven experience with Elixir (3+ years) Familiar with PostgreSQL , Kafka/RabbitMQ , Docker , and AWS/GCP . Great communicator who thrives in collaborative hybrid teams. More ❯

governance. Nice-to-have Text-to-Cypher/SPARQL with safety filters and small eval sets. MCP-style tool contracts for safe agent access. Streaming/ELT at scale (Kafka/Databricks/PySpark). More ❯

governance. Nice-to-have Text-to-Cypher/SPARQL with safety filters and small eval sets. MCP-style tool contracts for safe agent access. Streaming/ELT at scale (Kafka/Databricks/PySpark). More ❯

.NET Core Proven experience building microservices-based architectures Strong knowledge of Azure Cloud Services (Functions, Service Bus, Event Hub, Kubernetes, etc.) Experience with event-driven/message-based systems (Kafka, RabbitMQ, or Service Bus) Energy or Commodity Trading domain experience (essential) Exposure to low-latency systems or real-time data processing is highly desirable If you’re interested in More ❯

.NET Core Proven experience building microservices-based architectures Strong knowledge of Azure Cloud Services (Functions, Service Bus, Event Hub, Kubernetes, etc.) Experience with event-driven/message-based systems (Kafka, RabbitMQ, or Service Bus) Energy or Commodity Trading domain experience (essential) Exposure to low-latency systems or real-time data processing is highly desirable If you’re interested in More ❯

and well-documented in a fast-moving fintech environment. Key Responsibilities Cloud Infrastructure & Platform Engineering · Design, build, and operate Azure environments including Container Apps, Kubernetes, Postgres, Redis, Event Hubs, Kafka, Storage, and Vercel , ensuring high performance, security, and cost efficiency. · Define and maintain governance planning and access control , including granular permission structures, RBAC, and least-privilege configurations across all More ❯

and well-documented in a fast-moving fintech environment. Key Responsibilities Cloud Infrastructure & Platform Engineering · Design, build, and operate Azure environments including Container Apps, Kubernetes, Postgres, Redis, Event Hubs, Kafka, Storage, and Vercel , ensuring high performance, security, and cost efficiency. · Define and maintain governance planning and access control , including granular permission structures, RBAC, and least-privilege configurations across all More ❯

orchestration tools. Implement redundancy, backups, and DB triggers to ensure reliability and data integrity. Work with Python to build scalable data solutions. Introduce and adopt new technologies such as Kafka, Docker, Airflow, and AWS . Define and enforce data hygiene practices (ontology, storage, artifacts, version control). Reduce engineering load per person through automation and efficient design. Collaborate closely More ❯

orchestration tools. Implement redundancy, backups, and DB triggers to ensure reliability and data integrity. Work with Python to build scalable data solutions. Introduce and adopt new technologies such as Kafka, Docker, Airflow, and AWS . Define and enforce data hygiene practices (ontology, storage, artifacts, version control). Reduce engineering load per person through automation and efficient design. Collaborate closely More ❯

A culture of engineering excellence driven by mentoring and high-quality practices. Preferred Experience Databricks in a SaaS environment, Spark, Python, and database technologies. Event-driven and distributed systems (Kafka, AWS SNS/SQS, Java, Python). Data Governance, Data Lakehouse/Data Intelligence platforms. AI software delivery and AI data preparation. More ❯

A culture of engineering excellence driven by mentoring and high-quality practices. Preferred Experience Databricks in a SaaS environment, Spark, Python, and database technologies. Event-driven and distributed systems (Kafka, AWS SNS/SQS, Java, Python). Data Governance, Data Lakehouse/Data Intelligence platforms. AI software delivery and AI data preparation. More ❯

years leading technical teams in data engineering or analytics Expertise in modern data platforms such as Databricks, Snowflake, GCP, AWS, or Azure Strong understanding of tools like Apache Spark, Kafka, and Kubernetes Deep knowledge of data governance, strategy, and privacy regulations (GDPR, etc.) Strategic mindset with the ability to balance technical depth and business insight Passion for developing people More ❯

years leading technical teams in data engineering or analytics Expertise in modern data platforms such as Databricks, Snowflake, GCP, AWS, or Azure Strong understanding of tools like Apache Spark, Kafka, and Kubernetes Deep knowledge of data governance, strategy, and privacy regulations (GDPR, etc.) Strategic mindset with the ability to balance technical depth and business insight Passion for developing people More ❯

work on a long term project. You will have minimum 3+ years serverside Kotlin experience 2 days a week in London, 3 days WFH Stack - Java/Kotlin, AWS, Kafka, React.js £95k - £125k More ❯

Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending December 2024 totaled $13.8 billion. Experience : Minimum 10+ Years Strong Knowledge in Hadoop, Kafka, SQL/NoSQL Specialization in designing and implementing large-scale data pipelines, ETL processes, and distributed systems Should be able to work independenty with minimal help/guidance Good More ❯

Solid understanding of data structures, algorithms, and object-oriented design Experience in low-latency or high-performance systems (finance or similar domains a plus) Familiarity with messaging frameworks (e.g. Kafka, JMS, ZeroMQ) desirable What’s on Offer: Salary £120k-£130k + bonus Hybrid working model (3 days onsite in London) If you’re a Java Engineer who loves building More ❯

a Financial Services Trading environment. Expertise in data engineering, data warehousing, ETL processes, and data architecture. Familiarity with Snowflake for cloud data warehousing. Familiarity with tools like Denodo, Dremio, Kafka, and MinIO. Strong proficiency in Python and/or Java for building scalable solutions. Rate: Up to £750/day Duration: 6 months + Location: London (3 days in More ❯

a Financial Services Trading environment. Expertise in data engineering, data warehousing, ETL processes, and data architecture. Familiarity with Snowflake for cloud data warehousing. Familiarity with tools like Denodo, Dremio, Kafka, and MinIO. Strong proficiency in Python and/or Java for building scalable solutions. Rate: Up to £750/day Duration: 6 months + Location: London (3 days in More ❯

at scale . Expertise in Python (plus C Java a bonus), and familiarity with ML frameworks like PyTorch, TensorFlow, Scikit-learn . Experience building production-grade pipelines (Spark, Ray, Kafka, Dask, Kubernetes, cloud). Ability to handle large, noisy datasets — financial or otherwise — and turn them into production-ready models. Curiosity, pragmatism, and the mindset to solve problems where More ❯

understand complex financial products and translate requirements into scalable systems. Technical Skills: • 7+ years of professional C# and .NET development experience • Deep expertise in distributed systems and messaging architectures (Kafka, RabbitMQ, TIBCO, or equivalent) • Solid understanding of architectural patterns: microservices, event sourcing, domain-driven design • Proficiency with SQL and NoSQL databases in high-volume environments • Strong async/await More ❯

at scale . Expertise in Python (plus C Java a bonus), and familiarity with ML frameworks like PyTorch, TensorFlow, Scikit-learn . Experience building production-grade pipelines (Spark, Ray, Kafka, Dask, Kubernetes, cloud). Ability to handle large, noisy datasets — financial or otherwise — and turn them into production-ready models. Curiosity, pragmatism, and the mindset to solve problems where More ❯

specialising in Go to contribute to v1 builds, define architecture, and ship mission-critical backend systems from scratch. What you’ll do: Design & scale a fault-tolerant ledger (Golang, Kafka, CockroachDB/YugabyteDB) Architect distributed, multi-region infra with five-nines reliability Contribute to backend, DevOps, and CI/CD decision-making Embed AI into engineering workflows & ops Self More ❯

specialising in Go to contribute to v1 builds, define architecture, and ship mission-critical backend systems from scratch. What you’ll do: Design & scale a fault-tolerant ledger (Golang, Kafka, CockroachDB/YugabyteDB) Architect distributed, multi-region infra with five-nines reliability Contribute to backend, DevOps, and CI/CD decision-making Embed AI into engineering workflows & ops Self More ❯