651 to 675 of 903 Kafka Jobs in the UK

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

microservices, integration, and future-proofing systems. Tech environment (not all essential!): C#/.NET- essential SQL Server- essential Desktop experience (huge plus, particularly with WPF) Exposure/interest in Kafka, event-driven development, and microservices Desire to learn new programming languages and frameworks Why join? Hybrid working model, balance between office presence and remote flexibility. Guaranteed training & certifications, the More ❯

microservices, integration, and future-proofing systems. Tech environment (not all essential!): C#/.NET- essential SQL Server- essential Desktop experience (huge plus, particularly with WPF) Exposure/interest in Kafka, event-driven development, and microservices Desire to learn new programming languages and frameworks Why join? Hybrid working model, balance between office presence and remote flexibility. Guaranteed training & certifications, the 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

building and managing data pipelines. In-depth experience with Google Cloud Platform (GCP) and its associated tools for data ingestion and processing. Familiarity with distributed streaming platforms such as Kafka or similar technologies. Advanced knowledge of SQL. Experience with data orchestration tools. Ability to optimize and refactor data pipelines for improved performance and scalability. Strong problem-solving skills and 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 ❯

and maintaining ML systems on Azure, including Azure Machine Learning, Azure Functions, Databricks, Docker, and Kubernetes. Experience with real-time data pipelines and streaming data using tools such as Kafka or Azure Event Hubs is a plus. Advanced degree (Master’s or PhD) in Computer Science, Machine Learning, or a related technical field. Strategic and hands-on, equally comfortable More ❯

and maintaining ML systems on Azure, including Azure Machine Learning, Azure Functions, Databricks, Docker, and Kubernetes. Experience with real-time data pipelines and streaming data using tools such as Kafka or Azure Event Hubs is a plus. Advanced degree (Master’s or PhD) in Computer Science, Machine Learning, or a related technical field. Strategic and hands-on, equally comfortable More ❯

and maintaining ML systems on Azure, including Azure Machine Learning, Azure Functions, Databricks, Docker, and Kubernetes. Experience with real-time data pipelines and streaming data using tools such as Kafka or Azure Event Hubs is a plus. Advanced degree (Master’s or PhD) in Computer Science, Machine Learning, or a related technical field. Strategic and hands-on, equally comfortable More ❯