76 to 81 of 81 Flink Jobs in the UK

Observability portfolios. Your Impact As a Senior Software Engineer you will: Design, build, test, and operate near real time data streaming-based (Spark/Flink) solutions for some of the largest Networking customers in the world. Develop agentic workflows, reusable skills, tool integrations, and orchestration capabilities. Integrate AI tools … real-time data processing pipelines, utilizing at least one core streaming or real-time analytics technology such as Apache Kafka (including Kafka Streams), Apache Flink, or ClickHouse. Experience designing and implementing APIs within distributed software architectures. Experience with Git, automated testing, Kubernetes, and continuous integration and delivery workflow. Preferred ...

will transform the financial engineering impact by pioneering our real-time Liquidity Attribution Model (LAM)! You will architect high-throughput Kafka and Flink streaming pipelines that continuously process global bank transactions, dynamically balancing demand against supply intraday. This is an opportunity to architect low-latency streaming pipelines that deliver … Processing & Event-Driven Architecture: Proven track record building, deploying, and operating production‐grade, low-latency stream processing pipelines using Apache Kafka (or Kafka Streams, Flink, Spark Streaming). Idempotency & Event Reliability: Deep hands‐on experience handling duplicate events, out‐of‐order log processing, late‐arriving data, and exactly‐once ...

Observability portfolios. Your Impact As a Software Engineer you will: Design, build, test, and operate near real time data streaming-based (Spark/Flink) solutions for some of the largest Networking customers in the world. Develop agentic workflows, reusable skills, tool integrations, and orchestration capabilities. Integrate AI tools with … continuous integration and delivery workflow. Preferred Qualifications Deep knowledge and interest in real-time data processing with technologies such as Kafka Streams, ClickHouse, Flink, and similar. Familiarity with relational, document-based, or vector datastores. Familiarity with AI-assisted development tools such as Kosmos, Codex, or Claude. Understanding of containers ...

reliability, and performance of data pipelines and integrations across our data platform. The role will focus on testing Snowflake, SQL-based data transformations, Apache Flink pipelines, and end-to-end data integrations. The successful candidate will work closely with Data Engineers, Software Engineers, and other stakeholders to design … data accuracy, completeness, and reliability. SQL & Snowflake Testing: Validate data transformations, business rules, data models, and source-to-target reconciliation using SQL and Snowflake. Flink Pipeline Testing: Test streaming data processing, event handling, data consistency, and fault tolerance. Data Integration Testing: Verify end-to-end data flows between source ...

major step forward in scalability, resilience, and streaming architecture across our technology estate. Responsibilities Design and build distributed, real‐time streaming components within a Flink‐based architecture. Develop and maintain services that process the full bet lifecycle, from acceptance through settlement, cancellation, and cashout. Implement complex financial calculations, including … downstream systems, including trader‐facing tools. Experience 5+ years software engineering experience in building distributed systems. Excellent Java skills. Experience with streaming technologies (Apache Flink preferred; Kafka Streams, Spark Streaming, etc.). Solid understanding of event‐driven architecture and asynchronous processing patterns. Experience handling data consistency challenges such ...

contributing to architecture while remaining close to the codebase. You will contribute to the development of streaming solutions using technologies such as Kafka and Flink, supporting innovation and data-informed outcomes across Barclays. You will also help us shape engineering standards and ways of working, contributing … scalable systems together. Key Experience Experience working with real-time streaming applications using Kafka Streams, including KStream and KTable concepts. Experience working with Apache Flink solutions, including stateful processing, checkpointing, and fault-tolerant approaches. Experience working with high-throughput, low-latency data pipelines that process and transform large volumes ...