251 to 254 of 254 Apache Spark Jobs in London

Software Engineering Manager

Location
Greater London, England, United Kingdom
matter – packed with personal touches and delivered with care. We’re not just about selling cards or gifts – we’re here to spread joy, spark smiles and make every celebration feel extra special. And with values that guide how we work and support one another, we’ve built … place where people (and ideas) can truly thrive. If you’re looking to make an impact, bring your spark and be part of something meaningful – we’d love to have you on the team. Software Engineering Manager – Reminders | London or Manchester – Hybrid (1–2 days per week ...

Senior Java Technical Lead - RESTful API, Spring Boot

Location
Greater London, England, United Kingdom
handle high-concurrency workloads efficientlyDeveloping and consuming RESTful APIs following industry best practices and ensuring proper documentationImplementing event-driven architecture using IBM MQ and Apache Kafka for seamless asynchronous communication between servicesCollaborating with cross-functional teams including frontend developers, architects, and product owners to deliver end-to-end solutionsWriting … microservices architecture including service discovery, API gateway, circuit breakers, and distributed tracing IBM MQHands-on experience with IBM MQ for enterprise messaging and integration Apache KafkaStrong knowledge of Kafka for building event-driven systems, including producers, consumers, and stream processing Skill Requirements MongoDBExperience with MongoDB for NoSQL database design ...

Senior Software Engineer, Java

Location
Greater London, England, United Kingdom
with 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 ...