451 to 475 of 738 Kafka Jobs in London

Python/C++/Java/Kotlin languages In-depth knowledge of common databases and messaging systems like PostgreSQL/MongoDB/Redis/Kafka/RabbitMQ, etc. Upper-Intermediate or higher English proficiency Our current stack: Go microservices, shrinking Ruby monolith, Node.js, MongoDB, PostgreSQL, RabbitMQ, Thrift, Redis ...

platform is powered by a modern, high-performance engineering stack designed for scale and reliability: Java 21 (Spring), Go, Node.js (TypeScript), PostgreSQL, MariaDB, Redis, Kafka, ClickHouse, Elasticsearch, Docker, Grafana, AWS, Kubernetes and Kibana. About the role Staff Backend Engineers shape technical direction across teams while remaining close ...

resource allocation Exposure to solver technologies such as Google OR-Tools, Gurobi or similar Strong event-driven architecture experience using technologies such as Kafka, NATS JetStream or equivalent Comfort working with graph-based problems, algorithms and complex system modelling Experience with Kubernetes and distributed production environments A track record ...

5+ years of experience in Java or Kotlin (or other JVM based language)Strong experience with Spring framework, relational databases, distributed and concurrent systems (Kafka)Close collaboration with product managers, data scientists, data analysts, engineers and other product teams is a must have and is something to expect ...

access control, and change management. Nice to have Experience with a cloud data warehouse (Databricks, BigQuery, or Redshift) at scale. Experience operating streaming systems (Kafka, Azure Event Hubs, or similar) in production. Good understanding of Python with the ability to read/debug Pyspark jobs and configure tooling. Prior ...

enjoy writing testable code and believe in Test Driven Development Nice to have: You have experience with Spring boot You have experience with Kafka You have worked with BFFs (Backend-for-Frontends) For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe ...

technical audiences. Nice to Have: Experience working in fintech or high-trust domains like risk, identity, or complianceExperience in messaging systems such as Kafka is a plus. Additional InformationInterested? Find out more: How we work – a practical guideDEI @ WiseWise Tech Stack (2025 update)See what it's like ...

deep technical execution alongside strategic leadership. The ideal candidate brings proven expertise across the following areas: Data Engineering: Proven experience with streaming platforms (e.g. Kafka), real‐time processing frameworks and modern data stack tools Architecture: Demonstrated ability to design low‐latency, high‐throughput data systems with microsecond‐level performance ...

coached other engineers, given and received feedback openly, and help build a collaborative, inclusive team. Hands-on experience with at least one of Kafka, stream processing, or high-throughput low-latency services. Interested? Find out more: How we work – a practical guideDEI @ WiseWise Tech Stack (2025 update)See what ...

coached other engineers, given and received feedback openly, and help build a collaborative, inclusive team. Hands-on experience with at least one of Kafka, stream processing, or high-throughput low-latency services. Interested? Find out more: How we work – a practical guide DEI @ Wise Wise Tech Stack (2025 update ...

engage effectively across business, operations, and engineering teams. Hands-on experience with Windows and Linux, CI/CD pipelines, and messaging platforms such as Kafka and MQ, along with programming/scripting languages including Java and Python. At BNY, our culture allows us to run our company better ...

partnering with data science/analytics teams. Relevant certifications (PMP, SAFe, Scrum, AWS/Azure) or experience with core stack (Databricks/Snowflake, Kafka, Airflow, AWS/Azure) are a plus. #J-18808-Ljbffr ...

experience in software engineering, MLOps, and deploying machine learning models at scale. Proficiency in SQL, Python, and familiarity with big data technologies (e.g., Kafka, Spark) and/or cloud platforms (e.g., GCP, AWS, or Azure).Industry knowledge: Experience in gaming or digital entertainment is a strong plus. This ...

data contracts. Qualifications What do you need? Strong Backend Engineering: Proven experience building high-throughput, data-intensive systems in Java. Hands-on expertise with Kafka, SQL and NoSQL databases, and designing for scale and reliability. Data Engineering Aptitude: Experience with data quality frameworks, pipeline orchestration, or lineage tracking. ...

experience in software engineering, MLOps, and deploying machine learning models at scale.* Proficiency in SQL, Python, and familiarity with big data technologies (e.g., Kafka, Spark) and/or cloud platforms (e.g., GCP, AWS, or Azure).* Industry knowledge: Experience in gaming or digital entertainment is a strong plus. ...

ability to architect and demo enterprise-grade solutions liveProficiency in SQL, Python, and data engineering tools commonly used in FSI environments (dbt, Spark, Kafka, or equivalent)Excellent executive communication skills with the ability to engage credibly with CDOs, CTOs, and CIOs at global financial institutionsTrack record of leading complex ...

bordereaux standards.* Experience with delegated authority or Lloyd’s ecosystem platforms.* Experience with tools such as Azure Integration Services, MuleSoft, Boomi, IBM MQ, Kafka, REST/SOAP, XML, JSON, and managed file transfer solutions.* Knowledge of cloud and hybrid integration architecture.* TOGAF or similar architecture framework knowledge.* Degree ...

relational databases, query optimisation and designing schemas is a plusKnowledge of Java and Spring boot and experience with a messaging system, like Kafka, is a plusBeing part of the on-call rotation for our critical services and helping the team improve it, normally being on-call every ...

influence across business, operations, engineering, and support organizations. Hands-on experience with Windows and Linux, CI/CD pipelines, and messaging platforms such as Kafka and MQ, along with programming and scripting languages including Java and Python. At BNY, our culture allows us to run our company better ...

scalability, fault tolerance, and resource management Strong candidates may also have experience with: Web crawling Building streaming data pipelines and event-driven systems Kafka, Pulsar, NATS, RabbitMQ, or similar messaging platforms Designing distributed schedulers, queues, and asynchronous processing systems Spark, Flink, Beam, or MapReduce Ad tech, social networks, search ...

skills (e.g. sampling methods), attention to detail, and a proactive empirical mindsetFamiliarity with data modelling & modern data tech stack tools such as Airflow, dbt, Kafka, Iceberg, Trino, Superset etc.Familiarity with some data visualization tools (Tableau, QlikSense, Power BI, or similar) to communicate quality insightsFamiliarity with at least one version ...

passion for writing clean code that is performant and well tested Knowledge of Java and Spring boot and experience with a messaging system, like Kafka, is a plus... but don’t worry we don’t expect you to know everything! Additional Information We are currently only considering local candidates ...

processing systems handling large-scale (big data) volumes in near real time. Hands-on exposure to technologies such as HDFS/S3, Snowflake, SingleStore, Kafka (or similar streaming systems), Flink (or similar distributed processing frameworks), and Java/Scala (Python optional). Excellent communication skills, with the ability ...

understanding of software development fundamentals, data structures, design patterns, object-oriented programming, and algorithms complexity analysis. Demonstrated experience with messaging technologies such as Solace, Kafka, etc. Practical experience with Chronicle and/or Aeron. Experience with distributed caching techniques. Proven track record in implementing and supporting market data processing ...

sets you up for success! What we expect from you: You have 4+ years of experience working with any language,asynchronous message queues (e.g., Kafka, RabbitMQ), and have architected and built highly scalable microservices. A strong product mindset and a deep passion for both customer experience and regulatory compliance. ...