20 of 20 Part-Time Kafka Jobs in London

Experience with NLP, computer vision, or recommendation systems \n Familiarity with MLOps practices and model lifecycle management \n Knowledge of event-driven architectures (Kafka or similar) \n Experience with DevOps tooling and infrastructure as code \n Exposure to Generative AI and large language models \n\n Benefits \n What ...

transformation tooling (e.g., dbt) \n Experience designing and operating orchestration pipelines using Airflow or similar tools \n Experience designing and building streaming pipelines using Kafka, Pub/Sub, or similar messaging systems \n\n Preferred qualifications, capabilities, and skills \n \n Data modeling experience for analytics and reporting ...

management tools such as dbt \n Experience with orchestration tools such as Airflow (or similar) \n Understanding of messaging/streaming systems such as Kafka or Pub/Sub (or similar) \n Familiarity with infrastructure-as-code (e.g., Terraform) for cloud-based data infrastructure \n\n Preferred qualifications, capabilities ...

nExperience with TypeScript.\n \n \nFamiliarity with GraphQL or other modern data-fetching technologies.\n \n \nExperience in integrating message brokers (e.g., RabbitMQ, Kafka).\n \n \nFamiliarity with cloud platforms like AWS, Azure, or Google Cloud.\n \n \nKnowledge of microservices architecture and related tools.\n \n \nExperience ...

Server-side: Java 21, Maven, Spring Boot, JUnit. ● Client-Side: Typescript, Next.js, React and various React ecosystem tools and libraries ● Infrastructure: AWS, Kubernetes, Terraform, Kafka, DynamoDB, PostgreSQL, Redis, ElasticSearch, Kibana, Grafana, and Prometheus. However, you should be comfortable using a variety of frameworks, languages, and tools and be happy ...

Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo \n Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. \n Data acquisition and development of data sets and improving data quality \n Preparing data for predictive and prescriptive modelling \n Hands on coding ...

performance tuning \n • Experience of data visualisation and complex data transformations \n • Experience with steaming and event-processing architectures including technologies such as Kafka and change-data-capture (CDC) products \n • Expertise in continuous improvement and sharing input on data best practice. \n Embracing our differences \n At Kainos ...

have a global reach, impacting millions of customers. \n \n Some of the tech we are using at scale: Javascript, Typescript, Node.JS, GraphQL, REST, Kafka, Azure Cloud, Redis, Varnish Cache, Apollo Federation, Docker, Kubernetes etc. \n \n About the team \n Tesco’s xAPI (Experience API) powers Tesco ...

Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo \n Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. \n Data acquisition and development of data sets and improving data quality \n Preparing data for predictive and prescriptive modelling \n Reporting tools (e.g. ...

across teams.\n \n \nProficiency in Java (preferred) or solid experience with similar backend programming languages.\n \n \nFamiliarity with messaging systems such as Kafka or RabbitMQ, and strong knowledge of relational databases (SQL).\n \n \nExcellent communication and collaboration skills, combined with a growth mindset and focus ...

stakeholder needs with technical feasibility. \n\n Nice to Have: \n \n Solid understanding of database fundamentals. \n Experience in messaging systems such as Kafka is a plus. \n\n Additional Information \n Interested? Find out more: \n \n \nHow we work – a practical guide\n \n \nDEI @ Wise ...

stakeholder needs with technical feasibility. \n\n Nice to Have: \n \n Solid understanding of database fundamentals. \n Experience in messaging systems such as Kafka is a plus. \n Good understanding of payment systems and financial transactions. \n \n\n Additional Information \n Interested? Find out more ...

strong plus. \n Prior experience with SecDB/Athena/Quartz platforms is advantageous but not required. \n Data streaming knowledge on frameworks like Kafka, AMPS will be beneficial. \n\n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products ...

Have: \n \n Experience working in fintech or high-trust domains like risk, identity, or compliance \n Experience in messaging systems such as Kafka is a plus. \n\n Additional Information \n Interested? Find out more: \n \n \nHow we work – a practical guide\n \n \nDEI @ Wise ...

Bonus points: Previous experience working in an international company or dealing with high-volume transactional systems (like POS or e-commerce). Experience with Kafka is also a strong plus. \n\n At JET, this is on the menu: \n Our teams forge connections internally and work with some ...

Experience and participation in Disaster Recovery exercises. \n Experience in providing support for different technologies and platforms (Windows, Linux, Cloud, Rest Service, Webservice, MQs, Kafka etc ). \n Experience in Automation improvements (Scripting, DevOps). \n Good technical knowledge in supporting Java, .Net, Unix Shell script, Datawarehouse based applications. ...

undergone a technology transformation to migrate from our legacy data warehouse to a brand-new data platform (Snowflake + dbt + Argo Workflows + Kafka) to better enable the exciting needs of our data stakeholders (Data Science, Machine Learning and Business Intelligence, etc.). Having built a strong technology … roles with focus on product analytics and data modelling is highly desirable. ● Experience working with distributed event stores and stream-processing platforms such as Kafka of Kinesis. ● Experience working with batch processing frameworks, such as DBT, Argo Workflows, Apache Airflow, etc. ● Familiarity with Docker, Kubernetes, Amazon EKS ● Familiarity with ...

Job Description hackajob is collaborating with Tesco to connect them with exceptional professionals for this role. \n \n Senior Software Engineer - Payments \n About the role \n The payment services team is at the heart ...

systems understanding to ensure customer data is reliable, activation-ready, and easy to work with across our ecosystem. \n You’ll work across Kafka event streams, Snowflake, Braze, internal tools, and supporting integrations to transform raw product and customer data into trusted CRM-ready datasets, scalable activation systems … platform engineering roles \n You have strong SQL, data engineering, and data modelling experience (Snowflake or similar preferred) \n You have experience working with Kafka or similar event-streaming systems, or strong transferable experience working with event-driven customer data within Snowflake or similar data environments \n You have ...

Job Description hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n The Chief Data and Analytics Office (CDAO) builds enterprise-scale platforms for Data Management ...