151 to 162 of 162 Kafka Jobs in Central London

platform. Proven experience in architecting and leading at least two full-cycle Braze implementations. Proven experience with Docker, Kubernetes, Terraform, or similar IaC technologies Have experience with MongoDB, Redis, Kafka, Postgres, or similar data technologies Experience with data integration, including ETL processes and customer data platforms (CDPs). Comprehensive awareness of various marketing technology platforms like CRM, DAM, dynamic More ❯

architecture (SOA). Excellent stakeholder management and communication skills. Ability to manage multiple priorities in a fast-paced, evolving landscape. Experience with relevant technologies (e.g., Azure Integration Services, MuleSoft, Kafka, etc.) is advantageous. A proactive mindset with a focus on continuous improvement and innovation. Benefits Competitive benefits package designed to support your wellbeing and lifestyle. This includes generous holiday More ❯

with middleware solutions and SOA. Excellent stakeholder management and communication skills. Ability to manage multiple priorities in a fast-paced environment. Experience with technologies like Azure Integration Services, MuleSoft, Kafka, etc., is advantageous. A proactive mindset focused on continuous improvement and innovation. Competitive benefits include generous holiday allowance, market-leading pension, private medical insurance, and protection through life, income More ❯

the front, we’ll teach you Go) Comfortable working in teams that own everything from design to deployment Lead Experience Our Stack: Go, TypeScript, React, Next.js, Node.js, AWS, Vercel, Kafka, Redis, Postgres A Bit About Us We’re a 25-person team (11 engineers), growing steadily throughout 2025. Backed by top investors, we’re fast becoming one of Europe More ❯

least three of the below areas: Infrastructure as Code – (Ansible or similar) LDAP integration Kerberos integration Experience of/understanding of Red Hat Openshift Experience of/understanding of Kafka Network and infrastructure security concepts Agile project management methodologies and scrum agile framework Regulatory environments such as PCI and GDPR Network and infrastructure security concepts Working with 3rd parties More ❯

Social network you want to login/join with: Data Engineer - AWS Redshift + Kafka - to £100k ID37553, London (City of London) Client: Humand Talent Location: London (City of London), United Kingdom Job Category: Other EU work permit required: Yes Job Views: 3 Posted: 16.06.2025 Expiry Date: 31.07.2025 Job Description: Are you ready to level up your career and More ❯

Skills (Bonus Points): Proven experience in recommender systems, behavioural AI, and/or reinforcement learning. Building data pipelines (realtime or batch) & data quality using modern toolchain (e.g., Apache Spark, Kafka, Airflow, dbt). PhD in Computer Science, Machine Learning, or a closely related field What We Offer: Opportunity to build technology that will transform millions of shopping experiences Real More ❯

in a commercial setting. MSc in Computer Science, Machine Learning, or a related field. Experience building data pipelines (realtime or batch) & data quality using modern toolchain (e.g., Apache Spark, Kafka, Airflow, dbt). Strong foundational knowledge of machine learning and deep learning algorithms, including deep neural networks, supervised/unsupervised learning, predictive analysis, and forecasting. Expert-level proficiency in More ❯

Strong Python development skills, especially in a data engineering or quant dev context Experience with workflow orchestrators like Dagster (big plus), Airflow, or Prefect Familiarity with tools like Postgres, Kafka, Snowflake, and cloud-based storage Ability to thrive in a high-performance, collaborative trading environment If you're passionate about credit markets and want to work on impactful systems More ❯

and monitor key metrics to ensure platform performance, user engagement, and operational efficiency. What We're Looking For: Deep expertise in real-time data processing and streaming technologies (e.g. Kafka, Flink, Confluent, Redis). Experience with data platforms and pipelines in cloud environments (Databricks on AWS, Glue, Azure Data Factory). A track record of hands-on data architecture More ❯

diagnosis Hands-on experience with ISV software installations Skilled in test design for software validation Experience in REXX Scripting Nice to Have Experience with z/OSMF, REST APIs, Kafka, LinuxOne, Ansible, Python Knowledge of Assembler for usermod maintenance and dump analysis Key Attributes Self-driven and team-oriented Exceptional analytical and investigative abilities Resilient under pressure, especially during More ❯

He should have implantation experience in ELK • If candidate has just done monitoring of existing ELK setup , that will not be useful. • Candidate should have exposure to cloud and Kafka • Also should have exposure to security domain • Strong understanding of elastic - elastic search , Kibana , logstash , Fleet and other integrations • Data Engineering skill set to design and develop pipelines to More ❯