376 to 400 of 713 Kafka Jobs in London

Familiarity with AI/ML workflows and their data requirements. Experience with API specifications and data integrations acrossETL and streaming services ( Glue, MSK, Kinesis, Kafka ) Familiarity with AI developer tools like Cursor and GitHub Copilot and desire to use them to 10x your throughput. Collaborative approach and excellent communication ...

from conception to production monitoringCollaborate directly with product, design and data experts to shape solutionsYour toolkit: You'll work with Kotlin, Kafka, Kubernetes, Docker, AWS Aurora Postgres, and other modern technologies. If you haven't worked with all of these, we value skilled engineers with a willingness to learn. ...

have Databricks certifications. Experience with Unity Catalog, MLflow or Databricks Asset Bundles. Familiarity with dbt or similar data transformation frameworks. Exposure to Kafka, Event Hubs or other streaming technologies. Experience working with retail or consumer packaged goods data, including point-of-sale, inventory or supply-chain datasets. A degree ...

lock-free programming, hardware-aware optimization, or FPGA-adjacent systems. Experience with ML/data tooling such as PyTorch, JAX, CUDA, GPU clusters, Ray, Kafka, Kubernetes, Spark, or comparable technologies. Understanding of market microstructure, backtesting pitfalls, transaction costs, and the operational needs of live quantitative strategies. Experience in environments ...

experience with managing AWS cloud environments Demonstrated ability to contribute to the direction of a technical domain in the platform space (eg. Container Orchestration, Kafka, Build Systems, Observability) Background in building AI-assisted developer tools or integrating LLM-backed Why Join Us? At Deliveroo, you’ll do work that ...

contribute to technical reviews, maintain high coding standards, and thrive in Agile, collaborative team environments. Experience designing and operating distributed, event-driven systems using Kafka Streams, AWS Kinesis, or similar frameworks. Proven ability to optimize microservices for low-latency, high-throughput processing at significant scale. Preferred Qualifications: Familiarity with ...

technical details around implementation, deployment, and monitoring of their solutions. The core tech stack we use is based on AWS and GCP, using: Kafka as our message transport Flink for (near) real time processing Datahub as our catalog BigQuery as our warehouse Airflow (GCP Composer) for scheduling ...

technical details around implementation, deployment, and monitoring of their solutions. The core tech stack we use is based on AWS and GCP, using: Kafka as our message transportFlink for (near) real time processingDatahub as our catalogBigQuery as our warehouseAirflow (GCP Composer) for schedulingDBT for data transformationMontecarlo for monitoringThe platform ...

experience in a professional field or military- Experience as technical specialist in design and architecture- Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis)- Experience in consulting, design and implementation of serverless distributed solutions- Experience in cloud based solution (AWS or equivalent), system, network and operating system- Experience ...

RBAC. Advanced SQL, Python, and enterprise-grade dbt model development. Experience designing end-to-end data pipelines. Combining batch, file-based, and streaming ingestion (Kafka/CDC) managed with Airflow orchestration. A good understanding of data security and governance, including PII handling and access control. Strong infrastructure-as-code ...

people, head to our tech blog. What you'll be doing Designing and building new features and enhancements using Java 17+, Spring Boot, Elasticsearch, Kafka, Gradle, Hibernate, Couchbase, SQL, and Docker. Collaborating with cross-functional teams and stakeholders to shape solutions and align on priorities. Taking ownership ...

contribute to technical reviews, maintain high coding standards, and thrive in Agile, collaborative team environments. Experience designing and operating distributed, event-driven systems using Kafka Streams, AWS Kinesis, or similar frameworks. Proven ability to optimize microservices for low-latency, high-throughput processing at significant scale. Preferred Qualifications: Familiarity with ...

people, head to our tech blog. What you'll be doing Designing and building new features and enhancements using Java 17+, Spring Boot, Elasticsearch, Kafka, Gradle, Hibernate, Couchbase, SQL, and Docker. Collaborating with cross‐functional teams and stakeholders to shape solutions and align on priorities. Taking ownership ...

microservices systems and container/cloud deployment and hosting designs. Experience leveraging AI agents assistant tools rationally and safely for coding. Additional technology experience: Kafka, ELK, Splunk, DBaaS... This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned ...

microservices systems and container/cloud deployment and hosting designs. Experience leveraging AI agents assistant tools rationally and safely for coding. Additional technology experience: Kafka, ELK, Splunk, DBaaS...This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned ...

drive business outcomes. Bonus Points: Contributions to the open-source community (GitHub, Stack Overflow, blogging)Existing exposure to Go or C++, Scala, AWS, Cassandra, Kafka, Elasticsearch...Prior experience in the cybersecurity or intelligence fieldExperience in thinking about, designing, or implementing programming languages and/or compilersInteresting hobbies#LI-YA1#LI-SN2Benefits ...

modern data tooling - ideally Snowflake and dbt - used to build analytical or reporting pipelines. Knowledge of messaging frameworks and event-driven patterns (e.g. Kafka).The salaryWe expect to pay from 80,000 to 110,000 for this role. But, we're open-minded, so definitely include your salary goals ...

/ELT pipeline design, including incremental loads, idempotency, error handling, and pipeline monitoring Working with event‐driven or streaming data pipelines (Pub/Sub, Kafka, or equivalent) Python or JS for data pipeline scripting, transformation logic, or tooling Version control (Git) and collaborative engineering workflows Strong attention to data ...

experience in data engineering, distributed systems, MLOps, or infrastructure ML roles in production environments. Proven experience building high-throughput streaming or telemetry pipelines (e.g., Kafka, Pulsar, Kinesis, or equivalent). Strong experience designing time-series feature pipelines and operating large-scale observability systems. Experience building and maintaining feature stores ...

save with Tesco. Building low-latency, high-throughput services for personalisation Developing Java/Spring Boot microservices with REST/gRPC APIs Working with Kafka and event-driven architectures Building pipelines using Apache Flink and Apache Beam Integrating ML models and feature stores Working with NoSQL databases and Redis … systems Strong communication and teamwork skills Interest in data-driven personalisation systems Nice to have Experience with Apache Flink and Apache Beam Experience with Kafka Familiarity with Apache Camel Experience with NoSQL databases (Cassandra, DynamoDB) and Redis Cloud experience (GCP or AWS) Docker and Kubernetes ML model serving ...

responsible for · Building low-latency, high-throughput services for personalisation · Developing Java/Spring Boot microservices with REST/gRPC APIs · Working with Kafka and event-driven architectures · Building pipelines using Apache Flink and Apache Beam · Integrating ML models and feature stores · Working with NoSQL databases and Redis caching … systems · Strong communication and teamwork skills · Interest in data-driven personalisation systems Nice to have · Experience with Apache Flink and Apache Beam · Experience with Kafka · Familiarity with Apache Camel · Experience with NoSQL databases (Cassandra, DynamoDB) and Redis · Cloud experience (GCP or AWS) · Docker and Kubernetes · ML model serving ...

based data processing (PostgreSQL, SQL Server), including complex queries, performance tuning, and large-scale ETL workflows. Implement and support distributed, event-driven architectures (e.g., Kafka, asynchronous workflows) for scalable platform execution. Develop and maintain cloud-native applications on AWS (e.g., Lambda, S3, ECS/EKS, Step Functions, Aurora).Design … maintainability. Understanding of data engineering principles (data modeling, pipelines, validation, lineage, error handling). Familiarity with distributed systems and event-driven architecture (e.g., Kafka, asynchronous processing). Bachelor's in Statistics, Computer Science or other similar advanced degrees from a top tier educational institution preferredCFA, CPA, CIPM, CAIA ...

Job Type: Permanent (Hybrid – 2 Days Office and 3 Days work from Home) Location: London, United Kingdom Number of hours: 40 hours per week – full time Ready to utilize your experience and expertise in Java ...

InfoSum is WPP's privacy-first data collaboration technology, trusted by global businesses to unlock the full potential of their first-party data without risk. Its patented, cross-cloud, decentralized collaboration technology leverages advanced Privacy ...

collaborate effectively with technical and non-technical stakeholders Experience with Unity Catalog, MLflow or Databricks Asset Bundles would be advantageous Knowledge of dbt, Kafka, Event Hubs or other data transformation and streaming technologies would be beneficial Desirable Experience: Databricks certifications Experience working with retail or consumer packaged goods data ...