401 to 425 of 1,047 Kafka Jobs

a big firm then don’t worry. Additional exposure to the following is desired : - Tech Stack you will learn Hadoop and Flink RUST, Javascript, React, Redux, Flow Linux, Jenkins Kafka, Avro, Kubernetes, Puppet Involvement in the Java community My client is based London. Home work is encouraged but you will need to be able to come to the City More ❯

a big firm then don’t worry. Additional exposure to the following is desired : - Tech Stack you will learn Hadoop and Flink RUST, Javascript, React, Redux, Flow Linux, Jenkins Kafka, Avro, Kubernetes, Puppet Involvement in the Java community My client is based London. Home work is encouraged but you will need to be able to come to the City More ❯

a big firm then don’t worry. Additional exposure to the following is desired : - Tech Stack you will learn Hadoop and Flink RUST, Javascript, React, Redux, Flow Linux, Jenkins Kafka, Avro, Kubernetes, Puppet Involvement in the Java community My client is based London. Home work is encouraged but you will need to be able to come to the City More ❯

of working with complex, large-scale data applications Product-driven mindset and experience working in fast-moving, tech-focused organisations (e.g. start-ups or scale-ups) Additional skills with Kafka, Cassandra, gRPC, and microservices design are highly advantageous Open-source contributions are a plus This is an excellent opportunity for a Senior Backend Engineer who thrives on tackling technical More ❯

work from home on Fridays. About you: You have strong full stack web development experience using TypeScript and Node.js You understand AWS, microservices, APIs, Event Driven systems, Data Streaming (Kafka), DevOps environments, CI/CD pipelines and how to deploy to the cloud, they use CloudFlare You're happy to do some front end work with React You have More ❯

across research and technology teams. Exposure to low-latency or real-time systems. Experience with cloud infrastructure (AWS, GCP, or Azure). Familiarity with data engineering tools such as Kafka, Airflow, Spark, or Dask. Knowledge of equities, futures, or FX markets. Company Rapidly growing hedge fund offices globally including London Salary & Benefits The salary range/rates of pay More ❯

of working with complex, large-scale data applications Product-driven mindset and experience working in fast-moving, tech-focused organisations (e.g. start-ups or scale-ups) Additional skills with Kafka, Cassandra, gRPC, and microservices design are highly advantageous Open-source contributions are a plus This is an excellent opportunity for a Senior Backend Engineer who thrives on tackling technical More ❯

and Microservices Architecture AWS services (EC2, RDS, S3, EKS, CloudFront, etc.) Works well independently and as part of a close team Nice to have: Experience with CI/CD, Kafka, ELK stack, NoSQL, Spring Security, OAuth2, or front-end tech (React, React Native). About You You’re the kind of developer who: • Loves solving complex problems and takes More ❯

and Microservices Architecture AWS services (EC2, RDS, S3, EKS, CloudFront, etc.) Works well independently and as part of a close team Nice to have: Experience with CI/CD, Kafka, ELK stack, NoSQL, Spring Security, OAuth2, or front-end tech (React, React Native). About You You're the kind of developer who: • Loves solving complex problems and takes More ❯

and Microservices Architecture AWS services (EC2, RDS, S3, EKS, CloudFront, etc.) Works well independently and as part of a close team Nice to have: Experience with CI/CD, Kafka, ELK stack, NoSQL, Spring Security, OAuth2, or front-end tech (React, React Native). About You You’re the kind of developer who: • Loves solving complex problems and takes More ❯

data engineering, including: Python application development CI/CD pipelines and web-based platforms (GitHub, GitLab) Cloud platforms like GCP (BigQuery, Kubernetes, Firestore) Infrastructure configuration (e.g., Terraform) Messaging services (Kafka, Pub/Sub) NoSQL databases (MongoDB, Firestore) Advanced SQL querying (BigQuery, Snowflake) Orchestration tools (Airflow, Luigi, Cloud Compose) A proactive, independent mindset with strong attention to detail. A passion More ❯

enhancements to complex Payments and client systems within a microservices environment (300 services). You'll be working with a modern tech stack using C# .Net Core, AWS, Kubernetes, Kafka, Redis and TypeScript/Angular; using the right tool for the job, you'll be able to pick up new technologies and make recommendations for improvements. WFH Policy: You More ❯

code quality, reliability, performance optimization, and observability. Preferred Qualifications Exposure to machine learning workflows, model lifecycle management, or data engineering platforms. Experience with distributed systems, event-driven architectures (e.g., Kafka), and big data platforms (e.g., Spark, Databricks). Familiarity with banking or financial domain use cases, including data governance and compliance-focused development. Knowledge of platform security, monitoring, and More ❯

to engage users, challenge requirements, and design smarter solutions. A pragmatic, delivery-focused mindset with an interest in clean architecture and software craftsmanship. (Bonus if you’ve worked with Kafka, Azure, or Docker/Kubernetes, or if you’ve built systems in R&D, motorsport, or real-time data environments). Click the ‘Apply’ button to find out more. More ❯

Candidate Profile: Proven experience as a Data Engineer, with strong expertise in designing and managing large-scale data systems. Hands-on proficiency with modern data technologies such as Spark, Kafka, Airflow, or dbt. Strong SQL skills and experience with cloud platforms (Azure preferred). Solid programming background in Python, Scala, or Java. Knowledge of data warehousing solutions (e.g. Snowflake More ❯

Candidate Profile: Proven experience as a Data Engineer, with strong expertise in designing and managing large-scale data systems. Hands-on proficiency with modern data technologies such as Spark, Kafka, Airflow, or dbt. Strong SQL skills and experience with cloud platforms (Azure preferred). Solid programming background in Python, Scala, or Java. Knowledge of data warehousing solutions (e.g. Snowflake More ❯

of ML approaches such supervised/unsupervised machine learning, reinforcement learning, Bayesian inference. AWS Certification is a strong benefit. Experience with Google Cloud’s Big Data tools. Proficient with Kafka is plus but not essential. If you’re a data visionary with the technical expertise and leadership qualities to shape the future of data in a fast-moving business More ❯

of ML approaches such supervised/unsupervised machine learning, reinforcement learning, Bayesian inference. AWS Certification is a strong benefit. Experience with Google Cloud’s Big Data tools. Proficient with Kafka is plus but not essential. If you’re a data visionary with the technical expertise and leadership qualities to shape the future of data in a fast-moving business More ❯

observability best practices. Knowledge of DevOps methodologies, CI/CD, and infrastructure as code (IaC). Proficiency in Python or Bash scripting for automation and integration. Experience working with Kafka, REST APIs, and webhook-based integrations. Exposure to cloud environments (AWS, Azure, Cloud) and container technologies (Docker, Kubernetes). Compensation: Hourly Rate: $70 - $75 per hour This range reflects More ❯

to solve complex problems into sustainable and long term solutions Technical/Tool Experience 10+ years in Java, spring framework 2+ years using Openshift - must have, event driven technologies (Kafka, Rabbit) 5+ years leveraging database platforms (e.g. SQL Server, Oracle, Mongo) 3+ years with event driven and microservices design 3+ years of data analysis, business rules, new data sourcing More ❯

supplemented by commensurate work experience. Proven experience in solution architecture within supply chain technology. Expertise in cloud platforms (Azure, AWS, GCP), ERP integration (SAP, Oracle), and event-driven systems (Kafka). Hands-on experience with Kubernetes, Snowflake, and ML frameworks (including BYOML) Develop messaging, drive internal enablement, and demonstrate key capabilities of the Blue Yonder platform, extensibility, value added More ❯

track record of collaborating with traders, product managers, and infrastructure teams in fast-paced environments. Nice to have skills: Strong background in API-based and message-driven architectures, including Kafka, JMS, or MQ-based Middleware. Proficiency with SQL for trade/order data analysis and reconciliation. Exposure to Java/Python for Scripting, debugging, or developing integration utilities. Familiarity More ❯

Lead Recruitment Consultant at K&K Talents Empowering companies with high-performing talents and strengthening their teams. Job Role: Kafka Senior Consultant Location: Amsterdam, Netherlands Technology: Apache Kafka, Confluent Platform, Stream Processing Employment Type: Permanent Your role: As a Confluent Consulting Engineer, you will be responsible for designing, developing, and maintaining scalable real-time data pipelines and integrations … using Kafka and Confluent components. You will collaborate with data engineers, architects, and DevOps teams to deliver robust streaming solutions. Required qualifications: Hands on experience with Apache Kafka (any distribution: open source, Confluent, Cloudera, AWS MSK, etc.) Strong proficiency in Java, Python, or Scala Solid understanding of event driven architecture and data streaming patterns Experience deploying Kafka on cloud platforms such as AWS, GCP, or Azure Familiarity with Docker, Kubernetes, and CI/CD pipelines Excellent problem solving and communication abilities Preferred qualifications: Experience with Kafka Connect, Kafka Streams, KSQL, Schema Registry, REST Proxy, Confluent Control Center Hands on with Confluent Cloud services, including ksqlDB Cloud and Apache Flink Familiarity with Stream Governance, Data More ❯

Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit . Job Title: Senior Specialist - Cloud Engineering (AWS Kafka Platform Engineer) Work Location- Jersey City, NJ Job Description: 8 years of experience with AWS Kafka platform engineer Bachelor's degree in computer science or related fields Minimum … Implementations are mandated Proficiency in Kafka Streams Kafka Connect and ksqlDB. Experience with AWS MSK Confluent Cloud and monitoring tools like Prometheus and Grafana Familiarity with Kubernetes CICD pipelines and GitOps workflows Proficiency in a wide range of public cloud technologies ex Cloud watchAWS EC2 EKS EBS RDS S3 etc. Experience with Amazon AWS cloud services such as … EC2 S3 SQS Kafka and RDS is preferred Design and manage AWS Kafka based streaming data pipelines. Configure and monitor Kafka clusters for performance and scalability. Integrate Kafka with AWS services like EC2 RDS Lambda and S3. Implement security protocols disaster recovery and high availability. Experience working with Kafka Confluent Cloud Schema Registry and KStreams. More ❯

training opportunities and social benefits (e.g. UK pension schema) What do you offer? Strong hands-on experience working with modern Big Data technologies such as Apache Spark, Trino, Apache Kafka, Apache Hadoop, Apache HBase, Apache Nifi, Apache Airflow, Opensearch Proficiency in cloud-native technologies such as containerization and Kubernetes Strong knowledge of DevOps tools (Terraform, Ansible, ArgoCD, GitOps, etc. More ❯