1 to 25 of 60 Kafka Jobs in the East of England

delivery practices Familiarity with Agile collaboration tools such as Jira and Confluence Comfort working with distributed teams Effective team communication skills Knowledge of Data Engineering practices and technologies, especially Kafka, Spark, and AWS in Java or Python Experience with BDD, TDD, and CI/CD practices Knowledge of GoCD, Jenkins, and Github is preferred Strong SQL skills and familiarity … our purpose to life. We champion a culture of innovation and challenge. Our teams of over 300 tech experts use the latest tools and technologies including Docker, Kubernetes, AWS, Kafka, Java, Scala, Python, .NET Core, Node.js, and MongoDB. There's something for everyone. We offer opportunities for growth. You'll have the tools and autonomy to develop your career More ❯

database design. Familiarity with cloud platforms (e.g., AWS, Azure) and microservices architecture. What Will Set You Apart Knowledge of DevOps tools and practices (e.g., Docker, Kubernetes). Experience with Kafka for real-time data streaming. Financial Services industry experience is advantageous but not essential. Strong communication skills and the ability to convey complex technical concepts to non-technical stakeholders. More ❯

Social network you want to login/join with: ??? X20 Senior Software Engineers Needed – Tech Start Up – Fully Remote - GO, Golang, PHP, GraphQL, GRPC, AWS, API, Microservices, Next.JS, React - Fully Remote???, hemel hempstead col-narrow-left Client: Location: hemel hempstead More ❯

integration security practices, including encryption, authentication, and access control. * Solid understanding of microservices architecture, distributed systems, and cloud-native deployments. Preferred Qualifications: * MuleSoft Certified Developer/Architect. * Experience with Kafka, ActiveMQ, or other message brokers. * Familiarity with Terraform, Ansible, or other IAC tools. * Experience working in Agile/Scrum environments APPLY NOW to avoid disappointment! LA International is a More ❯

on development experience in an airline, e-commerce or retail industry Experience in event-driven architecture, ingesting data in real time in a commercial production environment with Spark Streaming, Kafka, DLT or Beam. Experience implementing end-to-end monitoring, quality checks, lineage tracking and automated alerts to ensure reliable and trustworthy data across the platform. Experience of building a More ❯

management, data privacy, handling of sensitive data (e.g. GDPR) Desirable Skills Experience in event-driven architecture, ingesting data in real time in a commercial production environment with Spark Streaming, Kafka, DLT or Beam. Understanding of the challenges faced in the design and development of a streaming data pipeline and the different options for processing unbounded data (pubsub, message queues More ❯

e.g. access management, data privacy, handling of sensitive data (e.g. GDPR) Experience in event-driven architecture, ingesting data in real time in a commercial production environment with Spark Streaming, Kafka, DLT or Beam. Understanding of the challenges faced in the design and development of a streaming data pipeline and the different options for processing unbounded data (pubsub, message queues More ❯

??? X20 Senior Software Engineers Needed – Tech Start Up – Fully Remote - GO, Golang, PHP, GraphQL, GRPC, AWS, API, Microservices, Next.JS, React - Fully Remote Client: Location: Watford, Hertfordshire, United Kingdom Job Category: Other EU work permit required: Yes Job Views: 5 Posted More ❯

contract. Benefits include Medical, Dental, Vision, 401k with company matching, and life insurance. Rate: $80 - $86/hr W2 Responsibilities: Develop, optimize, and maintain data ingestion flows using Apache Kafka, Apache Nifi, and MySQL/PostgreSQL. Develop within AWS cloud services such as RedShift, SageMaker, API Gateway, QuickSight, and Athena. Coordinate with data owners to ensure proper configuration. Document … data visualization, and machine learning techniques. Proficiency in programming languages such as Python, R, and Java. Experience in building modern data pipelines and ETL processes with tools like Apache Kafka and Apache Nifi. Proficiency in Java, Scala, or Python programming. Experience managing or testing API Gateway tools and Rest APIs. Knowledge of traditional databases like Oracle, MySQL, etc., and More ❯

of people. What you will be involved in: Development and Maintenance of Real-Time Data Processing Applications by using frameworks and libraries such as: Spark Streaming, Spark Structured Streaming, Kafka Streams and Kafka Connect. Manipulation of Streaming Data: Ingestion, Transformation and Aggregation. Keeping up to date on Research and Development of new Technologies and Techniques to enhance our More ❯

.NET, .NET Core Strong API integration skills SQL Server and NoSQL databases Unit testing frameworks Messaging within a microservice architecture Agile development (Scrum experience preferred) Good to have skills: Kafka A modern front-end framework (e.g., Angular) Docker containerization Domain-driven design What the offer: Monthly Allowance for Lunch Private & Life Plan Insurance for you and your family Team More ❯

application architecture and microservices. Strong grasp and professional experience with concurrent programming, concepts idempotency and distributed transaction management in application logic. Familiarity with the technologies in our stack, including Kafka, Redis, and Kubernetes. Practical experience with MongoDB would be considered a big advantage. Knowledge of AngularJS is a plus. Passion in the eyes and swiftness in the fingers ;) What More ❯

in setting up and managing monitoring, metrics, and alerting systems Experience operating production-grade services at scale Great to have: Experience with tools such as: Terraform, SaltStack, MongoDB, Elasticsearch, Kafka, Prometheus, Grafana or HashiCorp Vault Experience with securing applications, services, and data, including authentication, authorization, TLS, and encryption Exposure to Kubernetes (administering, deploying, or developing apps on K8s clusters More ❯

Bash), VCS (git), and Linux Proven experience in cross-functional teams and able to communicate effectively about technical and operational challenges. Preferred Qualifications: Proficiency with scalable data frameworks (Spark, Kafka, Flink) Proven Expertise with Infrastructure as Code and Cloud best practices Proficiency with monitoring and logging tools (e.g., Prometheus, Grafana) Working at Lila Sciences, you would have access to More ❯

in setting up and managing monitoring, metrics, and alerting systems Experience operating production-grade services at scale Great to have: Experience with tools such as: Terraform, SaltStack, MongoDB, Elasticsearch, Kafka, Prometheus, Grafana or HashiCorp Vault Experience with securing applications, services, and data, including authentication, authorization, TLS, and encryption Exposure to Kubernetes (administering, deploying, or developing apps on K8s clusters More ❯

3+ years of experience in cloud architecture and implementation - Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience - Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) - Experience in consulting, design and implementation of serverless distributed solutions - Experience in software development with object oriented language PREFERRED QUALIFICATIONS - AWS experience preferred, with proficiency in a wide More ❯

to professionals from various data eng. backgrounds — data pipelines, ML Eng, data warehousing, analytics engineering, big data, cloud etc.) Technical Exposure: Experience with tools like SQL, Python, Apache Spark, Kafka, Cloud platforms (AWS/GCP/Azure), and modern data stack technologies Formal or Informal Coaching Experience: Any previous coaching, mentoring, or training experience — formal or informal (no need More ❯

to professionals from various data eng. backgrounds — data pipelines, ML Eng, data warehousing, analytics engineering, big data, cloud etc.) Technical Exposure: Experience with tools like SQL, Python, Apache Spark, Kafka, Cloud platforms (AWS/GCP/Azure), and modern data stack technologies Formal or Informal Coaching Experience: Any previous coaching, mentoring, or training experience — formal or informal (no need More ❯

to professionals from various data eng. backgrounds — data pipelines, ML Eng, data warehousing, analytics engineering, big data, cloud etc.) Technical Exposure: Experience with tools like SQL, Python, Apache Spark, Kafka, Cloud platforms (AWS/GCP/Azure), and modern data stack technologies Formal or Informal Coaching Experience: Any previous coaching, mentoring, or training experience — formal or informal (no need More ❯

to professionals from various data eng. backgrounds — data pipelines, ML Eng, data warehousing, analytics engineering, big data, cloud etc.) Technical Exposure: Experience with tools like SQL, Python, Apache Spark, Kafka, Cloud platforms (AWS/GCP/Azure), and modern data stack technologies Formal or Informal Coaching Experience: Any previous coaching, mentoring, or training experience — formal or informal (no need More ❯

to professionals from various data eng. backgrounds — data pipelines, ML Eng, data warehousing, analytics engineering, big data, cloud etc.) Technical Exposure: Experience with tools like SQL, Python, Apache Spark, Kafka, Cloud platforms (AWS/GCP/Azure), and modern data stack technologies Formal or Informal Coaching Experience: Any previous coaching, mentoring, or training experience — formal or informal (no need More ❯

to professionals from various data eng. backgrounds — data pipelines, ML Eng, data warehousing, analytics engineering, big data, cloud etc.) Technical Exposure: Experience with tools like SQL, Python, Apache Spark, Kafka, Cloud platforms (AWS/GCP/Azure), and modern data stack technologies Formal or Informal Coaching Experience: Any previous coaching, mentoring, or training experience — formal or informal (no need More ❯

to professionals from various data eng. backgrounds — data pipelines, ML Eng, data warehousing, analytics engineering, big data, cloud etc.) Technical Exposure: Experience with tools like SQL, Python, Apache Spark, Kafka, Cloud platforms (AWS/GCP/Azure), and modern data stack technologies Formal or Informal Coaching Experience: Any previous coaching, mentoring, or training experience — formal or informal (no need More ❯

to professionals from various data eng. backgrounds — data pipelines, ML Eng, data warehousing, analytics engineering, big data, cloud etc.) Technical Exposure: Experience with tools like SQL, Python, Apache Spark, Kafka, Cloud platforms (AWS/GCP/Azure), and modern data stack technologies Formal or Informal Coaching Experience: Any previous coaching, mentoring, or training experience — formal or informal (no need More ❯

to professionals from various data eng. backgrounds — data pipelines, ML Eng, data warehousing, analytics engineering, big data, cloud etc.) Technical Exposure: Experience with tools like SQL, Python, Apache Spark, Kafka, Cloud platforms (AWS/GCP/Azure), and modern data stack technologies Formal or Informal Coaching Experience: Any previous coaching, mentoring, or training experience — formal or informal (no need More ❯